Scrum MasterData QA Engineer

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500 professionals delivering Digital Services Advanced Analytics Artificial Intelligence/Machine Learning Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special!

Position Overview

Halvik is seeking a Scrum Master / Data QA Tester to support the U.S. Department of Transportation (DOT) IPNDS modernization effort. This role combines Agile/Kanban delivery facilitation with hands-on quality assurance for enterprise data pipelines and analytics products. The position will work closely with the Product Owner Business Analyst data engineers technical leads architects and DevSecOps/CloudOps teams to maintain delivery flow remove blockers execute data-focused testing manage defects and support controlled releases across Dev Test and Production environments.

Core Responsibilities

• Strategic Execution: Facilitate Agile/Kanban delivery ceremonies and working sessions including daily flow reviews backlog replenishment refinement planning delivery reviews retrospectives and blocker follow-up. Maintain Jira boards workflow status WIP visibility dependencies delivery metrics and action items.
• Operational Oversight: Develop and execute test plans test cases regression suites and release-readiness checks for data pipelines data products and analytics solutions. Track testing progress defects retesting and exit criteria through completion.
• Collaboration: Partner with the Product Owner and Business Analyst to understand acceptance criteria and expected outcomes and coordinate with data engineers architects BI developers security and DevSecOps/CloudOps teams to resolve blockers defects and release dependencies. The separate Business Analyst role will retain primary ownership of business requirements and detailed functional analysis.
• Technical Performance: Perform data-focused QA using SQL and analytical tools including source-to-target reconciliation record-count and field-level validation business-rule checks duplicate/null detection incremental-load validation rerun/recovery testing and verification of downstream reports and datasets. Validate Bronze/Silver/Gold processing and data quality controls where applicable.
• Defect & Release Management: Log prioritize and track defects; maintain traceable test evidence; coordinate UAT support and release checklists; validate deployment prerequisites and approvals; and perform post-deployment smoke/regression testing in coordination with Data Engineering and DevSecOps/CloudOps teams.

Minimum Requirements

• Education: Bachelors degree in Information Systems Computer Science Business Data Analytics Engineering or a related field; equivalent relevant experience may be considered.
• Experience: Minimum of 5 years of combined experience in Scrum Master/Agile delivery software or data quality assurance testing or related roles supporting enterprise data analytics or application systems.
• Technical Proficiency: Working-to-intermediate SQL skills for data validation and troubleshooting; hands-on experience with Jira or similar Agile tools; experience testing ETL/ELT data warehouse/lakehouse APIs or analytics solutions; familiarity with defect management regression testing UAT support and release validation.
• Compliance: Must meet applicable U.S. DOT contract security and suitability requirements and follow established change management data protection access control testing documentation and release governance processes.

• Certifications: Certified ScrumMaster (CSM) Professional Scrum Master (PSM) SAFe Kanban ISTQB or comparable Agile/testing certification preferred; equivalent demonstrated experience will be considered.

Preferred Expertise

• Demonstrated success supporting U.S. DOT/BTS FAA or other Federal data/technology programs; experience with aviation transportation or other high-volume regulated data is a plus.
• Experience testing Databricks/Delta Lake or similar data platforms including source-to-target reconciliation data quality controls batch/incremental pipelines SQL validation regression testing and production-release support.
• Familiarity with CI/CD and controlled Dev-Test-Prod promotion Git-based workflows test automation using Python or comparable tools and collaboration with DevSecOps/CloudOps teams. Strong facilitation communication analytical and problem-solving skills.