Senior Data Engineer at PA Consulting | Boston

Join our dynamic team at PA Consulting as a Senior Data Engineer, where you will leverage your expertise in data engineering to drive impactful projects. You will have the opportunity to work with cutting-edge technologies and collaborate with diverse teams to deliver innovative solutions that meet our clients’ data needs.As a Senior Data Engineer, you will …

At Veeva Systems, we are dedicated to revolutionizing the life sciences sector by accelerating the delivery of therapies to patients. As a leading force in the SaaS industry, we achieved over $2 billion in revenue last fiscal year, showcasing our impressive growth trajectory.Our core values center around integrity, customer success, employee success, and agility. We are proud to have become a public benefit corporation (PBC) in 2021, ensuring that we balance the interests of our customers, employees, society, and investors.As a Work Anywhere company, we offer flexibility in your work environment, allowing you to thrive whether at home or in the office.Be a part of our mission in transforming the life sciences industry and making a positive difference for our customers, employees, and communities.The RoleAs a Senior Health Data Analyst on our Veeva Compass Product Team, you will be instrumental in enhancing the foundational data structures and processes that underpin Payer data development. Your contributions will encompass data collection, normalization, and analysis, all aimed at creating robust Payer reference data.You will ensure the highest standards of data quality, consistency, and governance within the payer domain, working collaboratively with Product Managers, Engineers, QA professionals, Terminologists, and fellow Data Analysts to deliver exceptional Payer data as part of our Compass suite of products.This position is ideal for individuals who possess a comprehensive understanding of the US insurance landscape and have a genuine passion for tackling intricate data challenges. Your keen attention to detail and commitment to quality will be vital as you bridge the gap between payer data intricacies and actionable product insights.

Join CGS as a Senior Data Specialist II, where your expertise in litigation discovery processes will be pivotal in supporting the EDRM workflow for a significant Federal agency initiative. At CGS, we unite driven, highly skilled, and innovative professionals to address the government's most pressing challenges using advanced technology. We are looking for individuals who are passionate about contributing to government innovation, thrive in collaborative environments, and possess the foresight to anticipate others' needs. Our workplace culture fosters support and encourages professional development through a variety of learning opportunities. Key Responsibilities:- Execute file manipulation, data loading, conversion services, database indexing, and quality assurance checks for data loads.- Design, assess, and refine methods for file manipulation compatible with COTS products and litigation support applications.- Ensure that incoming productions adhere to the relevant ESI specifications.- Conduct advanced tasks related to data export from contractor and client databases, including data identification for export, confirming redactions and other annotations, ensuring compliance with ESI specifications, and performing quality checks on exported data.- Assist client attorneys, investigators, and paralegals by managing incoming documents, processing subpoena returns, creating and maintaining document review databases, producing documents for opposing parties in litigation, and tracking document production.

Join Veeva Systems as a Data Scientist specializing in Business Consulting. In this role, you will leverage your analytical skills and expertise in data science to provide actionable insights that drive business strategies and enhance client outcomes. You will work collaboratively with cross-functional teams to design and implement data-driven solutions that address complex business challenges.

Join Our Team as a Driver/Data CollectorAre you looking for an exciting opportunity to contribute to innovative projects? At Service Measure, we specialize in field data collection, providing critical insights where automation falls short. Our team, established in 2013 in New York, excels in gathering essential data through feature counting, photography, videography, and audio recordings. With teams across Europe and North America, we're ready to tackle new challenges.Project Objective:In this role, you will play a pivotal part in testing new features of our online mapping application, assessing its functionality in both day and night modes. You will navigate urban areas with your co-pilot, meticulously documenting app performance and usability in a spreadsheet using a tablet or laptop. Your observations will be crucial for our client's improvements.We offer a comprehensive one-day remote training session, and all project-related expenses—including vehicle rental, fuel, parking, and tolls—will be covered by the company. This project will span 3-4 weeks, operating Monday to Friday, with a commitment of 7-8 hours per day from 9 AM to 5 PM. You will be assigned approximately five routes daily.

