Job Description

Job Title:  QA Data Engineer

Location:  Portland, ME

Employment Type:  Contract

About US

DMV IT Service LLC, founded in 2020, is a trusted IT consulting firm specializing in IT infrastructure optimization, cybersecurity, networking, and staffing solutions. We partner with clients to achieve technology goals through expert guidance, workforce support, and innovative solutions. With a client-focused approach, we also provide online training and job placements, ensuring long-term IT success.

Job Purpose

We are looking for an experienced Quality Assurance (QA) Data Engineer to help ensure the accuracy, performance, and reliability of large-scale data systems within a cloud environment. The ideal candidate will bring strong expertise in data engineering, test automation, and cloud technologies, with a focus on maintaining data quality and process integrity.

Key Responsibilities:

• Collaborate with data engineers, analysts, and business users to define and implement quality requirements.
• Develop detailed test plans, data validation rules, and best practices for maintaining high data quality.
• Create and execute manual and automated test cases for ETL/ELT pipelines, data transformations, and ingestion processes.
• Perform regression testing to identify data inconsistencies and verify system performance after updates.
• Troubleshoot and resolve data anomalies, variances, and processing errors.
• Conduct root cause analysis and coordinate corrective actions for data defects.
• Develop and maintain automated scripts to improve testing efficiency.
• Validate structured and unstructured data transformations and ensure adherence to governance standards.
• Document defects, testing outcomes, and recommendations for continuous improvement.
• Participate in post-release testing to confirm production environment stability.
• Provide feedback and input for improving testing frameworks and methodologies.

Required Skills & Experience:

Must-Have:

• 3–5+ years of experience in data engineering, data testing, or quality assurance.
• Advanced proficiency in SQL and experience with data validation frameworks.
• Working knowledge of Google Cloud Platform services (BigQuery, Dataflow, Dataproc, Cloud Storage).
• Familiarity with Python and automated testing tools such as Great Expectations or dbt tests.
• Hands-on experience with ETL/ELT processes, data transformations, and data governance.
• Experience with retail data integration or large-scale data environments.

Nice-to-Have:

• Familiarity with client data workflows or business process systems.
• Understanding of data modeling, schema design, and analytics concepts.
• Exposure to data storage, retrieval, and processing technologies.

Additional Requirements:

• Strong understanding of QA methodologies and SDLC processes.
• Excellent analytical, documentation, and problem-solving skills.
• Ability to handle multiple tasks independently and meet deadlines.
• Strong collaboration skills across cross-functional teams.
• Proficiency with project management tools (Jira, Confluence, SharePoint).
• Effective communication, both written and verbal.
• Certification in GCP or software testing preferred.

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