Sr. Data Engineer
Company: Chubb
Location: Simsbury
Posted on: April 1, 2026
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Job Description:
Description Position Overview: We are seeking a skilled and
motivated Sr Data Engineer to join our team. The ideal candidate
will have a strong background in designing, developing, and
optimizing data pipelines and ETL processes, with hands-on
experience in Python, Databricks, and/or IICS (Informatica) or
similar. The ideal candidate will also have proven experience
leading teams of data analysts & ETL developers for solution
delivery. This role requires a collaborative mindset, a passion for
data engineering best practices, and the ability to deliver
scalable and efficient data solutions that align with business
objectives. Key Responsibilities: Data Pipeline Development:
Design, develop, and implement data pipelines and ETL processes
using Python and Databricks and/or IICS (Informatica).
Collaboration: Work closely with data scientists and analysts to
understand data requirements and deliver solutions that meet
business needs. Optimization: Optimize existing data workflows for
performance, scalability, and reliability. Monitoring and
Troubleshooting: Monitor and troubleshoot data pipeline issues,
ensuring timely resolution to maintain data integrity and
availability. Documentation: Document data processes, workflows,
and technical specifications to ensure clarity and maintainability.
Continuous Learning: Stay updated with the latest industry trends
and technologies related to data engineering, cloud services, and
data integration. Qualifications Technical Expertise: Proven
experience in Python programming and data manipulation. Knowledge
of Databricks and its ecosystem (e.g., Spark, Delta Lake).
Experience with IICS (Informatica) or similar cloud-based data
integration tools. Familiarity with SQL and database management
systems (e.g., SQL Server, Snowflake). Understanding of data
warehousing concepts and best practices. Experience with cloud
platforms (e.g., AWS, Azure, GCP). Leadership & Collaboration
Ability to collaborate with business to determine technical
solution requirements Experience leading dev teams using agile
practices Problem-Solving and Optimization: Mid-level
problem-solving skills with a focus on addressing performance
issues in data workflows. Experience implementing optimization
techniques and evaluating performance improvements using measurable
metrics. Best Practices: Understanding of data engineering best
practices, including data quality, reliability, and
maintainability. Knowledge of robust monitoring practices and data
governance principles. Soft Skills: Strong communication and
collaboration skills. Familiarity with Agile development
methodologies. Preferred Skills: Hands-on experience with data
storage solutions such as data lakes and data warehouses. Knowledge
of data orchestration frameworks and their practical application in
past projects. Insights into common pitfalls in the data lifecycle
and strategies to avoid them.
Keywords: Chubb, New England , Sr. Data Engineer, IT / Software / Systems , Simsbury, Northeast
