QA Data Engineer

JPS Tech Solutions; Portland (ME); Remote; USD 60,000 - 80,000; Full time

Job summary

A tech solutions firm is seeking a Quality Assurance (QA) Data Engineer to support their Enterprise Data Platform. The ideal candidate will have over 5 years of experience with strong SQL skills and familiarity with GCP data services. This remote role focuses on ensuring high-quality data through comprehensive testing and validation practices. The position offers a 6-month contract with potential for extension based on performance.

Qualifications

• 3-5+ years of experience in data engineering, data testing, or quality assurance.
• Strong proficiency in advanced SQL, and data validation frameworks (test strategies).
• Experience with GCP data services (BigQuery, Dataflow, Dataproc, Cloud Storage).

Responsibilities

• Partner with Data Engineers, Analysts, and business stakeholders to define quality requirements.
• Document test cases, data validation rules, and best practices.
• Develop and implement test cases for ETL/ELT pipelines.

Skills

Advanced SQL proficiency

Data validation frameworks

GCP data services familiarity

Automated testing frameworks

Hands-on data experience

Tools

Python

Great Expectations

dbt tests

Job description

Overview

We have an immediate need for a Quality Assurance (QA) Data Engineer reporting to Enterprise Data Platform (EDP) Delivery teams. The initial contract is 6 months with the possibility of an extension based on performance. Location of assignment can be remote only but working EST hours. Experience Level: 5+ years.

Job Details

• Job Category: Engineer
• Job Type: Remote
• Job Location: Maine Portland
• Compensation: Depends on Experience
• W2: W2-Contract Only; applications on a C2C basis will not be considered
• Job Id: JPS-4656
• Posted On: 10/10/2025
• Closes On: 10/18/2025

Key Responsibilities

• Partner with Data Engineers, Analysts, and business stakeholders to define quality requirements.
• Document test cases, data validation rules, and best practices for scalable data governance.
• Develop and implement test cases for ETL/ELT pipelines, data transformation, and ingestion processes.
• Perform data validation, execute test cases (manual or automated) and analyze results. Regression testing to ensure adequate error validation. Reconcile variances and data anomalies to ensure high-quality data.
• Validate data transformations and ingestion processes for structured and unstructured data.
• Monitor and troubleshoot data issues, failures, and inconsistencies across the pipeline.
• Provide support for root cause analysis and resolution of data-related defects, including identification of code changes.
• Document and track defects, providing detailed reports to development teams for resolution.
• Participate in the design and implementation of automated testing scripts to improve testing efficiency.
• Conduct regression testing to ensure new code changes do not adversely affect existing functionality.
• Perform post-release and post-implementation validation of software performance in production environments.
• Continuously monitor and evaluate the quality of software deliverables, providing feedback for improvement opportunities.
• Collaborate with end users to gather feedback.

Qualifications & Skills

• Must-Have:
• 3-5+ years of experience in data engineering, data testing, or quality assurance.
• Strong proficiency in advanced SQL, and data validation frameworks (test strategies).
• Familiarity with GCP data services (BigQuery, Dataflow, Dataproc, Cloud Storage) and Python.
• Familiarity with automated testing frameworks for data (e.g., Great Expectations, dbt tests).
• Able to be hands-on with data and create test cases for stated requirements.
• Experience working with and integrating Retail Data.
• Nice-to-Have:
• Familiarity with client data and business process.
• Understanding data concepts, including storage, retrieval and analysis.
• Understanding ETL/ELT processes, data modeling, and schema design.

Additional

• Strong understanding of software development and testing methodologies.
• Excellent analytical and problem-solving skills.
• Attention to detail and ability to document defects accurately.
• Highly collaborative. Works effectively with cross-functional teams for the support and performance of the EDP and packaged applications.
• Strong understanding of project management methodologies, including Agile and Waterfall.
• Effective communication skills, both written and verbal, to collaborate with cross-functional teams.
• Familiarity with programming languages (e.g., Java, Python) and scripting for automated testing.
• Ability to work independently and manage multiple tasks simultaneously.
• GCP or other relevant certification in software testing.