Senior Data Engineer at NBCUniversal | New York

Role overview The Senior Data Engineer at NBCUniversal Media, LLC plays a key part in developing and maintaining data solutions that power analytics and business intelligence throughout the organization. Based in New York, this position collaborates with teams from various departments to ensure that data remains accurate, accessible, and prepared for analysi…

About UsAt DriveWealth, our mission is to simplify the investing process. We envision a world where everyone can take charge of their financial destiny, with access to financial markets unbound by geography, wealth, or outdated systems. As a global B2B financial technology firm, we are committed to democratizing financial independence worldwide. Our API-driven platform enables our partners to deliver smooth investing and trading experiences to clients across the globe, all through their mobile devices. We offer an advanced, adaptable toolkit for our partners, facilitating traditional investment workflows alongside innovative solutions like fractional share ownership. DriveWealth has transformed into a comprehensive global platform, enabling the trading of US equities, mutual funds, ETFs, fixed income, and options.Now is a pivotal moment to shape a groundbreaking enterprise, and our team is exceptionally positioned for this endeavor. Our culture merges the swift and dynamic nature of a fintech start-up with the impact, stability, and meticulousness characteristic of Wall Street. We foster creativity and experimentation while upholding institutional-grade execution and regulatory compliance in every endeavor. Join us and be part of the evolution of global investing!About The Role:The Regulatory Technology (RegTech) team at DriveWealth is dedicated to creating data products that support our Compliance organization in supervisory reporting and external regulatory obligations. We are seeking a Senior Data Engineer who will take charge of regulatory-related data products. This role involves the complete automation of data ingestion, transformation, orchestration, and the delivery of top-tier data products to both internal and external stakeholders. The end products may range from BI reports and data marts to bulk raw data deliveries and REST API endpoints.The ideal candidate will thrive in an automated, modular, and testable environment and will collaborate closely with the broader Data Platform, Analytics Engineers, Product Management, and Compliance teams to ensure that requirements are met with scalable technical designs grounded in solid engineering principles.

About the Position As a Senior Data Acquisition Engineer, you will take ownership of and enhance the systems designed for large-scale web data collection. Your responsibilities will include the design and maintenance of high-performance scraping and ingestion infrastructure that allows various teams to systematically add and manage data sources with reliability. This role is integral to the Data Engineering team, concentrating on creating scalable, observable, and resilient systems that effectively manage production data. You will collaborate closely with data engineers and product teams to elevate data pipelines and ensure that data acquisition processes scale alongside business growth. Join us to shape the future of AI-driven technologies and contribute significantly to impactful real-world applications. This position is based in our NYC office and operates under a hybrid working model.

At Garner, our mission is to revolutionize the healthcare economy by making high-quality and affordable care accessible to everyone.We are fundamentally transforming the U.S. healthcare landscape by collaborating with employers to redesign healthcare benefits through clear incentives and powerful, data-driven insights. Our innovative approach leads employees towards higher-quality, lower-cost care, establishing a system that benefits all stakeholders. Patients experience improved health outcomes, employers utilize healthcare dollars more effectively, and physicians are rewarded for delivering outstanding care rather than simply increasing the volume of procedures.Garner stands as one of the fastest-growing healthcare technology firms in the nation. Our solutions are trusted by some of the most sophisticated employers and providers in the industry, as we build a team of talented, mission-driven professionals eager to make a significant impact on healthcare at scale.About the Role:We are in search of a stellar Engineering Manager to lead the team responsible for our national healthcare provider rankings systems. Reporting to the VP of Health Intelligence Engineering, the ideal candidate will exhibit a strong sense of ownership, comfort in mentoring engineers across all experience levels, familiarity with distributed systems, and the ability to deliver complex technical solutions effectively.Working Environment:This position is based in our New York City office, requiring in-office work three days a week on Tuesday, Wednesday, and Thursday.Your Responsibilities:Provide technical leadership and deliver new features in line with Garner’s strategic goals.Take ownership of the core systems that generate provider rankings.Ensure high quality standards while promoting timely and efficient delivery.Balance the development of new features with the need to scale and optimize existing systems.Collaborate across different disciplines to identify bottlenecks and risks, propose mitigations, and communicate trade-offs.Advocate for data privacy and security in all data initiatives.Cultivate a high-performing, collaborative team culture through proactive leadership, mentorship, and talent development.Ideal Candidate Qualifications:5+ years of hands-on engineering experience, particularly in Big Data and distributed systems.1+ years of experience managing engineering teams, with a proven track record of building and mentoring high-performing teams.

