Senior Engineering Manager for Data Solutions

Join Mixpanel as a Senior Engineering Manager focused on Data Solutions! In this pivotal role, you will lead a talented team of engineers in designing and implementing innovative data solutions that empower organizations to make data-driven decisions. You will be instrumental in shaping our engineering practices, driving technical excellence, and fostering a…

Role Overview Join our innovative team as a Senior Data Engineer focused on Solutions Architecture, where you will architect, develop, and sustain our critical data infrastructure that enhances our renewable energy operations. In this dynamic role, you will bridge the realms of renewable energy and data, creating pipelines that handle various data types, from real-time asset performance metrics to intricate trading and risk analytics. This hybrid position allows you to contribute to the advancement of clean energy initiatives while utilizing a modern data stack, including Snowflake, Dagster, dbt, Modal, and GitLab. Key Responsibilities Analytics Infrastructure & Data Warehouse Management Design, implement, and manage scalable data infrastructures to meet the analytical and reporting demands of the enterprise. Oversee Snowflake instances, focusing on performance optimization, security measures, and planning for increasing data volumes. Enhance query performance and resource efficiency to minimize costs and accelerate processing times. Data Pipeline Development & Orchestration Create and orchestrate sophisticated ETL/ELT workflows utilizing Dagster to ensure dependable, automated data processing for asset management and energy trading. Construct robust data pipelines capable of managing high-throughput, time-sensitive energy market data, along with asset generation and performance metrics. Establish workflow automation and dependencies for essential business operations. Data Transformation & Analytics Support Design and maintain dbt models to convert raw data into business-ready analytical datasets and dimensional models. Implement efficient SQL transformations for complex calculations related to energy markets and asset performance. Facilitate advanced analytics efforts through effective data preparation and feature engineering. Data Quality & Governance Develop comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets. Establish data lineage tracking and privacy controls to comply with regulatory standards in the energy industry. Create alerting and monitoring systems for data pipelines, encompassing error management, SLA monitoring, and incident response.

Are you ready to make a difference? Join our team! GoFundMe Pro (previously Classy) is on the lookout for a Senior Manager, Solutions Engineering who will spearhead and enhance our Solutions Engineering department as we expand our enterprise business. This pivotal role exists at the confluence of sales, product development, engineering, and customer success, ensuring that we provide technically robust, scalable, and innovative solutions to our esteemed nonprofit clients. This position reports directly to the Senior Director of Solutions & Partnerships. The selected candidate will lead and nurture a team of Solutions Engineers while remaining actively involved in intricate deals, strategic account management, and cross-functional projects. Your influence will shape our technical presence in the marketplace, foster collaboration with the Sales team, and guide how customer insights inform our strategic roadmap. This is a high-impact leadership opportunity for an individual who has extensive experience in the enterprise Solutions Engineering field, possesses the ability to mentor senior technical talent, and excels at simplifying complexity for both clients and internal stakeholders. Location: Candidates must reside in the San Francisco Bay Area, with an in-office requirement of three days per week. Key Responsibilities: Lead, mentor, and develop a team of Enterprise Solutions Engineers dedicated to supporting complex, high-value nonprofit clients. Establish expectations, best practices, and quality standards for technical discovery, solution design, demonstrations, and customer engagement. Coach Solutions Engineers on executive presence, compelling technical narratives, and managing lengthy, multi-stakeholder enterprise sales processes. Collaborate with Recruiting and cross-functional leaders on hiring, onboarding, and team growth. Enterprise Sales & Technical Strategy: Act as a senior technical authority on the most complex and significant enterprise opportunities. Work closely with Sales leadership to ensure alignment on deal strategies, technical positioning, and resource allocation. Guarantee consistency and rigor in how solutions are designed, articulated, and marketed throughout the sales funnel. Assist with RFPs, security reviews, integration discussions, and architectural assessments as required. Cross-Functional Collaboration: Serve as a critical link between Solutions Engineering, Product, Engineering, and other teams to ensure seamless operations.

