The Role
Serve as validation authority for a government decision-intelligence platform: build verification matrices, validate data quality and pipelines, lead UAT, manage defects and regression, compile forensic test evidence, and verify performance and reproducibility against strict contract thresholds.
Summary Generated by Built In
We are a growing information technology company that offers its employees a culture of success, the chance to work on revolutionary federal IT infrastructure, and the opportunity to grow alongside cutting-edge technology that is reshaping the industry. We are seeking forward thinking candidates that have strong experience in operational support and can help take to the next level in a pro-active stance.
Chameleon Integrated Services has expertise in operations management, quality systems, data operations and cybersecurity. We secure some of the most sensitive data for the Department of Defense and for other U. S. federal government agencies. We are known for the great care we take with clients and employees, and we believe in promoting from within.
Senior Data Quality / QA & UAT Lead
Position Overview
- Employment Type: Part-Time Consultant / Technical Validation Authority
- Target Allocation: 10–14 hours/week average (Note: Workload rises substantially during active milestone acceptance gates, multi-agency onboarding validation waves, and final platform performance tuning).
- Technical Reality: This role carries direct contractual utility. The project Request for Quotes (RFQ) establishes strict, legally binding quantitative performance thresholds. Every deliverable must clear meticulous independent verification before payment is authorized.
- Compensation Type: Milestone / Deliverable-Based Fixed-Price Engagement.
This platform will unify statewide oversight, tracking abnormal spending patterns, contract vulnerabilities, and fraud/waste/abuse risks across up to 35 state agencies. Because this is a firm-fixed-price (FFP) state government contract, you will maintain technical accountability for proving that all platform components meet strict contract benchmarks before they are submitted for final government sign-off.
Principal Responsibilities
- Verification Matrix Management: Build and maintain the master integrated verification matrix mapping technical test coverage across all 15 sequential project deliverables.
- Data Quality Benchmarking: Formally validate that data structures maintain a 98% or greater field completeness rating and a 95% or greater cross-system correlation accuracy rate.
- Pre-Submission Rule Auditing: Independently test and audit the enterprise business rule library to mathematically verify that analytics outputs maintain a 95% or greater rule-output accuracy rate and a 5% or lower false-positive rate before state submission.
- Pipeline Reliability Testing: Validate end-to-end data pipeline runs, ensuring automated ingestion, Slowly Changing Dimension Type 2 (SCD2) versioning, and ledger reconciliation modules perform with zero critical errors.
- UAT Orchestration: Lead, structure, and coordinate User Acceptance Testing (UAT) scripts, test cases, and onboarding execution logs alongside OCIG program staff and agency Inspector General participants.
- Forensic Evidence Compilation: Prepare, version-control, and package comprehensive test datasets, logs, scripts, and configuration details to support independent state validation teams during formal system reruns.
- Performance & Latency Tuning Verification: Rigorously test and document platform performance metrics, verifying that dashboard page loads remain under 5 seconds, query filter responses remain under 2 seconds, and total pipeline execution durations conclude within 2 hours.
- Defect Tracking & Regression: Manage the complete defect lifecycle, executing rigorous regression testing and retesting corrected bugs to ensure zero unresolved critical vulnerabilities or schema defects remain in the code base.
- Reproducibility Validation: Conduct structural operational audits on all system documentation, rule libraries, and data dictionaries to confirm they are completely reproducible by a third party outside the core engineering team.
- Experience Baseline: 8+ years of dedicated experience in software QA, data testing, data quality engineering, or technical systems validation.
- Government Context: Proven history designing testing frameworks, user validation parameters, or QA metrics within a local, state, military, or federal government IT program.
- Pipeline Vetting: Extensive experience testing enterprise ETL/ELT pipelines, validating raw-to-curated storage layers, and scripting source-to-target data reconciliations.
- Financial Data QA: Strong background executing record-count verifications, control-total testing, schema evolution validation, and profiling multi-source transactional ledger records.
- Technical Tool Stack: Advanced proficiency using SQL for data exploration and hands-on experience handling API integration testing.
- Structural Testing: Solid background in regression testing, requirements-to-test traceability mapping, and quantitative performance/stress testing.
- Environment Management: Experience writing structured test scripts and maintaining isolated, version-controlled test datasets.
- Defect Governance: Expert-level competence in structural defect management, tracking metrics, and building reproducibility evidence packages.
- Vetting & Location: Must be a U.S.-based citizen or resident. Must be able to successfully clear an FDLE Level II background screening (including fingerprinting) within 5 business days of contract award.
- Hands-on experience executing automated data quality testing and pipeline validation inside Azure Databricks or Azure Data Lake Storage Gen2 environments.
- Practical familiarity utilizing programmatic data quality frameworks such as Python/PyTest, Great Expectations, Deequ, or comparable automated testing tools.
- Experience validating enterprise Microsoft Power BI dashboards, semantic data models, and specialized reporting layout views.
- Background supporting formal Government Independent Verification and Validation (IV&V / ITV) processes or external agency financial audits.
- Working familiarity with Section 508 accessibility compliance testing standards.
- Experience validating complex analytical models, machine learning outliers, or hybrid rules-plus-ML detection architectures.
The State of Florida strictly evaluates and verifies all named staff experience for this contract. Generic resumes that only list generalized technical summaries or generic testing checklists without specific government framework context will be automatically rejected.
To be considered for this role, your resume must explicitly detail the following metadata for your past contract positions:
- The Government Customer: Explicitly name the agency and the specific system testing context (e.g., Federal Administration, Military Branch, State Department Office).
- The Specific Performance Metrics: Detail the exact quantitative contract thresholds you were responsible for verifying (e.g., "Validated 99% pipeline run success rates," "Maintained data completeness benchmarks").
- System Scale & Complexity: Specify the exact size of the test datasets, the number of distinct user roles or legacy systems integrated, and the precise project duration.
- Personal Contribution: Detail exactly what you personally tested, scripted, or orchestrated (e.g., "Authored the master UAT plan for 10 onboarding departments," "Coded automated data profiling regression scripts using PyTest").
- Deployment & Acceptance Status: Explicitly state the true production, operational, or formal sign-off status achieved by deliverables under your validation oversight.
- Quantifiable Quality Results: Include the precise metrics achieved under your guidance, such as percentage reduction in production defects, testing turnaround times, or independent audit pass rates.
Skills Required
- 8+ years experience in software QA, data testing, data quality engineering, or technical systems validation.
- Proven history designing testing frameworks or QA metrics in local, state, military, or federal government IT programs.
- Extensive experience testing enterprise ETL/ELT pipelines, source-to-target reconciliations, and raw-to-curated validations.
- Experience with financial data QA: record-count verifications, control-total testing, schema evolution validation, multi-source transactional ledger profiling.
- Advanced proficiency with SQL for data exploration and hands-on experience with API integration testing.
- Strong background in regression testing, requirements-to-test traceability mapping, and quantitative performance/stress testing.
- Experience writing structured test scripts and maintaining isolated, version-controlled test datasets.
- Expertise in defect governance, tracking metrics, and building reproducibility evidence packages.
- Must be a U.S.-based citizen or resident.
- Ability to successfully clear an FDLE Level II background screening (including fingerprinting) within 5 business days of contract award.
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The Company
What We Do
Chameleon Integrated Services is an information technology company offering requirements management services.
