Data Engineer Jobs in Cambridge, MA

Build and own R&D data infrastructure for lab and pilot hardware systems: acquire and validate time-series/sensor data, design schemas, create pipelines, analyses, and dashboards, and partner with scientists and engineers to support statistical/regression studies and QC/manufacturing insight.

Leads architecture and hands-on development of WEX’s semantic data platform and Data-as-a-Service capabilities. Builds reusable semantic business objects, metadata and ontology frameworks, knowledge graphs, APIs, governance, lineage, quality, and data contracts. Solves distributed-systems and scalability challenges while enabling AI and agentic applications to use trusted enterprise data. Partners across engineering, product, analytics, risk, finance, and business teams; influences technical standards, drives adoption, mentors engineers, and remains involved in implementation.

Leads enterprise data integration and engineering capabilities, including APIs, middleware, ELT pipelines, data governance, master data management, and cloud analytics platforms. Designs secure, compliant integrations across ERP, CRM, clinical, research, quality, finance, and commercial systems. Establishes architecture standards, data quality controls, monitoring, validation, and support processes while coordinating internal engineers, vendors, and business stakeholders. The role also provides technical leadership for trusted datasets, regulatory compliance, operational reliability, and commercialization readiness.

Leads data engineering for Payment Operations monitoring transformation. Designs and maintains Snowflake pipelines, tables, stored procedures, monitoring scenarios, KPI infrastructure, and data quality controls. Serves as the Snowflake subject matter expert, documents architecture and operational processes, guides technical partners, and translates business needs into scalable data solutions. The role requires production data engineering experience, advanced SQL, Snowflake expertise, job scheduling, pipeline operations, and stakeholder communication.

Join an elite engineering team to develop massive data processing systems using Core Java and AWS, focusing on Big Data and performance optimization.

Partner with portfolio-company leaders to translate business problems into quantitative frameworks, build predictive models and analyses, and drive strategy and execution. Lead AI assessments, identify growth opportunities, present recommendations to executives, and implement measurable data-driven initiatives across finance, pricing, operations, and marketing.

Build and own Snowflake data models and dbt pipelines for a Customer Data Platform supporting marketing segmentation and customer journeys. Integrate complex source systems, manage data architecture and governance, conduct data discovery, and translate business rules into scalable solutions. Collaborate with engineering, analytics, product, and business stakeholders; lead technical workshops; mentor junior engineers; and implement automated data quality testing, CI/CD workflows, and AI-augmented engineering practices.

The Senior Data Engineer will design, implement, and maintain data pipelines, improve data quality, and support investment data management, collaborating within a team to enhance decision-making and reporting capabilities.

The Software Engineer will manage data collection for model training, operate cloud infrastructure for ingestion pipelines, and collaborate with scientists on data strategies.

Design, build, and maintain integrations and reporting for the Ellucian Colleague ecosystem. Develop ETL pipelines, APIs/ web services, and data warehouse objects; support Colleague SaaS migration, troubleshoot integrations, ensure compliance reporting, and collaborate with functional stakeholders.

The Staff Engineer will lead technical direction on data infrastructure, focusing on ingestion frameworks, storage architecture, and orchestration to support scientific workflows. Responsibilities include mentoring, ensuring reliability, and collaborating with cross-functional teams to establish coding standards and data integrity.

Lead and scale in-house data operations for robotics R&D: build and maintain data tooling and sensor hardware, run collection and annotation, manage interns/contractors, write SOPs and QA, and support demos and live troubleshooting.

Design, build, and scale data-driven solutions and high-volume ETL/ELT pipelines for equity research. Develop cloud-based (AWS) data architectures, ensure data modeling, governance, performance tuning, and collaborate with data scientists and business partners in Agile environments.

Build and maintain full-stack internal applications: backend services/APIs, frontend UIs (React), and workflow automation. Own features end-to-end, drive architecture discussions, ensure testability, maintainability, and quality through code reviews.

Senior technical leader embedded in a Scrum team to design, build, and maintain scalable batch and real-time data pipelines and services; lead data modeling and warehousing; enforce data engineering best practices, quality frameworks, SLAs/SLOs, and observability; translate product and analytics needs into durable data platforms; mentor engineers and influence cross-team technical direction.

Build and maintain Terraform infrastructure across AWS and Azure, create GitHub Actions CI/CD workflows, script automation (Python/Bash), manage releases across SDLC environments, collaborate with security to harden cloud services, and support AI development teams with provisioning, networking, disaster recovery, and operational tooling. Hybrid role with occasional client travel.

Own end-to-end clinical data ingest and result delivery for a radiology AI product: on‑prem C‑STORE ingest, cloud DICOMweb STOW-RS handling, tenancy/privacy at the boundary, outbound HL7/JSON delivery, per-study tracing and health checks, CI for gateway repos, and precise security-review documentation. Troubleshoot protocol, networking, and memory/streaming issues using packet captures and profiling.

The Principal Software Engineer will design and build APIs, optimize database architecture, enhance performance, and collaborate on cloud infrastructure for scientific applications.

The Automation Engineer designs, develops, and maintains data pipelines and API integrations for scientific workflows while ensuring compliance with industry standards. The role involves collaboration with scientists and the use of various technologies to optimize data processes.

The Senior Software Engineer will design and implement software solutions for investment processes, engage with leaders, automate development, and support production escalations.

Design, configure, and tune DLP controls across email, print, web, removable media and data-at-rest. Analyze DLP events, implement preventative controls, create dashboards and reports, integrate continuous security event ingestion with Splunk, and perform insider risk data mapping and remediation across cloud and network storage.

Design and build backend and data systems for autonomous labs: scheduling (Temporal workflows), digital-twin modeling, data pipelines (Flyte), S3 lakehouse and PostgreSQL modeling, capacity planning services, and operate services on AWS EKS with Docker, Terraform, and CI/CD for scale and reliability.

Build and maintain governed, activation-ready marketing data products in Snowflake. Design canonical marketing data models, event-streaming, identity resolution, quality checks, and reverse-ETL activation for marketing, CRM, paid media and AI use-cases. Enable predictive scoring, attribution, and AI-ready context layers while partnering with cross-functional stakeholders.

Work on client onboarding/migration as a Data Analyst/Database Developer: gather business requirements, perform data analysis, mapping, profiling and query optimization. Coordinate with US/UK/India teams and vendors, ensure data quality via control scripts, identify source systems and eliminate redundancies. Assist BUAT, train new resources, and support extracts, views, and client reports. Financial services domain expertise required.

As a Senior Software Engineer, you will design APIs, manage database architecture, optimize performance, and collaborate with cross-functional teams to support the Data Platform Team's backend solutions.