Join Our Team as a Senior Solutions EngineerLocation: San Francisco, CAAbout UsAt Metriport, we are revolutionizing healthcare data management with our open-source data intelligence platform. We empower healthcare organizations to access and exchange patient data in real-time, seamlessly integrating with all major US healthcare IT systems. Our comprehensive medical data repository serves over 300 million individuals.We have achieved product-market fit with a multi-million ARR and a growing base of over 100 customers, including notable names like Strive Health, Circle Medical, and Brightside Health. Backed by leading venture capitalists, we are poised for significant growth. Our close-knit, high-achieving team, comprised primarily of former founders (including two Y Combinator alumni), operates with minimal bureaucracy, high autonomy, and a commitment to excellence. While our founders dedicate six days a week in our San Francisco office, we encourage flexibility in scheduling to ensure a sustainable work-life balance.Your ProfileWe are seeking a Solutions Engineer who embodies the following qualities:An entrepreneurial spirit with a strong work ethic, reflecting the mindset of our engineering team.A knack for building lasting customer relationships and providing invaluable technical insights.A problem-solver who takes ownership of their work, regardless of domain expertise.A focus on delivering customer value over the latest technological trends.A proactive attitude that challenges project timelines and seeks efficiency.A hacker mentality with a clear understanding of when to follow or bend the rules.Your ResponsibilitiesYou will quickly become familiar with our domain and codebase through our comprehensive onboarding process, allowing you to engage with customers promptly. Your daily activities will include:Acting as the primary contact for customers throughout their journey with us.Conducting discovery sessions and gathering requirements to tailor our solutions effectively.

Join Lever's dynamic go-to-market team as a Senior Solutions Engineer, where your expertise will directly influence our customer's analytics and business intelligence workflows. In this pivotal role, you will collaborate closely with the sales, product, and customer success teams to ensure a seamless integration of the Sisu platform into our client’s operations. Your responsibilities will include establishing technical pre-sales relationships, designing innovative technical architectures, and crafting tailored solutions to complex challenges.As a vital link between Sales and Product, your insights will drive the evolution of our operational analytics platform. You will provide valuable feedback to the Product and Marketing teams, shaping the future roadmap and go-to-market strategies. This position offers the unique opportunity to leverage your analytical and data science expertise while engaging in creative brainstorming sessions with customers to tackle demanding problems.Within our compact and agile team, you will not only engage with clients but also participate in mentoring new team members, presenting at various events, and contributing to content that reaches a global audience.

Peregrine Technologies builds AI-powered tools for public safety, government, and private organizations. Our platform connects fragmented data, giving clients immediate access to information that supports better decisions and outcomes. Today, we serve hundreds of clients across more than 30 states and two countries, reaching over 125 million people. Backed by leading Silicon Valley investors, we are expanding into enterprise and international markets. About the Engineering Team Peregrine’s engineers focus on building solutions with empathy for users. Understanding real-world product use is central to our approach, and engineers work closely with onsite colleagues to learn about the varied needs our clients face. Collaboration and hands-on problem solving are core to how we work. Role Overview: Senior Software Engineer, Data Governance This role sits within our core engineering group. The team tackles projects such as enabling real-time collaboration on complex maps and building backend systems that handle billions of data points at scale. The Data Governance team designs and builds services, systems, and product features that help clients manage their data assets from start to finish within Peregrine. The team’s work centers on secure, precise data access and strong audit controls. Location San Francisco, CA

