Data EngineerInterview: Virtual (Interview Process)Visa: All visa except H1b Hybrid: Des Moines (local or nearby)Top 3 skills: Need 10+ years' experiencePython-based Data Engineering (ETL/ELT) – Building and maintaining backend data pipelines and curated data products.AWS Data Platform Experience – Working with AWS services to ingest, transform, and support analytics workloads.Snowflake & SQL – Designing, querying, and optimizing data in Snowflake for analyst consumption.Reason for Opening: This role is open due to a temporary internal resource shift tied to a special initiative. The contractor will backfill to maintain continuity and delivery.Role OverviewPartner with a Product Manager and Analytics Consultant in the Data & Analytics spaceBuild and support ETL pipelines to create curated data products for analystsWork independently on smaller efforts and pair on larger initiativesConsult with analysts as they explore and adopt AWS servicesPrimary development in Python, AWS, and SnowflakeTech StackCore: Python, AWS, Snowflake, SQL, GitHubLimited exposure: Informatica (not a core platform)Ideal ProfileStrong experience with Python, AWS, and GitHubNice to have: API-based data extraction, Snowflake, data modeling tools (e.g., Erwin)Comparable or transferable experience consideredTeam & CollaborationTeam of 4–6 engineersHighly collaborative, cross-functional environmentRegular interaction with multiple enterprise teamsWork DetailsHybrid: minimum 3 days onsite per weekSenior-level role targeting 8+ years of experienceBackend data engineering focused (no dashboards or front-end analytics)Additional ContextTeam is navigating operating model changesIdeal candidates are adaptable and comfortable with evolving ways of working