Data Engineer IV

Ready to build data pipelines that keep up as the business scales? 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. Duties 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) Nice to have: Data warehouse exposure (very strong plus) Salary Range: $125,000–$130,000 + (based on level and experience) #J-18808-Ljbffr Allied OneSource