Senior Data Engineer

The Core Data team builds and scales the data platform and analytics capabilities that power decision-making across RV Tech. Within Core Data the Vehicle Catalog team owns the vehicle domain - ingesting curating and organizing vehicle data for analytics ML and BI use cases used by hundreds of stakeholders across dozens of domain teams.

We are migrating the Vehicle Catalog to a new Databricks account while simultaneously building out a new vehicle catalog on that platform. As a Sr. Data Engineer you will help us refactor and move the existing ETL/ELT and analytics pipelines into the new environment migrate the underlying data and validate that everything lands correctly.

This is hands-on migration work. Youll be working alongside our engineers on well-defined pipelines with clear acceptance criteria and youll pick up related migration requests - including dashboard and reporting migrations - as they come up.

What Youll Do

• Work with one of our Staff Data Engineers to understand the migration plan sequence your work against it and provide regular progress updates.

• Refactor existing ETL/ELT code written in PySpark DABs and dbt from the current Databricks environment to meet the patterns and standards of the new account.

• Migrate data pipelines and their underlying datasets including backfills and validate parity between source and target.

• Build and run reconciliation checks - row counts schema conformance freshness completeness - to confirm migrated data matches the legacy environment.

• Migrate dashboards and downstream reporting assets to point at the new datasets coordinating with the analysts who own them.

• Update orchestration scheduling alerting and runbooks so migrated pipelines are supportable after cutover.

• Troubleshoot pipeline failures and data discrepancies during and after cutover.

• Document what was migrated what changed and anything the team needs to know to own it going forward.

• Take on adjacent migration and data engineering requests as the program evolves.

• 6 years of experience in Data Engineering Analytics Engineering or Software Engineering working with production data systems.

• Strong expertise in SQL and Python for building scalable data pipelines and transformations.

• Strong familiarity with AI tools like Claude Code / Devin for SW development process

• Hands-on experience building ELT pipelines using modern cloud data platforms (Databricks experience required).

• Building robust testing frameworks for Data Migration ( Completeness Quality etc)

• Deep experience with dbt including model development testing documentation and CI/CD integration

• Experience designing and operating production-grade data pipelines with monitoring and observability.

• Strong collaboration skills and ability to partner with engineering teams analysts and operational stakeholders.

• Bachelors or Masters degree in Computer Science Engineering Mathematics or related field or equivalent practical experience.

• Prior data or platform migration experience

• Familiarity with Fivetran connector management and ingestion architecture.

• Experience with data contracts and schema governance.

• Knowledge of streaming or near-real-time data pipelines.