Data Quality Engineer

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🔥 0 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $85k - $100k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Trilogy Federal

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

💼 Consulting

📦 Logistics

🎖️ Defense

Consulting • Logistics • Defense

Trilogy Federal is a Management and IT consulting firm, specializing in performance transformation, program management, financial management, healthcare delivery, systems integration, information technology, and data analytics. Their expertise includes organizational and process transformation, strategic planning, change management, and digital workplace innovations. Trilogy Federal prides itself on its ability to rapidly improve clients' performance through tailored approaches and proven methodologies, serving various sectors with a focus on the federal civilian space. Their services also extend to financial management modernization, enterprise data management, and emerging technologies.

📋 Description

• Develop and implement automated data quality controls for enterprise data used in analytics, reporting, and AI/ML applications • Validate data ingestion and transformation processes for the Summit Data Platform • Design, develop, and maintain automated data quality tests and validation processes for cloud-based data workloads • Perform data reconciliation and equivalence testing between source systems, legacy platforms, and Summit datasets • Implement checks for completeness, consistency, validity, uniqueness, and timeliness • Develop and maintain automated monitoring, anomaly detection, and alerting capabilities • Validate data freshness and reliability SLAs and document test results, exceptions, and residual risks • Collaborate with data engineers, data governance specialists, and data owners on quality rules, thresholds, and publication criteria • Investigate discrepancies, perform root cause analysis, and coordinate corrective actions • Maintain data quality rules, test cases, validation results, and documentation • Develop and maintain data quality metrics, dashboards, and reports, including the Summit Data Quality and Ingestion Dashboard • Support production monitoring and release readiness by validating corrective actions, retesting datasets, and confirming quality standards • Ensure datasets meet Government-approved standards before publication and customer use

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related technical discipline, or an equivalent combination of education and relevant professional experience • Five or more years of professional experience in data quality engineering, data validation, data testing, or a related discipline • Strong proficiency in Structured Query Language (SQL) for data profiling, reconciliation, validation, and analysis • Experience developing automated data quality tests and validation scripts using Python or comparable programming languages • Experience testing Extract, Transform, and Load (ETL) and Extract, Load, and Transform (ELT) processes in enterprise data environments • Experience validating data accuracy, completeness, consistency, and integrity across multiple source systems and data platforms • Experience with data reconciliation, regression testing, anomaly detection, and root cause analysis • Familiarity with cloud-based data platforms, data warehouses, and lakehouse architectures • Experience documenting data quality rules, test results, defects, and corrective actions • Strong analytical, troubleshooting, communication, and collaboration skills • Ability to meet VA personnel vetting, background investigation, and system access requirements • Ability to travel for 1-2 domestic business trips per year • Preferred: Experience supporting VA or other federal agency data modernization initiatives • Preferred: Hands-on experience with Microsoft Azure data services, Azure Databricks, or Delta Lake • Preferred: Experience implementing enterprise data quality frameworks or tools such as Great Expectations, Soda, or comparable technologies • Preferred: Knowledge of DAMA data quality principles and enterprise data governance practices • Preferred: Experience implementing data observability solutions and automated quality monitoring for large-scale data pipelines • Preferred: Experience working with sensitive healthcare data and federal privacy and security requirements • Preferred: Relevant certification in data management, data quality, cloud data engineering, or data analytics

🏖️ Benefits

• Health, dental, and vision plans • Optional FSA • Paid parental leave • Safe Harbor 401(k) with employer contributions 100% vested from day 1 • Paid time off and 11 paid holidays • No cost group term life/AD&D plan, and optional supplemental coverage • Pet insurance • Monthly phone and internet stipend • Tuition and training reimbursement • Medical/dental/vision insurance coverage • 401(k) match • Supportive work/life balance

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