Role overview Pearl Health is looking for a Staff Data Scientist to focus on Clinical Performance. This role is open to candidates in San Francisco, New York City, Boston, or remote locations. What you will do Analyze complex healthcare datasets in partnership with teams across the company Develop predictive models aimed at supporting better healthcare delivery and outcomes Use data-driven methods to enhance clinical performance Contribute analytical insights that help guide clinical initiatives Requirements Experience in data science, with a preference for backgrounds working with healthcare data Ability to build models and extract insights from large, complex datasets Strong collaboration skills with both technical and non-technical colleagues Interest in improving healthcare through data-driven approaches

At Veeva Systems, we are driven by our mission to revolutionize the life sciences industry, helping companies expedite the delivery of therapies to patients. As one of the fastest-growing SaaS companies, we recently surpassed $2 billion in revenue and are poised for further growth.Our core values at Veeva include Doing the Right Thing, ensuring Customer Success, prioritizing Employee Success, and maintaining Speed. We made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the interests of all stakeholders: customers, employees, our society, and investors.As a Work Anywhere company, we offer the flexibility for you to work from home or the office, empowering you to flourish in your preferred setting.Join us in transforming the life sciences industry and making a significant impact on our customers, employees, and the communities we serve.

About Dataiku Dataiku provides a platform for building, deploying, and managing AI and analytics at scale. The company helps organizations design and operate analytics, machine learning, and AI agents with transparency and control. Dataiku connects the enterprise AI stack, supporting centralized governance and multi-vendor environments. Learn more on the Dataiku blog, LinkedIn, X, and YouTube. Role Overview Dataiku is hiring a Data Engineer II for the Enterprise Data and Analytics (EDA) team. This role focuses on delivering reliable data to drive analytics, AI, and insights for teams across the company. The Data Engineer II will play a central part in supporting the Data Platform, which serves centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users. What You Will Do Contribute technical expertise to the Data Platform, working with Snowflake, Dataiku, and GitHub. Develop solutions using Python and SQL, with DataOps processes integrated into GitHub Actions and Dataiku. Collaborate with engineers from other teams to deliver solutions across various technical domains. Promote engineering best practices within the EDA team and the broader Analytics Community. Support analytics and AI initiatives for a wide range of stakeholders. What We Look For Experience with Snowflake, Dataiku, GitHub, Python, and SQL. Understanding of the software development lifecycle and DataOps methodologies. Strong collaboration skills and the ability to work across teams. Clear verbal and written communication. Analytical mindset and curiosity. Locations This position is open to candidates in the Netherlands (remote), Spain (remote), United Kingdom (remote), and the following US cities: Atlanta, Boston, Charlotte, Chicago, Cincinnati, Miami, Milwaukee, Minneapolis, Philadelphia, Raleigh, St. Louis, and Tampa.

Join our dynamic team as a Cloud and Big Data Consultant where you will leverage your expertise in cloud architecture and big data technologies to deliver innovative solutions for our clients. You will work closely with cross-functional teams to design, implement, and optimize cloud-based data solutions that drive business success.

The Data Center Operations Manager for Managed Services is pivotal in overseeing the daily operations and management of our U.S.-based data center environments, which support both internal systems and clients of InterSystems. This role is crucial for ensuring high availability, operational excellence, and adherence to compliance standards across third-party facilities while maintaining close collaboration with our internal infrastructure, platform, and application teams.The manager will lead the operations staff and vendor teams, manage relationships with colocation providers, and support cutting-edge infrastructure platforms, including software-defined storage, converged infrastructure, and containerized environments.Key ResponsibilitiesData Center OperationsOversee daily operations at multiple colocation data center facilities, acting as the primary contact for operational issues.Coordinate remote assistance, scheduled maintenance, and incident responses with colocation providers.Ensure the reliability and availability of power, cooling, space, network connectivity, and physical security.Lead incident management efforts and conduct root cause analyses (RCA) involving both internal teams and external providers.Maintain and enforce standard operating procedures (SOPs), runbooks, access protocols, and escalation paths.Infrastructure & Platform SupportSupport enterprise-level infrastructure platforms, including:Dell PowerFlex and other software-defined storage systems.Nutanix and VMware converged infrastructure.Kubernetes platforms (e.g., Spectro Cloud-managed environments).Collaborate with Systems, Platform, and Cloud teams to facilitate hardware lifecycle events, upgrades, and capacity expansions.Ensure operational readiness for containerized and virtualized workloads deployed in colocation facilities.Team LeadershipLead and develop the data center operations staff and contractors supporting colocation environments.Define staffing models, on-call rotations, and escalation coverage.Encourage operational discipline, enhance documentation quality, and promote continuous improvement.Vendor & Provider ManagementManage relationships with colocation providers, hardware vendors, network carriers, and service partners.Oversee service-level agreements (SLAs), maintenance coordination, access controls, and service delivery.Assist in contract reviews and renewals.

