Senior Data Engineer to join its Platform Engineering team in Boston, MA, driving the design, automation, and scaling of our cloud-native data platform. As a Senior Data Engineer, you ll work closely with engineering and business leaders to design and build data integration solutions that drive enterprise analytics and decision-making. You ll leverage cloud technologies, CI/CD pipelines, and Power BI to deliver scalable, high-performance data solutions. The ideal candidate excels in ETL programming, data integration, and data modeling, enabling self-service analytics and ensuring data accessibility, governance, and integrity. You ll be part of an agile team, participating in Scrum ceremonies and deliver continuous value to stakeholders.
Qualifications, Skills and Experience:
7+ years of professional experience in data engineering and BI, with a focus on Azure technologies.
Deep expertise in SQL Server (2016+), Azure Data Factory, Databricks, and NoSQL databases.
Strong experience in ingesting and integrating data from APIs, JSON, XML, CSV, XLS, and other formats.
Experience with configuration-driven data ingestion and transformation processes.
Strong understanding of Lakehouse architecture, data warehousing concepts, and dimensional modeling.
Experience with Power BI, SSRS, and/or Microsoft Fabric for reporting and analytics.
Hands-on experience with CI/CD tools (ADO/GitHub Actions/CircleCI) and DataOps practices.
Familiarity with data quality, data observability, data governance, cataloging, and MDM tools.
Proficient in Agile methodologies; experience with Scrum ceremonies, sprint planning, and backlog management, burndown metrics, and incremental delivery.
Excellent collaboration, communication, and mentoring skills, including working with offshore teams.
Proactive, self-driven, and committed to continuous learning and improvement.
Positive influence on a team of skilled data engineers.