About RoxRox is pioneering an AI-native revenue operating system designed specifically for modern go-to-market teams. Supported by notable investors such as Sequoia, GV, and General Catalyst, we are collaborating with ambitious enterprise teams to transform fragmented CRM workflows into intelligent, autonomous systems. Rox seamlessly integrates data across the GTM stack, deploys AI agents for tangible tasks, and equips revenue leaders with a clear, unified view of the key drivers of success.As a nimble Series A startup, we are challenging one of the most established categories in software—achieving victory through a blend of deep technical expertise and an unwavering focus on utility.About the Solutions Engineering TeamAt Rox, the Solutions Engineering team is not merely a support function; it plays a crucial role in shaping products and defining deals. This team operates at the intersection of Sales, Product, and Engineering, tasked with translating Rox’s technical capabilities into compelling customer value.You will join the foundational team in San Francisco, reporting directly to our Solutions Engineering leader. Working alongside three current Solutions Engineers, you will help establish how this function scales in SF. The practices you develop—such as how we demo, scope, integrate, and sell—will serve as the blueprint for the future of the company.About the RoleThis is a founding-level Solutions Engineer role for individuals who are technical, customer-focused, and passionate about redefining the sales engineering landscape.Your responsibilities will involve engaging directly with live deals: conducting technical discovery, crafting integrations, and leading demonstrations that clearly illustrate how Rox fits within customers’ data and GTM environments. This role transcends mere execution; you will identify inefficiencies in the sales process and implement improvements—enhancing demo experiences, refining technical narratives, and setting higher standards for those who follow.If you thrive on being the go-to person who can delve deeply into technical aspects while simplifying complexity for others, this role is tailored for you.What You’ll DoQuickly become a product expert, gaining deep insights into Rox’s architecture, use cases, and customer workflows.Collaborate closely with Sales to deliver impactful technical demos and support deals from initial contact to closure.Design and articulate integrations across data warehouses, CRMs, AI agents, and contemporary GTM tools.Facilitate technical discovery discussions that uncover genuine customer challenges rather than just stated requirements.Translate complex technical information into easily digestible insights for stakeholders.

FEQ127R13 We invite exceptionally qualified candidates from various locations on the East Coast to apply for this exciting opportunity. Mission As a Senior Solutions Architect at Databricks, you will play a pivotal role in advancing the Databricks Data Intelligence Platform. Our team is well-versed in cloud technologies, data engineering, analytics, data science, machine learning, and AI. You will leverage open source projects like Apache Spark™, Delta Lake, and MLflow to enhance your expertise and contribute to the success of our customers. This is a customer-facing position where you will collaborate with clients, team members, product teams, post-sales support, and partners to identify use cases, develop architecture and solutions, and guide customers through successful implementations, leading to impactful business outcomes. Building strong relationships with customers, nurturing champions, and establishing yourself as a trusted advisor will be key aspects of your role. You will report to a Field Engineering Manager within our Financial Services team. Your Impact: Collaborate with the sales team to demonstrate how Databricks can address customer challenges. Provide technical leadership to clients in evaluating and adopting Databricks. Consult on big data architecture, execute proof of concepts for strategic projects, and validate integrations with cloud services and third-party applications. Create and present reference architectures, how-tos, and application demonstrations for clients. Promote open source projects (Apache Spark™, Delta Lake, MLflow, Unity Catalog) within developer communities through meetups, conferences, and webinars. Travel to meet customers in your designated territory. What We Are Looking For: 10+ years in a customer-facing pre-sales or consulting role, ideally with big data technologies addressing data engineering and analytics challenges. Proven experience in designing and architecting distributed data systems. Proficient in programming and debugging in at least one of the following: Python, SQL, Scala, Java, or R. Experience with global system integrators, consulting firms, or technology providers in the financial services sector is a plus. Hands-on experience building solutions with major public cloud providers like AWS, Azure, or GCP. Familiarity with Data Engineering technologies such as Spark, Hadoop, or Kafka.

Join Cloudflare as a Senior Solutions Engineer, where you will be at the forefront of delivering cutting-edge solutions to our clients. In this role, you will leverage your technical expertise to engage with customers, understand their needs, and provide innovative solutions that drive their success.As a Senior Solutions Engineer, you will collaborate with cross-functional teams to create tailored solutions, ensuring our products meet the unique requirements of each client. Your ability to articulate complex concepts and foster relationships will be crucial in this fast-paced, dynamic environment.