About UsAt Imprint, we are redefining the landscape of co-branded credit cards and financial products by prioritizing innovation, user experience, and brand identity. Our partnerships with renowned companies such as Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers enable us to launch cutting-edge credit programs that enhance customer loyalty, generate savings, and promote business growth. We leverage advanced payment infrastructures, intelligent underwriting, and seamless user experiences to empower brands to deliver impactful financial solutions without the complexities of traditional banking.With over $300 billion in annual U.S. spending on co-branded cards still reliant on outdated banking systems, Imprint emerges as the forward-thinking alternative—flexible, technology-driven, and designed for the modern consumer. Supported by prestigious investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a world-class team to revolutionize payment solutions and drive brand success. If you're ready to tackle challenging problems and make a tangible impact, we would love to connect.Discover more about our journey on Imprint's Technology blog.Our TeamThe Data Engineering team at Imprint plays a crucial role in developing and scaling the data infrastructure that supports product innovation, analytics, operations, and machine learning throughout the organization. We manage the pipelines, platforms, and processes that enable our stakeholders to rely on and utilize our data effectively.We are in search of a Senior Data Engineer to enhance our modern data architecture and deliver scalable, dependable data solutions. Your contributions will directly influence strategic decision-making and innovation across various business functions—from financial operations to real-time personalization.

Join our innovative team at Sunset as a Data Engineer. In this pivotal role, you will be responsible for designing, building, and maintaining robust data pipelines that facilitate data integration and analytics. Your expertise will help drive data-driven decision-making processes across the organization.We are looking for a passionate individual who thrives in a dynamic environment and is eager to tackle challenges in data management and analysis.

About Formation BioFormation Bio is a pioneering pharmaceutical company harnessing technology and AI to revolutionize drug development. As advancements in artificial intelligence and drug discovery yield more candidate drugs than the industry can feasibly progress through traditional clinical trials, Formation Bio recognizes that this bottleneck may hinder the availability of new medicines for patients. Established in 2016 as TrialSpark Inc., we have developed innovative technology platforms and processes designed to expedite every stage of drug development and clinical trials. By collaborating with pharmaceutical companies, research organizations, and biotechs, we in-license and develop drugs beyond clinical proof of concept, effectively bridging the gap between innovation and patient accessibility. Our endeavors are supported by prominent investors from both the pharma and tech industries, including a16z, Sequoia, Sanofi, Thrive Capital, Sam Altman, John Doerr, Spark Capital, SV Angel Growth, and others. Discover more about our vision and initiatives through the following resources:Our Vision for AI in PharmaOur Current Drug PortfolioOur Technology & PlatformAt Formation Bio, our core values drive our mission to transform the pharmaceutical landscape. Each team member contributes to our collective goal of accelerating the delivery of new treatments to patients. About the PositionWe are seeking a Senior Data Engineer to join our Scientific Data Intelligence (SDI) team at Formation Bio. In this role, you will play a critical part in converting Real World Data (RWD)—which includes electronic health records, claims, and other longitudinal patient data—into structured, analytics-ready datasets. You will collaborate closely with our Data Science team to model and transform data, conducting analyses that answer research questions, generate evidence, and support scientific decision-making across our drug portfolio.This position uniquely combines healthcare data engineering, real-world evidence analysis, and generative AI. A solid foundation in building reliable and scalable data pipelines is essential, alongside a hands-on approach to working directly with data—constructing cohorts and performing analyses to drive insights.

