Data Engineer Jobs in Massachusetts, United States

Bristol Myers Squibb's Translational Data Products team builds and maintains governed, AI-ready data products from R&D sources such as biomarker, biospecimen, clinical trial, and omics data for translational scientists and analysts. As a Senior Data Engineer, you will own data products end to end—documenting data locations, unlocking source systems with data owners, performing entity mapping, modeling, and validation, and ensuring the products answer high-value scientific questions.

Data Engineering Team at Foundation Medicine builds and maintains the FoundationCORE data platform that enables doctors to match patients to advanced treatment options. The Senior Software Engineer designs, develops, and supports scalable batch and streaming pipelines, implements data scientist algorithms, and mentors junior engineers in an Agile, hybrid environment.

Analog Devices, Inc. seeks a Principal Engineer, Data Engineering to develop strategies and own end-to-end data architecture for scalable, resilient systems that enable modern AI and analytics solutions. The role involves defining engineering best practices, driving data quality and governance frameworks, providing technical leadership and mentorship to data teams, and collaborating with AI/ML and software engineers on model training and deployment.

Rockstar Games Online Services builds the technology foundation powering our games. The Data Engineering team builds a cutting‑edge analytics platform, designing high‑throughput ingestion and real‑time transformation pipelines.

Commercial and Investment Banking - Security Services Data Lake team at JPMorgan Chase builds secure, scalable data platforms and AI/ML services for the firm. The Software Engineer III designs, deploys, and operates agentic AI/ML solutions, builds batch and streaming data pipelines, and automates CI/CD, observability, and model lifecycle management.

The Senior Investment Data Engineer supports the Investment Data Management Office in unifying investment data to enhance decision-making and risk management. Based in Boston, this hybrid role involves building scalable dbt models in Snowflake and maintaining data pipelines for analytics.

Investment Analytics Application Development team at State Street Investment Management builds scalable, high‑quality solutions for portfolio management, research, risk, and reporting. The Software Engineering Lead designs, builds, and optimizes data pipelines on Databricks (AWS), partners with portfolio managers and researchers, and owns end‑to‑end solution delivery.

Insider Risk Management – Engineering team at AbbVie focuses on protecting intellectual property and preventing data loss across the enterprise. The Senior Data Security Engineer creates and configures DLP content, implements preventative controls for email, print, web and removable media, analyzes DLP events, and builds dashboards and metrics to monitor data loss.

At Plymouth Rock, a fast-growing analytics-driven insurer, the Data Engineer on the Enterprise Advanced Analytics team architects and manages data pipelines connecting internal systems, third-party sources, and advanced analytical platforms to empower data scientists. Day-to-day work includes designing, building, and optimizing pipelines and ML workflows, enforcing data governance and security, partnering with IT on the AWS data lake transition, and applying Python and SageMaker for advanced ana

Development - Software Development team builds scalable data platforms for investment decision-making. The Senior Data Engineer designs and implements high‑quality data pipelines, collaborates on architecture, and mentors engineers across the organization.

Data Engineering team at DraftKings builds the data capabilities powering regulatory reporting, financial operations, and AI-driven experiences. The Senior Data Engineer designs and maintains scalable cloud data pipelines, modern data models, and ensures data quality and governance while collaborating with engineering, compliance, and analytics stakeholders.

Digital Envoy, Inc. is hiring a Senior Data Engineer to support the development and maintenance of sustainable data integration pipelines for its IP geolocation and VPN Intelligence products, including Matchbook and LocID. Day-to-day work involves designing and building customer-facing data products with PySpark on AWS EMR, orchestrating Airflow workflows, delivering data across AWS S3, Snowflake, and Google Cloud Storage, and developing Python/Spark/PostGIS tooling for spatial data.

RA Capital’s Data Solutions team builds scalable data platforms that power investment decisions in biomedical and climate tech. The Data Solution Engineer designs end‑to‑end analytics pipelines, dashboards, and AI‑enabled workflows to turn complex datasets into actionable insights for investors and operations.

Data Engineering team at SS&C Technologies builds scalable real-time data platforms and event-driven streaming solutions for financial and healthcare clients. The Principal Data Engineer leads design and development of high-performance streaming pipelines using Apache Kafka, Flink, Java, Spring Boot, and AWS, while also creating microservices, cloud-native infrastructure, and observability frameworks.

Senior Data Engineer at Wellington Management responsible for designing, building, and scaling data-driven solutions for Science Analysts in the Equity space. Works within the Science Research Technology team to develop and maintain ETL/ELT pipelines, data workflows, and cloud-based data platforms.

Interra Health Data Platform builds a unified, multi‑cloud data platform that powers eligibility, coverage, and pricing insights for healthcare providers. The Senior Data Engineer designs scalable, secure data solutions, defines engineering standards, and builds ELT pipelines using AWS, Azure, Snowflake, dbt, and Python while ensuring data governance and quality.

Flagship Pioneering's Scientific Cloud organization seeks a Lead Data Engineer to modernize and professionalize data infrastructure, platforms, and pipelines for its portfolio of emerging biotechnology companies. You will lead complex data engineering initiatives, build and optimize data pipelines and storage solutions, establish engineering standards, and collaborate across I&O, Lab IT, PI Tech, and the internal scientific community.

Data Engineer role at Contact Government Services, LLC. Build end-to-end data pipelines, manage large data sets, and ensure reliable extraction and processing. Actively participate in Agile/Scrum teams, apply lean-agile principles, and automate continuous ingestion.

The Data Engineer, Solutions & Data role at DLA Piper designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics, reporting, and downstream solutions. Day-to-day work includes consolidating data from multiple sources into a central SQL-based integration point, performing field mapping and transformations, and building pipelines using Azure data technologies such as Azure Data Factory, Azure Databricks, Azure Eve

Matterworks Data Engineering team builds the data pipelines that power large spectral models for biochemical discovery. The role designs, implements, and monitors end‑to‑end pipelines, enriches raw mass‑spec data into reliable datasets, and ensures quality checks for both AI training and product use.