At Stytch, we are transforming the landscape of user authentication and anti-fraud tools, empowering developers to create intricate authentication systems with ease and speed. Our mission is to simplify complex processes and enhance security for our clients.We are seeking a seasoned Solutions Engineer who excels in educating and solving problems, while building strong relationships with developers from leading companies. In this pivotal role, you will assess our clients' needs, articulate design solutions, and guide technical assessments. As the authentication expert, you will work closely with our customers’ engineering teams to ensure a seamless evaluation experience.This is a hybrid, full-time role based in the San Francisco Bay Area. While we value in-person collaboration, we understand the importance of flexibility, so we're looking for someone who is eager to meet in the office 2-3 days a week.

Join Databricks as a Senior Product Manager in Data Engineering!At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging problems in the world, from revolutionizing transportation to advancing medical innovations. We accomplish this by creating and operating the premier data and AI infrastructure platform, allowing our clients to leverage profound data insights to enhance their businesses.Data Engineering is a critical component of the Databricks Data Intelligence Platform, supporting some of the largest workloads. We are redefining Data Engineering with Lakeflow—a cohesive product that simplifies data ingestion, declarative data transformation, and real-time streaming capabilities. In this pivotal role, you will be responsible for leading the product management of a key Lakeflow area, taking charge of all facets of product management, including vision, strategy, roadmap, execution, and go-to-market initiatives. Additionally, you will collaborate closely with various product teams within Databricks to enhance Data Engineering across our suite of products, including data science, data warehousing, business intelligence, and machine learning offerings.Your Impact:Steer product management for one of the fastest-growing products at Databricks.Create a significant impact across the organization by enhancing Data Engineering throughout the Databricks product suite.Deepen your knowledge and expertise in Data Engineering, a foundational domain within the data and AI landscape.Define and shape the future of data processing, applications, and pipelines.Oversee the entire product development lifecycle, from ideation through to requirements gathering, development, pricing, launch, and marketing.

The OpportunityJoin Enigma at a pivotal moment as we prepare to unveil our next generation of small business intelligence products, informed by years of industry experience. We are in search of a seasoned Senior Data Engineer who will play a crucial role in shaping the future of these innovative products. Your contributions will significantly enhance the accuracy, scalability, and predictive analytics of our data platform, directly impacting our clients' key business strategies.The RoleAs a Senior Data Engineer, your primary responsibility will be to design, construct, and manage our foundational small business data product. You'll work closely with cross-functional teams to develop new product functionalities, starting from raw data sources, through scalable data pipelines and models, to the customer interface. Our culture emphasizes customer focus and complete ownership, measuring your success by the value delivered and the technical excellence of our product.What You’ll DoIdentify and address the unmet needs of our customers through thorough data exploration, prototyping, and evaluation, culminating in the development of robust and maintainable data pipelines.Construct scalable and maintainable data systems that narrate the stories of millions of U.S. small businesses, utilizing tools like Databricks SQL, PySpark, and MLFlow.Leverage our pioneering data infrastructure designed for iterative development and experimentation, utilizing Dagster for orchestration and LakeFS for data version control.Employ a data-driven, first-principles approach to problem-solving, favoring straightforward and elegant solutions while being capable of deploying advanced models and techniques when necessary.Motivate your colleagues to excel while nurturing a collaborative and supportive team environment.What Makes This Role Exciting?Ownership and Impact: Collaborate directly with customers and internal teams to develop product features in a high-trust environment.Technical Challenge: Solve complex data and engineering challenges, balancing innovation speed with scalability and reliability.Learning: Engage with unique, impactful data challenges that demand creative solutions and cutting-edge methodologies.

