Remote Data QA Engineer | Python & Databricks

INSPYR Solutions

Town of Florida (NY)

Remote

USD 90,000 - 120,000

Full time

4 days ago
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Job summary

INSPYR Solutions is seeking a DATA/QA Engineer to validate data via SQL/Python tests and build automated test suites. You will test APIs, validate scoring pipelines, and ensure data quality across environments. Strong Databricks experience and Python/SQL fluency are required to thrive in a Remote US-based role.

Ideal candidates will have 3–5 years of experience, a BS/MS in CS/CE, and the ability to work EST/CST hours with independent yet collaborative work style.

Qualifications

  • 3-5 years work experience in data/QA
  • BS/MS in Computer Science, Computer Engineering or related field required
  • Advanced SQL and Python proficiency for data validation
  • QA testing experience for REST APIs and data pipelines
  • Ability to automate tests and build test suites
  • Strong knowledge of database design and ERD
  • Ability to work independently while collaborating with team

Responsibilities

  • Create SQL/Python scripts to test data accuracy across on-premise or cloud environments
  • Automate data testing workflows and schedule jobs
  • Test SQL/Python scripts from multiple sources for consistent results
  • Validate business requirements against code outputs and scoring pipelines
  • Build comprehensive API test suites to ensure correct outputs

Skills

3-5 years experience
BS/MS in CS/CE
Databricks
Python
Advanced SQL
QA testing with Python/SQL
REST API testing
Automated testing scripts
ERD/database design
Independent with team collaboration

Education

BS/MS in Computer Science or related field

Tools

Databricks
API testing tools

Job description

INSPYR Solutions is seeking a DATA/QA Engineer to validate data via SQL/Python tests and build automated test suites. You will test APIs, validate scoring pipelines, and ensure data quality across environments. Strong Databricks experience and Python/SQL fluency are required to thrive in a Remote US-based role.

Ideal candidates will have 3–5 years of experience, a BS/MS in CS/CE, and the ability to work EST/CST hours with independent yet collaborative work style.

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