As a Retail Data Inventory Specialist, you will play a crucial role in maintaining the accuracy and integrity of inventory data. Your responsibilities will include analyzing inventory levels, identifying discrepancies, and implementing solutions to optimize stock management. You will collaborate with various teams to ensure seamless operations and contribute to enhancing the overall customer experience.

At Klaviyo, we celebrate the diverse backgrounds, experiences, and perspectives our team members—whom we affectionately refer to as Klaviyos—bring to our innovative workplace. We believe that everyone deserves an equitable opportunity for success and value the unique insights each individual contributes beyond conventional job qualifications. If you feel you are close to the mark but may not meet every requirement, we encourage you to apply. Curious about life at Klaviyo? Visit klaviyo.com/careers to explore how we empower creators to take charge of their own destinies.At Klaviyo, we thrive on overcoming complex engineering challenges and seek engineers who have specialized skills yet are passionate about building, owning, and scaling features from inception to completion, while overcoming any hurdles or technical challenges that arise. We inspire one another to step outside our comfort zones, embrace new technologies, and strive to make each day an improvement over the last.Team Overview:Klaviyo operates a cutting-edge real-time data analytics platform primarily developed in Python, designed to handle extensive scale and hosted on Amazon Web Services (AWS). The Data Automation team is responsible for creating tools and establishing best practices that empower our Data Platform, fueling core Klaviyo functionalities and generating insightful, data-driven results.As a foundational member of the Data Automation team, you will define both the technical and organizational vision for the team. Your leadership will guide the design and development of systems critical to our analytics infrastructure.Team Tech Stack:AWSTerraformPythonKubernetesClickhouseDynamoDBMySQLKafkaSparkFlinkAirflowHow You’ll Make an Impact:Lead and nurture a team of 7+ engineers to realize your data automation vision and roadmap.Coach engineers, oversee and review technical documentation, and articulate a phased approach to project execution.

At Toast, we are dedicated to empowering restaurants and local businesses to thrive in the digital landscape. Our innovative technology solutions enable business owners to streamline operations, boost sales, engage customers, and foster employee satisfaction. About Toast Toast is on a mission to revolutionize the restaurant industry by providing a comprehensive platform that allows businesses to adapt, take control, and flourish. Our Customer Success (CS) organization is crucial in maximizing the value our customers derive from our offerings. We are actively enhancing our data capabilities to usher in a new era of proactive, data-driven customer engagement. The CS Data & Analytics team is at the forefront of this transformation, developing a robust data infrastructure that enables proactive, data-informed engagement for approximately 150,000 restaurant locations. Role Overview As a Principal Data Engineer, you will be a key player in a newly established data engineering function within our Customer Success team. You will have a direct impact on shaping the architecture, tools, domain models, and team culture from the outset. This is a unique opportunity to build innovative solutions from the ground up, with visibility to VP-level and senior leadership within Customer Success. In this role, you will design, build, and scale the data platforms and pipelines that drive insights across our Customer Success organization. Reporting to the Director of Data Infrastructure & Engineering, you will collaborate closely with Data Infrastructure, Analytics, Engineering, and Product teams to ensure the availability of high-quality, reliable data that is both accessible and actionable. This hands-on engineering position focuses on delivering production-grade, scalable, and dependable data systems that bolster analytics, reporting, and operational decision-making across Customer Success. A Day in the Life (Responsibilities) Design, construct, and maintain scalable, production-ready data pipelines (batch and real-time) tailored for Customer Success using cutting-edge data technologies. Develop and refine data models and schemas that facilitate reporting, analytics, and machine learning initiatives across Customer Success functions. Collaborate with CS operations leaders in areas such as care, workforce, and CX to translate business needs into pipeline and infrastructure priorities, ensuring that data projects are directly linked to customer retention and operational success. Ensure high standards of data quality, observability, lineage, and governance are integrated into every data workflow. Implement best practices for cost-effective, high-performance cloud-based data infrastructure. Contribute to...

Role Overview redsox is hiring a Data Engineer in Boston, MA. This role focuses on designing and building data solutions that support decision-making throughout the company. The Data Engineer will work closely with teams from different departments to understand their needs and deliver reliable, scalable data pipelines. What You Will Do Design and implement data pipelines to support analytics and reporting Collaborate with cross-functional teams to gather data requirements Build solutions that help the organization make informed decisions Location This role is based in Boston, MA, United States.

Role Overview acuityMD is hiring a Senior Data Product Manager. This position focuses on shaping data-driven product strategies that support business growth. The role works closely with teams across the company to design, build, and launch new data solutions that strengthen our product lineup.