Join Unify as a Senior Data Engineer, EnrichmentAt Unify, we are pioneering the first AI-driven action system for revenue teams, enabling organizations to transform their outbound efforts into a powerful growth engine. Our technology makes go-to-market strategies observable, repeatable, and scalable. Established in 2023 by visionaries from Ramp and Scale AI, our team boasts experience from industry giants such as Airbnb, Meta, Waymo, and Perplexity.In 2024, we achieved an impressive 8x revenue increase and cater to esteemed clients like Perplexity, Cursor, SoFi, and Justworks. We are a dynamic and high-energy team that has successfully raised $58M from prominent investors including Thrive, Emergence, and OpenAI. Help us shape the future of go-to-market strategies - come aboard!Role OverviewAs a Senior Data Engineer focusing on Enrichment, you will take ownership of the systems that create and uphold the most extensive and high-quality first-party contact dataset available. Your responsibilities will include designing data pipelines that assimilate information from various vendors, developing intelligence to evaluate data source reliability, and establishing a quality framework that secures Unify's data as a competitive advantage.

About AlembicAlembic is at the forefront of transforming marketing strategies, demonstrating the actual ROI of marketing initiatives. Our cutting-edge Alembic Marketing Intelligence Platform employs advanced algorithms and AI models to address this longstanding challenge effectively. By joining our team, you'll contribute to the development of tools that deliver unparalleled insights into how marketing influences revenue, empowering a growing roster of Fortune 500 companies to make data-driven decisions with confidence.About the RoleIn your role as a Senior Data Engineer at Alembic, you will play a crucial role in our data platform. You will be responsible for creating scalable and dependable data pipelines, optimizing storage solutions, and facilitating both real-time and batch analytics. Collaborating closely with data scientists, software engineers, and product leaders, you will design and implement robust data architectures that propel our mission forward.Key ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines that efficiently ingest, process, and transform extensive volumes of structured and unstructured data.Optimize data storage solutions utilizing modern data lakehouse architectures and industry best practices to enhance cost-effectiveness, performance, and reliability.Collaborate with data scientists and engineers to seamlessly integrate machine learning models and analytical workloads into production environments.Ensure the integrity, quality, and security of data by implementing monitoring, alerting, and governance best practices.Work with cloud-based data warehouses and distributed data processing frameworks to support our data initiatives.Continuously assess and implement innovative technologies to enhance data infrastructure and operational efficiency.What We’re Looking For10+ years of experience in data engineering, software engineering, or a related field.Strong proficiency in SQL and Python for data processing.Experience with contemporary data warehousing and lakehouse solutions (e.g., Iceberg or similar).Expertise in distributed systems and big data technologies (Apache Spark, Hadoop, Kafka, Flink).Hands-on experience with cloud platforms (AWS, GCP, Azure) and related data services.Deep understanding of data management and governance practices.

Front Careers seeks a Senior Data Engineer based in San Francisco, CA. This position centers on building and maintaining data systems that power analytics and reporting throughout the organization. Key responsibilities Design and maintain data architecture to meet analytics and reporting requirements Develop, optimize, and support data pipelines for reliability and scalability Collaborate with teams across the company to improve data quality, accessibility, and security Enhance and maintain the data infrastructure supporting company operations Role overview This role focuses on ensuring that data flows efficiently and securely, enabling teams to access the information they need for business decisions. The Senior Data Engineer will play a central part in shaping how data is managed and used at Front Careers.

