Top Hybrid Data Engineering Jobs in Boston, MA

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

As a Senior Data Engineer, you'll design scalable data models, build automated ETL pipelines, and mentor junior engineers while collaborating across teams.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

The Analyst IV is responsible for delivering scalable, secure POS and Payments technology solutions, leading design and integration, and ensuring system performance along with troubleshooting support.

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.

Oversee client proposals and projects, leveraging coding skills for data processes, mentoring teams, and identifying growth opportunities in life sciences.

Owner of the semantic layer: build and maintain core data models and metrics, run dbt orchestration with CI/CD and testing, implement reverse ETL pipelines, and enforce PHI access controls to keep data HIPAA-compliant.

Lead the design and evolution of the enterprise data platform, establish standards, mentor teams, and collaborate across departments to deliver high-quality data products.

The Staff Analytics Engineer will architect and manage CodeRabbit's BigQuery warehouse, develop revenue models, and ensure data governance while collaborating with various teams to enhance business intelligence.

The PostgreSQL Database Developer will manage database environments, support migration from Oracle to PostgreSQL, and ensure database performance and security.