Join Lithic as a Data Engineer and play a crucial role in harnessing the power of data to drive insights and strategic decisions. In this dynamic position, you will collaborate with cross-functional teams to design, build, and maintain robust data pipelines and architectures. Your expertise in data engineering will contribute significantly to the optimization and performance of our data systems.

Role Overview Equinox is hiring a Senior Data Engineer for its New York office. This on-site role focuses on building and maintaining data pipelines that help shape decisions throughout the company. The position works closely with teams across the business to improve operations and support ongoing growth.

Transforming Financial MarketsAt Octaura, we recognize the inefficiencies and complexities of current workflows in the syndicated loan and CLO markets. Our mission is to revolutionize these markets, making them more efficient, transparent, and user-friendly.We at Octaura are pioneering a new approach to trading, combining cutting-edge technology, data analytics, and trading capabilities on a unified digital platform. This innovation is set to fundamentally change the market landscape and streamline processes for our clients.Inclusive Culture at OctauraWe believe in fostering a workplace where all team members can express their ideas and talents freely. Diversity is at the core of our values, and we strive to build a team that reflects the rich variety of perspectives in the world. Together, we engage, solve problems, and evolve, creating a collaborative, transparent, and innovative culture that is also fun!Internship Duration: June – August 2026Office Location: New York CityWork Schedule: In-office, Monday to Friday

At Genius Sports, we harness next-gen technology and the most accurate live data to usher in a new age of sports for fans globally, providing them with more immersive, interactive, and personalized experiences than ever before. Discover more at geniussports.com About the RoleWe are seeking talented Software Engineers eager to embrace continuous learning and take full ownership of their tools and products, adhering to best practices in Agile Software Development. We believe that a proficient engineer can transition between projects and acquire new skills effortlessly if driven by passion. Don’t let your current programming language or framework deter you from applying!Your technical expertise and pragmatic approach to problem-solving will be essential as you collaborate with a team prioritizing Agile delivery and ongoing improvement. You will adopt a data-driven mindset, comfortable with continuous experimentation and validation.Key ResponsibilitiesDesign, develop, and maintain data processing applications and services utilizing Spark, Java, and Kotlin.Construct and manage ETL pipelines and Data Processing architectures.Implement and oversee relational databases, ensuring data integrity and optimal performance.Enhance applications for peak speed and scalability.Produce clean, maintainable, and efficient code.Diagnose and rectify application issues.Keep abreast of emerging technologies and industry trends.QualificationsDemonstrated experience as a Software Engineer.Proficiency in at least one distributed columnar data store (e.g., Spark, Hive, Redshift, Presto, Snowflake).Proficiency in a compiled language (Java, Scala, Kotlin, Python).Strong comprehension of relational databases (MySQL, PostgreSQL).Familiarity with version control systems (e.g., Git).Excellent analytical skills and attention to detail.Able to work independently as well as part of a team.Exceptional communication skills.

Job Title: Senior Engineering Manager, Data EngineeringLocation: San Ramon, CA; New York, NYAre you an accomplished engineering leader with extensive expertise in distributed systems and event-driven architectures? Do you excel at building dynamic teams and establishing architectural standards that support a scalable platform? If you are eager to lay the groundwork for unified data access, streaming infrastructure, and durable state systems within a modern cloud-native environment, we invite you to join our cutting-edge team.In your role as Senior Engineering Manager for Data Engineering at Ridgeline, you will lead a team focused on enhancing our unified data access and event-driven interaction layer across the organization. This team is responsible for managing the interactions between services, durable state systems, streaming infrastructure, and federated query engines while ensuring reliability, performance, and observability. You will provide technical guidance to teams developing innovative, enterprise-grade solutions utilizing advanced technologies—including AI tools like GitHub Copilot and ChatGPT—to boost development speed, architectural precision, and operational excellence. Your contributions will significantly enhance the consistency, scalability, and long-term sustainability of our platform.At Ridgeline, our working philosophy is as important as our products. Ridgeliners act with ownership, prioritize growth over comfort, and communicate with openness. We believe in positive intent, favor action, and offer solutions rather than problems. We celebrate successes, learn from challenges, and thrive in a resilient, collaborative, high-performing culture. If this resonates with you, we would be thrilled to connect.You must be authorized to work in the United States without requiring employer sponsorship.

