Job Description
Job Description
This is a remote position.
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
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Work with one of our Staff Data Engineers to understand the migration plan, sequence your work against it, and provide regular progress updates.
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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.
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Migrate data pipelines and their underlying datasets, including backfills, and validate parity between source and target.
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Build and run reconciliation checks — row counts, schema conformance, freshness, completeness — to confirm migrated data matches the legacy environment.
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Migrate dashboards and downstream reporting assets to point at the new datasets, coordinating with the analysts who own them.
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Update orchestration, scheduling, alerting, and runbooks so migrated pipelines are supportable after cutover.
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Troubleshoot pipeline failures and data discrepancies during and after cutover.
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Document what was migrated, what changed, and anything the team needs to know to own it going forward.
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Take on adjacent migration and data engineering requests as the program evolves.
Salary will be based on the location and experience.
Requirements
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6+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering working with production data systems.
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Strong expertise in SQL and Python for building scalable data pipelines and transformations.
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Strong familiarity with AI tools like Claude Code / Devin for SW development process
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Hands-on experience building ELT pipelines using modern cloud data platforms (Databricks experience required).
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Building robust testing frameworks for Data Migration ( Completeness, Quality etc)
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Deep experience with dbt, including model development, testing, documentation, and CI/CD integration
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Experience designing and operating production-grade data pipelines with monitoring and observability.
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Strong collaboration skills and ability to partner with engineering teams, analysts, and operational stakeholders.
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Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.
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Prior data or platform migration experience