Data Engineer with Data Quality
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Quality Engineer with a contract length of "unknown," located in Seattle/Santa Monica (hybrid). Required skills include SQL, data modeling, ETL, Scala/Java, and big data tools. A minimum of 7-8 years in data quality is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 5, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Seattle, WA
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🧠 - Skills detailed
#Spark (Apache Spark) #SQL (Structured Query Language) #Automation #Data Modeling #Python #"ETL (Extract #Transform #Load)" #Big Data #Regression #Databricks #Scala #Programming #Snowflake #Data Warehouse #Data Engineering #Datasets #JUnit #Airflow #Scripting #TestNG #Java #Data Quality #Databases
Role description
Role: Senior Data Quality Engineer
Location: Seattle/Santa Monica. Hybrid role – 3 days/office
Contract
Description
• Minimum 7-8 years’ experience in Quality validating ETL pipelines and Data Warehouses
• Expert SQL knowledge and experience working with relational databases as well as a working familiarity with a variety of databases.
• Good experience in data analytics, data engineering, data modeling, data
• warehousing, and big data platform
• Strong programming (Scala/Java) or scripting skills (Python)
• Experience with but not limited to JUnit/TestNG/BDD or similar tools
• Experience in a range of common big data tools & technologies such as Airflow, Hive, Snowflake, Databricks, Spark etc.
• Experience in working with large datasets (Terabytes or more)
• Own the quality of every release into production with a data-driven approach
• Build automated and reusable tests for data stores to improve quality and
• development velocity
• Diagnose issues, report defects, and propose regression tests to catch recurring bugs.
• Mentor fellow Test Engineers on the team to ramp up on automation concepts and
• contribute towards expanding test coverage
• Excellent communication skills and ability to interact with all levels of end users and technical resources
Role: Senior Data Quality Engineer
Location: Seattle/Santa Monica. Hybrid role – 3 days/office
Contract
Description
• Minimum 7-8 years’ experience in Quality validating ETL pipelines and Data Warehouses
• Expert SQL knowledge and experience working with relational databases as well as a working familiarity with a variety of databases.
• Good experience in data analytics, data engineering, data modeling, data
• warehousing, and big data platform
• Strong programming (Scala/Java) or scripting skills (Python)
• Experience with but not limited to JUnit/TestNG/BDD or similar tools
• Experience in a range of common big data tools & technologies such as Airflow, Hive, Snowflake, Databricks, Spark etc.
• Experience in working with large datasets (Terabytes or more)
• Own the quality of every release into production with a data-driven approach
• Build automated and reusable tests for data stores to improve quality and
• development velocity
• Diagnose issues, report defects, and propose regression tests to catch recurring bugs.
• Mentor fellow Test Engineers on the team to ramp up on automation concepts and
• contribute towards expanding test coverage
• Excellent communication skills and ability to interact with all levels of end users and technical resources
