Senior Data Engineer

About the Team & the Role

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. You'll be working alongside our engineers on well-defined pipelines with clear acceptance criteria, and you'll pick up related migration requests — including dashboard and reporting migrations — as they come up.

What You’ll 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.

Qualifications

Required

• 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.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.

• Prior data or platform migration experience

Nice-to-Have Skills

• Familiarity with Fivetran connector management and ingestion architecture.

• Experience with data contracts and schema governance.

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