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Artificial Intelligence, SaaS, Software Development

Software Engineer in Test

United StatesHybridContractPosted 2 months ago

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Role summary

Seeking a Senior QA / SDET with a strong focus on data and ETL testing for high-impact data engineering initiatives. This role involves validating complex data pipelines, ensuring data accuracy across large datasets, and collaborating with data engineering teams. The ideal candidate will have advanced SQL skills, experience with ETL tools, and a solid understanding of data modeling. Responsibilities include end-to-end validation of ETL processes, source-to-target checks, and data quality assurance. Experience with cloud data platforms, Python, or big data tools is a plus.

Senior QA / SDET (Data / ETL Focus)

📍 St. Louis, MO or Dallas, TX (Hybrid)

⚡ Fast interview process

We’re looking for a
Senior QA / SDET with strong data/ETL testing experience
to work on high-impact data engineering initiatives. This is not a UI testing role. You’ll be validating complex data pipelines, ensuring accuracy across large datasets, and working closely with data engineering teams.

If you enjoy digging into data, writing SQL, and breaking ETL pipelines, this will be a great fit.

What You’ll Be Doing

  • Validate ETL pipelines and data warehouse systems end-to-end
  • Write complex SQL queries to verify data transformations
  • Perform source-to-target validation and data reconciliation
  • Test full loads, incremental loads, and error handling
  • Ensure data quality across large datasets (duplicates, nulls, integrity)
  • Partner closely with data engineers and business stakeholders
  • Support UAT and production validation

What We’re Looking For

  • Strong ETL / Data Warehouse testing experience
  • Advanced SQL skills (joins, aggregations, window functions)
  • Experience with tools like Informatica, Talend, DataStage, SSIS, or cloud ETL
  • Experience working with large datasets and batch processing
  • Understanding of data modeling (fact/dimension, SCD, star schema)

Nice to Have

  • Cloud platforms (Snowflake, Redshift, Azure Synapse, BigQuery)
  • Python or automation experience
  • Big data tools (Spark, Hive)

💡
Quick, efficient interview process. Strong team, high visibility work.

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