About OmniOmni is a cutting-edge business intelligence and embedded analytics platform designed to empower customers to explore, analyze, and act on their data effectively.With our headquarters in San Francisco and additional hubs across EMEA and APAC, we are supported by prominent investors such as ICONIQ Growth, Theory Ventures, First Round Capital, Redpoint Ventures, Google Ventures, Snowflake Ventures, and Databricks Ventures.About the RoleAs a Senior Pre-Sales Solutions Engineer, you will gain in-depth expertise in the Omni platform, enabling our customers to maximize their data utilization throughout its lifecycle. You will engage with organizations from various sectors, regions, and sizes. Our high-touch, forward-deployed model encourages continuous learning and discovery of new use cases and customer needs. You'll passionately advocate for our users and contribute to shaping product direction by relaying experiences and insights from the field.Your Responsibilities:Collaborate with the sales team to deliver technical expertise throughout the sales process, uncovering and validating use cases that demonstrate the Omni platform's value.Create and deliver compelling Proofs of Concept utilizing the Omni Platform during the evaluation phase and guide prospective customers on how to effectively leverage Omni with their data.Facilitate seamless transitions of trials into successful customer relationships by partnering with post-sales teams and coordinating ongoing support with our partners.Work closely with Product, Design, and Engineering teams to provide user feedback that will inform and enhance product development.Your Qualifications:7+ years of experience in data analytics or a technical pre-sales capacity.Proficient SQL skills, with a focus on analytics.Experience in client-facing roles, with a strong desire to collaborate closely with customers.Exceptional consultative communication skills, capable of engaging both technical and non-technical audiences.A genuine passion for working with data.A commitment to continuous learning and a desire to help and educate others.Prior experience with business intelligence and/or enterprise data analytics tools, preferably with modeled BI solutions like Looker.

About tvScientific tvScientific is the pioneering CTV advertising platform specifically designed for performance marketers. We harness extensive data and advanced technologies to automate and enhance TV advertising, ultimately driving measurable business results. Our platform seamlessly integrates media buying, optimization, measurement, and attribution into a single, efficient solution. Developed by industry veterans with deep expertise in programmatic advertising, digital media, and ad verification, our CTV performance platform offers advertisers a reliable avenue to expand their business. As a Senior Data Engineer at tvScientific, you will play a crucial role in establishing the robust data infrastructure that supports our data-intensive operations. You will work in collaboration with cross-functional teams to refine our core data pipelines, ensuring efficient scaling as we grow, and optimizing data storage solutions. This individual contributor role requires you to define and execute a strategic vision for data engineering within the company. Key Responsibilities: Develop and implement a robust data infrastructure in AWS, utilizing Spark with Scala. Enhance our core data pipelines to efficiently accommodate our significant growth. Optimize data storage solutions in appropriate engines and formats. Collaborate with cross-functional teams to design data solutions that align with business objectives. Construct fault-tolerant batch and streaming data pipelines. Leverage and optimize AWS resources while scaling design. Work closely with Data Science and Product teams to achieve collective goals. Success Metrics: Successful establishment of scalable and efficient data infrastructure. Timely delivery and optimization of data assets and APIs. High attention to detail in the implementation of automated data quality checks. Effective collaboration with cross-functional teams. What We’re Looking For: Proven experience in production data engineering. Expertise in Spark and Scala, with a track record of building data infrastructure using these technologies. Familiarity with data lakes, cloud warehouses, and various storage formats. Strong proficiency in AWS services. Advanced SQL skills for data manipulation and extraction. Exceptional written and verbal communication abilities. Bachelor's degree in Computer Science or a related discipline. Nice to have: Experience with additional data processing frameworks.

The ideal candidate for this role will be a seasoned pre-sales professional with a proven history of transforming large enterprises into data-centric organizations. Collaborating closely with the Account Executive (AE), you will spearhead the technical strategy for our most significant clients in the Retail and Consumer Packaged Goods (CPG) sectors, driving broader utilization of our innovative solutions and enhancing the adoption of Machine Learning (ML) and Artificial Intelligence (AI). Your extensive expertise in value selling, technical account management, and leadership will be essential in maximizing the success of these partnerships. You will guide a talented team of technical resources in creating proofs of concept and showcasing Databricks' cutting-edge products. A deep understanding of ML and AI applications across various use cases pertinent to our target accounts in the Retail and CPG industry is crucial.

