Top Analytics Engineer Jobs in Boston, MA

As a Data Analytics Engineer at dv01, you'll manage data pipelines, write production-ready code, and collaborate with analysts and clients, leveraging modern technologies to optimize data for the financial market.

Develop and support tools, automation, analytics, and live ops for games, emphasizing collaboration and best practices within teams.

As a Software Engineer, you'll develop and enhance core analytics libraries using C++ and Python, collaborate with quants and traders, and ensure high-quality software delivery.

The role involves creating dashboards and visual frameworks, building data pipelines, performing analyses to uncover insights, and communicating findings to stakeholders.

Lead the development of AI/ML product analytics infrastructure to improve decision making and product performance monitoring in healthcare settings.

As the first Analytics Engineer, you will build the analytics infrastructure for the GTM function, design data models, create dashboards, and partner with stakeholders for insights.

Lead the design and development of web applications, data pipelines, and AI systems, integrating data, mentoring engineers, and ensuring high-quality software delivery.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.

The Senior Analytics Engineer will create scalable data systems, ensure data quality, support cross-functional teams, and communicate insights effectively.

As a Senior Software Engineer at AdQuick, you will develop data-intensive analytics systems, manage data pipelines, and create visualizations to drive insights for OOH advertising.

As a Senior Software Engineer on the Graph Analytics team, you'll design and implement algorithms for analyzing cryptocurrency transaction networks and collaborate with data scientists and engineers to enhance risk models.

The Senior Data Engineer will design and implement scalable graph systems for analyzing cryptocurrency transactions, collaborating closely with cross-functional teams to build algorithms and integrating diverse data inputs while communicating effectively with both technical and non-technical stakeholders.

The Senior Analytics Engineer will create organized data sets, build analytics pipelines, and collaborate with teams to model and document data for analysis and business decisions.

The Senior Analytics Engineer will create organized data sets, build analytics pipelines, and collaborate with teams to enhance data clarity and utility, driving business decisions.

The Analytics Engineer will design, implement, and support analytics and business intelligence solutions, collaborating with data teams and stakeholders.

Lead the design, development, and delivery of Genesys App Foundry applications, collaborate across teams to enhance solutions, and ensure compliance with data regulations.

The Senior Analytics Engineer will build and maintain data integrations, automate workflows, ensure data accuracy, and support school operations in K-12 education.

As a Data Engineer at Thatch, you'll develop data infrastructure, build ELT pipelines, and collaborate across teams to provide analytics insights.

As a Senior Analytics Engineer, you will build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.

As a Senior Data Visualization Engineer, you will create data visualizations, collaborate with teams to build reporting solutions, and translate business goals into actionable insights.

As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

The role involves designing data models and dashboards within a cloud-based analytics environment to support sales and marketing teams. It includes building data pipelines and troubleshooting data issues while collaborating with cross-functional leaders on data-driven solutions.

Transform raw data into trusted datasets; build and optimize data pipelines; integrate customer data; ensure data quality and reliability.

The Senior Data Analytics Engineer will support data analytics projects by creating dashboards, performing trend analysis, and designing data pipelines.