We are seeking a highly skilled and experienced QA Engineer with a minimum of 6 years of experience in supporting federal agency projects. The candidate will contribute to ensuring data accuracy, quality, and compliance in a complex environment involving both legacy systems and modern cloud platforms. This role offers remote flexibility but requires occasional onsite meetings in Washington, D.C.

Responsibilities:

• Develop and execute detailed QA strategies, test plans, and test cases across complex data platforms and integration environments.

• Perform both manual and automated testing of cloud-based and on-premise data workflows, analytics platforms, and legacy systems.

• Validate data across ETL pipelines, data lakes, and BI/AI/ML tools, ensuring data quality, integrity, and lineage.

• Collaborate with cross-functional teams, including developers, data engineers, and product owners, to understand system requirements and ensure complete test coverage.

• Work in compliance with government standards for data security, privacy, and access control.

• Support QA documentation and provide evidence for compliance reviews and audits.

• Conduct regression, integration, UAT, and performance testing in varied technical environments.

• Analyze test results, identify root causes of defects, and assist in timely resolution.

Technical Environment:

Cloud Platforms & Databases:

• AWS RDS (Postgres), AWS Redshift, Databricks, MongoDB, DynamoDB, AWS Aurora (in exploration)

ETL & Data Integration:

• Databricks ETL, Informatica (on-prem), EFTU, Informatica Metadata (EDC, Axon)

Governance & Access Control:

• Immuta

Analytics & BI Tools:

• Advanced Analytics Platform (AAP) with AI/ML services

• Tableau, Business Objects (BOE), Power BI Integration

Modeling & Development Tools:

• IBM Rational Suite, IBM Data Architect

Legacy Systems:

• JCL, COBOL for z/OS, DB2

Required Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or a related field.

• Minimum of 6 years of QA experience, with direct experience in government data environments, preferably for the IRS.

• Proven ability to test data platforms, analytics environments, and legacy systems.

• Familiarity with data governance, data lineage, and compliance frameworks.

• Hands-on experience with QA automation tools and frameworks relevant to cloud and data platforms.

• Strong analytical and troubleshooting skills.

• Excellent communication and documentation abilities.

Preferred Qualifications:

• Experience working with Immuta, Informatica EDC/Axon, or Databricks in a QA capacity.

• Knowledge of data privacy regulations (e.g., FISMA, FedRAMP).

• Understanding of z/OS mainframe environments and data migration/testing strategies involving legacy platforms.

• Previous exposure to AI/ML model testing or analytics validation.

Work Environment:

• A remote work option is available, with periodic travel required to the Washington, DC metro area for on-site meetings or QA activities. Candidates must be located in the Washington DC metro area.

• Collaborative teams working across agile and hybrid SDLC models.

• High-impact role on data integrity and compliance for federal programs.

Synectics is an Equal Opportunity Employer. We offer a competitive salary and an impressive full benefits package that includes medical and dental, 401k w/company matching, company-paid life and short/long-term disability insurance, and paid leave. We also provide an environment that supports everyone's professional development and growth.