About the OpportunityAs a Senior Data Engineer at Hinge Health, you will take the lead on developing and maintaining the data architecture that drives real-time experiences for our users. You will be responsible for constructing and optimizing data pipelines that aggregate data from numerous upstream services, including Kafka event streams and transactional databases, into a cohesive data platform that supports both real-time APIs and analytical tasks on Databricks. Your contributions will directly support AI-driven coaching assistants and physical therapy applications utilizing real-time member data, including engagement logs and clinical information, to provide tailored recommendations. This role places you at the crossroads of data engineering and artificial intelligence, constructing the dependable, low-latency data infrastructure essential for these systems.You will engage with a cutting-edge tech stack: employing Python, Flink, and PySpark for pipeline development, Kafka for event streaming, Delta Lake for scalable data storage, and Aurora PostgreSQL for operational data management.This role emphasizes high ownership. You will collaborate closely with application engineers, data scientists, and AI teams across the organization to define the data flow from its inception to its consumption. Furthermore, you will assist in establishing standards and practices that empower product teams to manage their own data in a HIPAA-compliant environment. If you are passionate about creating the data infrastructure that underpins AI systems impacting health outcomes, we encourage you to apply.Our technology stack includes: Python, SQL, dbt, Airflow, PostgreSQL, MySQL, REST, Aptible, Docker, Tonic.ai, Terraform, Spark, Kafka, Flink, Fivetran, Databricks, and AWS (S3, Lambda, Kinesis, RDS, Glue).Key ResponsibilitiesDesign and construct the data architecture for AI-enhanced health solutions - You will build and oversee data pipelines that cover both streaming and batch processes, from data ingestion to serving. This includes creating ingestion layers that pull data from Kafka event streams and transactional databases, executing transformations using Flink, Databricks, and dbt, and making informed decisions about the placement and purpose of transformations. You will manage pipelines across the entire stack: from raw ingestion to normalized staging, aggregated analytical models, and the serving layer relied upon by downstream consumers including real-time APIs, BI tools, and AI applications. You will establish data contracts, oversee schema evolution, and ensure the data you deliver is well-documented and reliable for others to utilize.Maintain platform reliability and data integrity - Define and monitor SLAs (Service Level Agreements) to ensure system performance and data quality.

About Formation BioFormation Bio is a cutting-edge pharmaceutical company harnessing the power of technology and AI to transform drug development. As advancements in AI and drug discovery generate more candidate drugs than the industry can efficiently progress through clinical trials, Formation Bio, originally founded as TrialSpark Inc. in 2016, has developed innovative technology platforms and processes to streamline every aspect of drug development and clinical trials. Our mission is to alleviate the bottleneck in drug development to ensure that new medicines reach patients more swiftly. We collaborate, acquire, or in-license drugs from pharmaceutical companies, biotechs, and research organizations to advance programs beyond clinical proof of concept, ultimately delivering new therapies to patients. Our esteemed investors include a16z, Sequoia, Sanofi, Thrive Capital, Sam Altman, John Doerr, Spark Capital, SV Angel Growth, and many others. Explore more about us through the following links:Our Vision for AI in PharmaOur Current Drug PortfolioOur Technology & PlatformAt Formation Bio, our core values empower our mission to revolutionize the pharmaceutical landscape. Every member of our team embodies these values and contributes significantly to our goal of expediting access to new treatments for patients. About the PositionWe are seeking a Senior Data Engineer to become a vital part of our Scientific Data Intelligence (SDI) team at Formation Bio. Your primary responsibility will be to enhance and scale the data infrastructure that supports our drug development platform. This role will require you to collaborate closely with the Data Science team, developing coherent, well-structured data models, feature engineering pipelines, and evidence layers that are foundational to their scientific endeavors. In addition, you will be tasked with ingesting data from diverse sources—APIs, files, databases, and licensed third-party datasets—and transforming it into clean, analytics-ready assets utilizing modern data tools.This position is ideal for an individual who takes pride in building robust systems: reliable data pipelines, well-organized data models, and frameworks that colleagues can confidently rely upon. You will work in conjunction with Data Scientists and other engineering experts to propel our mission forward.