Top Data Engineer Jobs in Boston, MA
Join Takeda as a Director, External Data Governance & Execution overseeing the performance and delivery of data vendor community, coordinating data ingestion approach, managing business and documentation, and ensuring compliance with data governance policies.
Lead a team of developers to design, develop, test, and support technical solutions using full-stack development tools and technologies. Collaborate with Agile teams and digital product managers to deliver cloud-based solutions. Stay updated with tech trends and mentor other engineers. Perform unit tests and code reviews to ensure performance optimization.
Collaborate with Agile teams to design, develop, test, and implement technical solutions using Java, Scala, and Python. Work on cloud-based data warehousing services and stay up-to-date with tech trends. Mentor team members and contribute to delivering cloud-based solutions for financial empowerment.
As a Senior Data Engineer, Snowflake, you will lead a data team focused on providing a best-in-class experience for products and customers. Responsibilities include platform administration, performance tuning, infrastructure guidance, automation, monitoring, disaster recovery planning, and technical support.
As a Data Science Engineer (Risk), you will design algorithms and systems to identify and mitigate risk within Fraud, Anti Money Laundering, and Responsible Gaming domains. You will utilize data, machine learning, and software development skills to craft high-impact solutions that transform the business.
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Seeking a highly motivated BI Engineer III to own the design, development, and maintenance of metrics, reports, and analyses. Responsibilities include working closely with Supply Chain teams, analyzing demand and resource requirements, and improving reporting and analysis processes. Requires advanced knowledge of SQL, data modeling, Python, and data visualization tools. Must have 7+ years of experience in automated data warehousing environments and 5+ years with data visualization tools like Tableau. Bonus points for experience with AI/ML, AWS services, and statistical models.
Lead and mentor a team of Data Scientists, Research Scientists, Machine Learning Engineers, and Software Engineers to develop and implement models and algorithms for solving complex fulfillment problems using advanced statistical methods. Collaborate with cross-functional teams to support new data science software products and drive process improvement initiatives to streamline operations and improve metrics.
Looking for a Principal Data Analytics Engineer to design, build, and maintain data models using dbt, partner with stakeholders, drive best practices, mentor junior team members, and contribute to platform ownership tasks at CarGurus.
As a Staff Data Science Tech Lead on our Training team at WHOOP, you will develop algorithmic features and metrics that capture aspects of daily movement, exercise, and training, leveraging various data sources and machine learning algorithms to provide insights to members.
Join our Cybersecurity, Privacy and Forensics team at PwC as a Manager focusing on strategic programs, data analytics, innovation, deals, cyber resilience, response, and technical implementation. As a key member of the Information Governance team, you will help clients manage electronic data and implement governance controls to mitigate information risk. This role involves coaching team members, analyzing complex ideas, and building trusted relationships.
The Lead Data Engineer will be responsible for expanding and optimizing data pipeline architecture, data flow, and collection for cross functional teams. They will drive data initiatives and ensure optimal data delivery architecture throughout projects. The role involves data mapping, data modeling, and data consumption. The Lead Data Engineer must be self-directed, support multiple teams' data needs, and optimize the company's data architecture for future products and initiatives.
Design and develop data pipelines, integrate and manage data, implement metadata management and governance, perform performance tuning and troubleshooting, and manage data maturity lifecycle.
The Analytics Engineer at Simply Business will provide analytical support for business stakeholders, focusing on improving product investments and driving operational efficiencies. Responsibilities include data modeling, data integration, collaborating with engineering and product teams, and translating business use cases into analytical solutions.
Top Companies in Boston, MA Hiring Data + Analytics Roles
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