Top Data Engineer Jobs in Boston, MA

As a Distinguished Data Engineer, you will lead the technical strategy for data pipelines, driving innovation and best engineering practices while mentoring internal teams and influencing stakeholders across the enterprise.

The Data Engineer II role involves optimizing data architecture, developing data pipelines, and supporting analytics initiatives for cross-functional teams.

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.

The Data Engineer II will design data models, build ETL pipelines, collaborate with teams, and ensure data flows are efficient and well-monitored. A strong understanding of SQL, Python, and cloud technology is essential.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

The Data Engineer will design and develop data platforms, manage ETL pipelines, optimize data models, and ensure data governance within an Agile team.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

The Principal Data Engineer will design and build scalable data pipelines and infrastructure for Customer Success, ensuring data quality and governance, collaborating with various teams to support analytics and reporting needs.

The Data Solutions Engineer at AcuityMD will drive business results by engaging with customers on data products, showcasing their value, and addressing data-related challenges during the sales process.

The Data Engineer role involves developing and maintaining data pipelines for forecasting in commercial real estate, ensuring data integrity and supporting analytics teams.

The Data Migration Engineer migrates customer data into SaaS products, ensuring data quality and business continuity while collaborating with teams and managing customer requirements.

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.

The Senior Data Engineer will build and scale data infrastructure, create data models, develop ingestion pipelines, and ensure data quality for drug development at Formation Bio.

The Data Engineer will manage, optimize, and expand data infrastructure for a clinical data registry, focusing on building automated data pipelines and supporting healthcare advancements through data insights.

The Junior Data Engineer will build, maintain, and monitor data pipelines for laboratory and R&D functions, ensuring data quality and governance while collaborating with various teams.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

Develop scalable data pipelines, deliver projects, and implement enhancements across data platforms using AWS and various tools, following agile methodologies.

The Data Engineer II will optimize, support, and deploy SQL Server environments in cloud settings, enhance data platforms, mentor junior engineers, and collaborate across teams.

Design and maintain data pipelines and cloud-based platforms for analytics and machine learning workloads, collaborating with AI/ML engineers and ensuring data quality and governance.

As a Data Engineer, you will operationalize data pipelines, support ML tasks, and provide expertise in data engineering and security architecture. You'll work with AI teams and present findings to diverse audiences.

The Data Engineer will design, develop, and deploy data pipelines and infrastructure, ensuring data quality and collaborating with cross-functional teams to support analytics efforts.

Lead the design and operation of Twilio's ML and data platform, architecting cloud-native pipelines and implementing MLOps best practices while mentoring engineers and collaborating across teams.

The Data Engineer III is responsible for designing and implementing BI solutions, managing data governance activities, and collaborating on data quality initiatives while ensuring stakeholder satisfaction.