
51 - 200 employees
Founded 2011
🎖️ Defense
💼 Consulting
📦 Logistics
Defense • Consulting • Logistics
DecisionPoint Corporation is a Service Disabled Veteran Owned Small Business specializing in IT modernization and digital transformation for government agencies. They provide comprehensive services including cybersecurity, health IT, and intelligent automation solutions, aimed at improving operational efficiency and effectiveness while ensuring secure cloud migration. Their Centers of Excellence approach drives mission success by addressing the most pressing challenges faced by government entities through innovative technology and expert support.
🔥 1 hour ago
🌽 Illinois – Remote
⏰ Full Time
🟠 Senior
⚙️ Software Development Engineer in Test (SDET)
🦅 H1B Visa Sponsor
👻 Ghost score 25%
Where this job comes from
Posted on DecisionPoint Corporation's careers page, not through a job board
First seen by Remote Rocketship 1 hour ago
Still open on DecisionPoint Corporation's site. Checked 22 minutes ago.

51 - 200 employees
Founded 2011
🎖️ Defense
💼 Consulting
📦 Logistics
Defense • Consulting • Logistics
DecisionPoint Corporation is a Service Disabled Veteran Owned Small Business specializing in IT modernization and digital transformation for government agencies. They provide comprehensive services including cybersecurity, health IT, and intelligent automation solutions, aimed at improving operational efficiency and effectiveness while ensuring secure cloud migration. Their Centers of Excellence approach drives mission success by addressing the most pressing challenges faced by government entities through innovative technology and expert support.
• Independently validate data pipelines, schemas, transformation logic, calculations, datasets, and reporting outputs against documented requirements and business rules • Develop SQL reconciliation tests comparing source data with intermediate datasets, warehouse tables, analytical outputs, dashboards, and reports • Verify record counts, totals, aggregations, joins, mappings, calculated fields, and source-to-target completeness • Test data schemas, field types, required values, relationships, referential integrity, and schema-change handling • Build automated regression checks for pipeline, schema, calculation, application, and reporting updates • Validate data-quality controls for accuracy, completeness, consistency, uniqueness, validity, and timeliness • Develop access tests for authorized access, role restrictions, data visibility, and unauthorized-user behavior • Test data freshness, refresh schedules, processing latency, pipeline execution times, and reporting performance • Validate error handling for missing, duplicate, malformed, late-arriving, or invalid data • Maintain repeatable test datasets, expected results, reconciliation rules, and automated dataset checks • Verify training, validation, testing, and analytical datasets meet documented quality and preparation requirements • Maintain traceability among requirements, business rules, test cases, test data, execution results, defects, and retest evidence • Integrate automated data-quality and regression checks into approved delivery pipelines and scheduled validation processes • Document test procedures, execution results, supporting queries, discrepancies, and reproducible evidence • Record and track defects, coordinate investigations, and verify corrections through retesting • Assess the effect of data or calculation defects on downstream models, dashboards, reports, and mission decisions • Support user acceptance testing by preparing validated datasets, reconciling expected results, and investigating discrepancies • Provide test status, defect trends, unresolved risks, and release-readiness findings to technical teams and Government stakeholders • Maintain test documentation, defect records, dataset checks, and retest results for program reviews and inspections • Improve test coverage and automation based on recurring defects, production findings, and lessons learned • Collaborate with data engineers, AI/ML engineers, business analysts, developers, cybersecurity personnel, and Government stakeholders
• Active Secret clearance or higher • Minimum of eight years of relevant professional experience • Bachelor’s degree in computer science, information systems, data analytics, or a related field, or a permitted equivalent • Experience developing and executing SQL reconciliation tests • Experience validating data pipelines • Experience developing or maintaining automated regression tests • Experience performing access testing • Experience implementing or validating data-quality controls • Ability to independently validate schemas, calculations, datasets, and reporting outputs • Ability to develop and execute data freshness and performance tests • Ability to maintain test evidence, defect records, dataset checks, and retest results • CompTIA Security+ CE or another approved IAT Level II certification when applicable to assigned duties
• Regular full-time employment • Remote work arrangement • Chicago-area candidates preferred • Opportunity to support a USMEPCOM ENLIST government contract program • Equal employment opportunity and affirmative action protections
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