Top Data Engineer Jobs in Boston, MA

The Senior Staff Data Engineer will design scalable data systems, lead technical direction, optimize data platforms, and ensure data quality and performance for Observability & Insights.

The Senior Data Engineer will build and maintain data pipelines, optimize data processing, and ensure data privacy and quality within the healthcare tech space.

The Sr. Snowflake Data Engineer will design and optimize data pipelines, support mission-critical applications, and ensure data integrity and performance on cloud infrastructure.

The Sr. Databricks Data Engineer will design, develop, and optimize data pipelines using Databricks, while ensuring scalable solutions and addressing data issues. Responsibilities include collaborating with teams, conducting impact analysis, and maintaining software lifecycle processes.

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

The Data Engineer will design and optimize ETL jobs using PySpark, build data pipelines, and collaborate on enterprise data systems.

The Data Engineer will assist in testing and deploying applications, implementing data quality and warehouse pipelines, and collaborating with various teams.

As a Data Engineer, you will build and maintain data ingestion pipelines, develop data transformations, and migrate SQL Server processes to Azure-native solutions, supporting marketing campaigns and analytics teams.

The role involves designing and optimizing data pipelines in Snowflake, developing ETL workflows, collaborating on data integration, ensuring data security, and performance monitoring.

We are seeking a Data Engineer to design, build and optimize scalable data pipelines. Strong experience in Databricks, PySpark, and data warehouse concepts is required.

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.

As a Lead Data Engineer, you will collaborate with Agile teams, develop technical solutions, and enhance cloud-based data warehousing to empower financial services for customers.

The role involves building and maintaining financial data pipelines in Databricks, bridging Snowflake, and ensuring data accuracy for finance reporting.

The Data Engineer will design and implement data pipelines, optimize performance, ensure data governance, and collaborate with data scientists to create integrated data solutions.

The Principal Data Engineer designs and maintains scalable data systems, evaluates new technologies, mentors junior engineers, and leads data engineering initiatives in agile environments.

Develop custom connectors on Airbyte for data ingestion from various platforms, ensuring accurate data integration and transformation. Collaborate with stakeholders and perform testing for reliability.

The Junior Data Engineer will support the smooth operation of data pipelines, focusing on problem-solving, debugging, and ensuring data quality while working with Azure Cloud.

As a Junior Data Engineer, you'll maintain cloud infrastructure, manage ETL processes, and enhance systems for improved performance and scalability.

The Snowflake Data Engineer and Product Owner will manage the Snowflake data analytics project, collaborating with stakeholders, leading Agile practices, and ensuring quality deliverables through effective team coordination and backlog management.

The Snowflake Data Engineer will work on data cleansing and harmonization, moving from legacy systems to SAP S4, focusing on ETL/ELT development and view creation.

This role involves designing, building, and maintaining data pipelines on Snowflake. Responsibilities include ensuring data quality and collaborating with stakeholders to deliver solutions.

The AWS Data Engineer will work on a data cleansing and harmonization project, focusing on AWS ETL design and development using various AWS services.

The Snowflake Data Engineer will design, build, and maintain data pipelines on Snowflake, optimizing performance and ensuring data quality while collaborating with stakeholders.

The Data Engineer builds and maintains data pipelines and platforms, collaborating with Data Scientists and Analysts to optimize data management and integration for insights.

Responsible for designing, developing, testing, and optimizing data integration solutions, focusing on financial month-end closure and ongoing production support.