WPP Media seeks an Associate Manager, Media Data Engineering based in New York. This position leads a team of data engineers who develop and implement data solutions for media performance and campaign improvement. Role overview The Associate Manager guides data engineering projects that support client campaigns. Collaboration with colleagues from various departments is a key part of the job, ensuring that data-driven strategies advance effectively. What you will do Lead a team of data engineers focused on media data solutions Oversee the development and implementation of tools that enhance campaign performance Work closely with teams across the organization to support data-driven initiatives

Join Metropolis as a Senior Data Engineer, where you will play a pivotal role in transforming our data infrastructure. You will collaborate with a dynamic team to design, implement, and maintain scalable data pipelines that empower data-driven decision-making across the organization. Your expertise will be crucial in optimizing data processes and ensuring data quality.

Join Our Mission!At withco, we recognize that vibrant neighborhoods contribute significantly to the fabric of our communities. Unfortunately, these neighborhoods are increasingly losing their unique character as local businesses are replaced by corporate chains or vacant storefronts. We aim to reverse this trend by empowering small business owners and the communities that support them.We are committed to enhancing the small business landscape in America, providing them with the opportunity to thrive and contribute to their communities. Our company has successfully raised over $30M from esteemed investors, including Founders Fund, Canaan, NFX, BoxGroup, and notable figures like Ken Chenault and Kevin Durant.Are you ready to be a part of this transformative journey?Your Role:As a Data Engineer, your role is crucial in transitioning properties from single-landlord management to community-driven ownership. You will develop a cohesive system that integrates data across various platforms, empowering small business owners with data-driven insights and strategies to thrive in the real estate market.Key Responsibilities:Build Robust Systems: Create a strong data transformation infrastructure that supports customer journeys within our data-centric applications.Data Integration: Leverage first and third-party data to provide transparent real estate pricing and financial insights to empower small business owners.Innovate and Optimize: Continuously enhance data systems to ensure they meet the evolving needs of our users and stakeholders.

About UsAt DriveWealth, we are committed to revolutionizing the landscape of investing by ensuring that everyone has the opportunity to shape their financial destiny. Our belief is grounded in the idea that access to financial markets should transcend geographical, economic, and systemic barriers. As a global B2B financial technology innovator, we are on a mission to democratize financial independence worldwide through our state-of-the-art API-based platform. This empowers our partners to deliver seamless investing and trading experiences to clients across the globe, all through mobile devices. Our technology equips partners with a flexible, modern toolkit, facilitating traditional investment processes alongside innovative solutions such as fractional share ownership. DriveWealth has quickly evolved into a comprehensive platform enabling trading in US equities, mutual funds, ETFs, fixed incomes, and options.Now is an exceptional time to join a company that is set to redefine its category, supported by a team poised to seize this opportunity. Our culture intertwines the dynamism and flexibility of a fintech startup with the reliability, impact, and rigor of Wall Street. We foster an environment that champions creativity and experimentation while maintaining a focus on institutional-grade execution and regulatory compliance in every aspect of our operations. Be a part of our journey to shape the future of global investing!About the RoleThe Data & Analytics team is on a mission to create groundbreaking data products that yield actionable insights, enabling our partners to excel. Our focus is on curating and sustaining essential data sources and statistics that benefit both internal and external stakeholders.What You’ll DoAdvanced Engineering & CodingCore Development: Design and develop intricate dbt models and data transformation logic for high-volume financial datasets (trade transactions, order books).Python Automation: Craft production-grade Python scripts tailored for advanced data processing, anomaly detection, and custom orchestration logic beyond SQL capabilities.Performance Engineering: Take charge of the most challenging issues concerning query performance. Refactor legacy code and enhance incremental loading strategies to minimize costs and latency on a large scale.Technical Architecture & StandardsCI/CD & DevOps: Oversee the technical implementation of our data deployment reporting pipelines (Git, dbt Cloud), ensuring robust version control and seamless integration.