Join Matillion as an Enterprise Account Executive in Boston and be a key player in our mission to help organizations transform their data into actionable insights. You will engage with enterprise-level clients, providing them with innovative solutions that drive business value and enhance their data integration processes. Your expertise will be pivotal in expanding our market presence and establishing long-term relationships.

Join us at usm2 as a skilled .Net Developer. You will play a pivotal role in creating robust software solutions that drive our innovative projects forward. Collaborate with a talented team, utilizing your expertise to develop, test, and maintain high-quality applications.

Data EngineerLocation: Boston, MA (Hybrid — 2 days per week in office)About UsClasp is a dynamic, venture-backed startup dedicated to reshaping access to education and career opportunities. We are on a mission to transform how employers attract and retain vital talent while addressing the student debt crisis head-on. Our innovative platform connects employers, educational institutions, and diverse talent, utilizing accessible education financing as a core connection point. More than just a fintech company, we aim to be a catalyst for economic mobility.As a proud member of the Forbes Fintech 50 and a portfolio company of the Society of Human Resource Management (SHRM), Clasp has been recognized as the 'Startup of the Year' by StartUp Boston. Our commitment to social impact and innovation drives us to reshape the workforce's future, one opportunity at a time. Join us in empowering learners and unlocking fulfilling careers that foster positive change within their communities and beyond.The Role – Data EngineerWe are looking for a skilled Data Engineer to develop and manage robust data pipelines that will ingest and provide access to critical data concerning hundreds of millions of dollars in student loans, education enrollment statuses, and employment metrics. The ideal candidate will possess strong programming skills in Python and a fervor for high-performance data pipelines and the analytics they enable.At Clasp, we cultivate a DevOps culture where engineers have complete ownership of their code and the infrastructure it operates on. We seek candidates who are eager to make significant contributions to the architecture that supports our product roadmap and the Stride business, while also pursuing substantial personal growth alongside us!Our modern Data Technology Stack includes Airflow, dbt, PostgreSQL, Superset, BigQuery, Python, and SQL.Key ResponsibilitiesData Pipeline Development & ReliabilityDesign and maintain scalable data pipelines for ingesting and transforming financial, educational, and employment data.Ensure data reliability, timeliness, and accessibility for internal teams and external partners.Proactively identify and resolve data quality issues, including upstream dependencies.

At Shift Technology, we are at the forefront of revolutionizing the insurance landscape through our cutting-edge AI platform. Our unique blend of generative, agentic, and predictive AI empowers insurers to enhance underwriting, claims processing, fraud detection, and risk management, resulting in remarkable operational efficiency and superior customer satisfaction. Trusted by the world's foremost insurance providers, Shift Technology delivers scalable AI solutions that yield tangible business outcomes.We pride ourselves on a culture that thrives on innovation, trust, and a commitment to transforming the insurance sector via our SaaS offerings. With a diverse team representing over 50 nationalities, we are united in our mission to shape the future of insurance.About the TeamJoin our expansive Data Science team, comprising over 200 skilled Data Scientists globally.Our Data Scientists engage in comprehensive lifecycle roles, gaining profound expertise in data science, engineering, programming, business acumen, and client relations.At Shift, your contributions are significant; while we are a globally renowned leader, our size ensures that each team member's achievements are impactful.As part of the Data Science team, collaborate closely with technical specialists to deploy enterprise-level solutions for our clients.Key ResponsibilitiesContribute actively to the US Health roadmap and engage with a variety of data types, including structured claims data, free text, documents, and images.Develop and optimize data pipelines (structured, text, documents, images) for large language models (LLMs) and multi-modal models.Design, create, and implement LLM-based solutions (RAG, embeddings, instruction tuning) for claims management, document comprehension, and related applications.Explore cutting-edge agentic AI technologies (Langchain/Langgraph, OpenAI Agent SDK, MCP, A2A), and develop minimum viable products for next-generation payment integrity solutions.Create bespoke tools allowing the agent to query internal databases, access external weather APIs, or compute impact forces using telemetry data.Establish robust evaluation frameworks (LLM-as-a-judge) to ensure unbiased, legally sound, and transparent agent decision-making.

PA Consulting is looking for a Data Engineer to join the Corporate department in Boston. This role centers on designing and building data solutions that align with business objectives. Key responsibilities Collaborate with teams across the company to identify and understand data requirements Develop and maintain data pipelines to ensure reliable data flow Support the implementation of data solutions that contribute to business outcomes