Tester Senior

Immediate need for a talented Tester Senior. This is a 12 Months Contract opportunity with long-term potential and is located in McLean, VA or Plano, TX (Remote). Please review the job description below and contact me ASAP if you are interested.

Job ID:26-18828

Pay Range: $50 - $55/hour.  Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
 
Key Responsibilities:

• Process & Technology Review - Assess end-to-end data modeling lifecycle processes (intake, design, review/approval, governance, versioning, publication, change management, and release).
• Evaluate tooling and integrations (data modeling tools, metadata/catalog, version control, CI/CD, ticketing/work management).
• Identify gaps, risks, bottlenecks, and control weaknesses; document findings and prioritized recommendations.
• Review alignment to enterprise standards (naming conventions, modeling patterns, domain boundaries, stewardship, metadata/lineage expectations). 
• Manual Testing - Create and execute manual test plans and test cases for key workflows, including: - Model creation/updates (conceptual/logical/physical as applicable)
• Standards validation (naming, datatypes, keys, relationships, referential integrity)
• Model-to-DDL generation and deployment readiness checks - Versioning/branching/merging and promotion processes
• Metadata publishing and verification (catalog/glossary/lineage where applicable)
• Security and role-based access controls within tools
• Document test evidence, defects, and remediation recommendations; support triage and retesting. 
• Test Strategy & Automation Roadmap
• Define a fit-for-purpose testing strategy for data modeling transformation outcomes (quality, governance, velocity, auditability).
• Identify automation candidates and define what should be automated vs.   remain manual. 
• Recommend an automation approach and integration points, potentially including: 
• Automated standards checks (rule-based validation / linting) - Model diffing and regression checks across versions 
• CI/CD quality gates for model changes (PR checks, approvals, artifact packaging) 
• Automated verification of model-to-implementation consistency (where feasible) 
• Automated metadata publishing completeness checks
• Deliver a phased roadmap with dependencies, effort estimates, and measurable success criteria; optionally deliver a proof of concept if in scope. 

Key Requirements and Technology Experience:

• Must have skills: Automation Testing, java, python, AI, Artificial intelligence, Machine learning, black box, cucumber
• Must have experience setting up testing and automation. 
• Heavy experience with data modeling and a strong understanding of logical data modeling. 
• Advanced Excel skills using complex worksheets. 
• Hands on development with Java or Python, automation testing, AI/ML fluency, and SQL. 
• Nice to have: Industry knowledge and data used in the mortgage industry7 years of experience in data engineering, data architecture, data modeling, QA, or related roles with a strong testing focus. 
• Demonstrated experience testing data/metadata/modeling workflows (beyond application UI testing). 
• Strong knowledge of data modeling concepts: entities/relationships, keys, normalization, dimensional vs.   relational patterns, naming/standards.  
• Proven ability to develop test plans, write test cases, and execute structured manual testing with clear documentation. 
• Strong analytical and communication skills; able to produce actionable assessment and roadmap deliverables.  
• Experience with enterprise data modeling tools (e.g., ER/Studio, ERwin, SAP Power Designer, Sparx EA, or similar). 
• Familiarity with metadata/catalog/governance platforms (e.g., Collibra, Alation, Informatica, Microsoft Purview). 
• Experience with CI/CD and automation tooling (e.g., GitHub/GitLab, Azure DevOps, Jenkins) and scripting (Python preferred). 
• Experience implementing automated quality checks (rules engines, schema validation, model diffing). 
• Familiarity with common enterprise data platforms (e.g., Client, Databricks, SQL Server, Oracle, PostgreSQL) and DDL deployment patterns. 
• Key Competencies 
• Process analysis and continuous improvement 
• Manual testing discipline and defect management 
• Test strategy development and automation planning 
• Data governance and standards enforcement 
• Stakeholder management across architecture, engineering, governance, and delivery teams 
• Deliverables (Expected Outputs) 
• Current-state process and technology assessment with prioritized recommendations. 
• Manual test plan, test cases, execution results, and defect log. 
• Future-state testing strategy and test automation roadmap (phased). 
• Recommended KPIs/controls (e.g., standards compliance rate*** defect leakage, cycle time, automation coverage). 
• Optional: proof-of-concept automation scripts/pipeline examples (if agreed in scope). 

Our client is a leading Financial Services Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
 
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