Data Lakehouse QA Automation Analyst #3630886

Charlotte, NC, US • Posted 23 hours ago • Updated 11 hours ago
Full Time
On-site
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Fitment

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Job Details

Skills

  • Team Building
  • Identity Management
  • Privacy
  • Data Loss Prevention
  • Jersey
  • Test Scenarios
  • Data Flow
  • Data Engineering
  • Microsoft Power BI
  • Reporting
  • Quality Assurance
  • ETL QA
  • Data Quality
  • Databricks
  • Apache Spark
  • SQL
  • Python
  • PySpark
  • Pandas
  • Data Validation
  • Extract
  • Transform
  • Load
  • Testing
  • Automated Testing
  • Test Strategy
  • Test Scripts
  • API QA
  • POSTMAN
  • Communication
  • Collaboration
  • Leadership
  • Test Cases
  • Scratch
  • Financial Services
  • Cyber Security
  • DICE

Summary

Be Part Of A High-Performing Team:

Join a collaborative technology team building a modern cybersecurity data platform that centralizes critical data across insider risk, access management, privacy, data loss prevention, phishing, smishing, and related security domains. This team is standing up a new enterprise data lakehouse environment designed to create a more reliable, authoritative source for cybersecurity data. The work is highly cross-functional, fast-moving, and suited for someone who enjoys helping build structure, testing practices, and quality standards in a developing environment rather than simply maintaining a mature process.

What's In Store For You:

This is a contract-to-hire opportunity with strong long-term intent for someone who can make an immediate impact. The role follows a hybrid schedule with two days onsite per week, ideally Wednesday and Thursday, in either Charlotte, NC or Jersey City, NJ. Engagement: W2 only, no C2C or 1099.

How You Will Make An Impact
  • Support end-to-end testing for a newly built cybersecurity data lakehouse environment.
  • Test ETL/data pipelines across Databricks, Spark SQL, Python, PySpark, and related modern data platform components.
  • Build and execute test scenarios for data ingestion, transformation, validation, reporting, and downstream consumption.
  • Validate source-to-target data flows and identify issues across complex data pipelines.
  • Support automation testing efforts for data pipelines and recurring validation processes.
  • Partner with data engineering, governance, reporting, and stakeholder teams to ensure data quality, accuracy, and completeness.
  • Help define testing practices, test cases, and QA processes in a growing environment that is still being matured.
  • Support validation of Power BI reporting outputs tied to cybersecurity data.

Are you an experienced data QA professional ready to make an impact in modern data platform testing?
  • 5-10 years of experience in QA, data testing, ETL testing, data validation, or related data quality testing roles.
  • Hands-on experience testing within Databricks environments.
  • Strong SQL and Spark SQL skills, with the ability to validate data across source, transformation, and target layers.
  • Hands-on Python and PySpark experience.
  • Experience using Pandas for data validation, analysis, or testing support.
  • Proven experience with ETL/data pipeline testing and source-to-target validation.
  • Experience building or contributing to automation testing frameworks.
  • Ability to explain end-to-end testing strategy, not just execute existing test scripts.
  • API testing and Postman experience are helpful, but may be learned if the candidate is otherwise strong.
  • Strong communication skills with the ability to collaborate across technical teams, stakeholders, peers, and leadership.
  • Comfortable working in a newer environment where processes, test cases, and frameworks may need to be built from scratch.
  • Financial services or cybersecurity data experience is a plus, but not required if technical skills are strong

#dice
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91004229
  • Position Id: RKli5OrVA1Jv
  • Posted 23 hours ago

Company Info

About Axiom Path

Axiom Path is a minority-owned global solutions provider committed to helping organizations drive value-driven results and transformative success through our Enterprise Talent Solutions, Consulting, and Advisory Services.

We leverage proprietary AI tools and technologies, along with our award-winning team of experienced industry experts, to deliver tailored solutions that meet our clients’ needs and drive businesses forward.

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