[Hiring] Senior Data Engineer @Artech

Role Description

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.

• 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

• 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, framework testing, documentation, audit checks 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.