[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. RV Tech's Core Data team builds and scales the data platform and analytics capabilities that support decision-making across the organization. The Senior Data Engineer will migrate the Vehicle Catalog to a new Databricks environment, refactor ETL/ELT and analytics pipelines, migrate datasets and reporting assets, validate data parity, and support pipeline operations after cutover.

Responsibilities

• 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

Skills

• + 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
• + Hands-on experience building ELT pipelines using modern cloud data platforms (Databricks experience required)
• + 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
• + Familiarity with Fivetran connector management and ingestion architecture
• + Experience with data contracts and schema governance
• + Knowledge of streaming or near-real-time data pipelines

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