WHO ARE WE?Launch Potato is a thriving digital media enterprise that attracts over 30 million visitors monthly through popular brands including FinanceBuzz, All About Cookies, and OnlyInYourState.As The Discovery and Conversion Company, our goal is to connect consumers with the best brands through innovative, data-driven content and technology.With our headquarters located in South Florida and a remote-first team spread across over 15 countries, we foster a high-growth, high-performance culture driven by speed, ownership, and measurable impact.WHY JOIN US?At Launch Potato, you will have the opportunity to propel your career forward by taking ownership of outcomes, working swiftly, and making a significant impact within a global team of top performers.

Join our dynamic team at K Health Careers as a Senior Data Engineer where you will have the opportunity to shape the future of healthcare technology. You will be responsible for designing, building, and maintaining robust data pipelines that support our innovative healthcare solutions. Your expertise will help us harness the power of data to deliver outstanding patient care and improve health outcomes.

About Glean:Established in 2019, Glean is a pioneering AI-driven knowledge management platform that empowers organizations to swiftly find, organize, and share information across their teams. By seamlessly integrating with tools such as Google Drive, Slack, and Microsoft Teams, Glean guarantees that employees have access to the right knowledge at the right time, enhancing productivity and collaboration. Our advanced AI technology streamlines knowledge discovery, enabling teams to effectively leverage their collective intelligence.Glean was founded by CEO Arvind Jain, who has a profound understanding of the challenges employees face in locating and comprehending information at work. Witnessing firsthand how fragmented knowledge and an array of SaaS tools hindered productivity, he set out to create a superior AI-enhanced enterprise search platform that allows individuals to access the information they need quickly and intuitively. Today, Glean stands as a leading Work AI platform, merging enterprise-grade search capabilities, an AI assistant, and robust application and agent-building functionalities to fundamentally transform employee workflows. About the Role: As a key member of our Forward Deployed Engineering Team, you will collaborate directly with our clients to design transformative AI solutions that meet their most pressing business needs. Working alongside our Go-to-Market, Product, and Engineering teams, you will combine your technical expertise, understanding of enterprise AI systems, and client-facing skills to develop and implement production platforms that deliver measurable business outcomes. You will oversee the entire engagement process—ranging from initial discovery and technical planning to solution architecture, development, and production launch.

Join Our Team as a Data Engineer Co-opAt Megazone Cloud, we are seeking a passionate and innovative Data Engineer Co-op who thrives on building solutions and tackling real-world customer challenges. If you have a curious mind and a proactive attitude, we want to hear from you!This is your chance to dive into the world of data engineering, transitioning from academic theories to hands-on professional experience. We embrace a versatile skill set, ideal for those ready to engage in a dynamic environment and learn a modern tech stack through practical involvement.Your RoleHands-On Contribution: Become an integral member of our technical team, actively participating in the development and maintenance of our data pipelines that drive business and client solutions.Mentorship Opportunities: Work alongside experienced engineers under a mentorship model that aims to enhance your technical skills.Development Tasks: Write, refine, and optimize Python and SQL code for process automation and data workflow management.Project Engagement: Attend team meetings and contribute fresh insights during technical discussions and design sessions.Tooling Exposure: Gain practical experience with technologies such as AWS, Databricks, and Snowflake.Collaborative Work: Collaborate with data science and infrastructure teams to understand how high-growth startups scale their operations.Your Profile (Requirements)Education: Currently enrolled in a Bachelor's or Master's degree program in Computer Science, Data Science, or a related technical discipline.Timeline: Anticipated graduation date of December 2026 or later.Core Skills: Experience with Python and SQL through academic projects or coursework.Foundational Knowledge: Strong understanding of data structures, algorithms, and database concepts.Mindset: A proactive builder mentality with a strong desire for technical growth.Communication Skills: Ability to articulate technical concepts clearly and collaborate effectively within a team setting.Eligibility: Must be authorized to work in the United States.