Data Engineer IV

About the role

This hybrid Data Engineer III/IV role is ideal for someone who can step into an established, mostly in-house ecosystem and bring fresh ideas and best practices to make pipelines faster, cleaner, and easier to support as volume increases. You’ll work cross-functionally to improve ETL architecture, optimize performance, and strengthen data quality across business-critical systems.

Responsibilities

• Build, improve, and maintain scalable ETL pipelines to support increasing inbound data volume
• Develop and optimize SQL queries and data transformations for performance, reliability, and accuracy
• Partner with software engineers, architects, actuaries, and analysts to translate business needs into strong data solutions
• Assemble and manage large, complex datasets that meet functional and non-functional requirements (security, scalability, reliability)
• Create and maintain documentation, follow change management, and perform quality checks on business-impacting processes

Requirements

• 5+ years of hands-on data engineering experience (solid “III” level; deeper experience is the key differentiator vs. DE II)
• Advanced SQL skills, including writing and optimizing complex queries across relational databases (SQL Server required; PostgreSQL is a strong plus)
• Strong Python experience building and maintaining ETL routines/pipelines
• Proven ETL architecture experience (designing, improving, and simplifying pipelines to make delivery easier and more scalable)
• Strong software engineering fundamentals (experience with languages like C# is transferable; ability to work in structured codebases, troubleshoot issues, and improve performance)

Qualifications

• Data warehouse exposure (very strong plus)

Pay

Salary Range: $125,000–$130,000 (based on level and experience)