SQL Analytics Engineer

Location: Rockville, MD or McLean, VA (Hybrid)

Duration: 6+ months contract with long term extension

Only local DC/VA/MD who can take assessment before submission and also required for F2F interview.

The ideal candidate is not just a task executor, but someone who challenges assumptions, refines metrics, and drives better decision-making through data.

• Develop and optimize complex SQL queries for large-scale data analysis
• Identify data anomalies, inconsistencies, and quality issues across datasets
• Transform raw data into meaningful, actionable insights for business users
• Support modernization efforts of legacy analytics/reporting platforms
• Contribute to migration initiatives from legacy big data frameworks to modern cloud-based query engines
• Improve query performance and scalability across large datasets
• Build automation to streamline reporting and analytics workflows
• Support basic engineering tasks such as running and maintaining CI/CD pipelines

• Strong SQL expertise, including performance tuning and working with large datasets
• Experience with cloud-based data platforms and analytics environments
• Hands‑on experience with large-scale data (big data ecosystems or distributed query engines)
• Strong analytical mindset with ability to detect data anomalies and inconsistencies
• Experience translating data into business insights

• Experience with in a cloud ecosystem (e.g., serverless query tools, relational databases)
• Familiarity with services such as object storage, serverless compute, and workflow automation
• Exposure to CI/CD tools (e.g., Jenkins or similar)
• Background in analytics platform modernization or migration initiatives
• Blend of analytics and light software engineering/automation skills

• SQL-driven analytics on large-scale datasets
• Cloud-based data querying and platform modernization
• Data quality, performance optimization, and insight generation
• Automation and efficiency improvements in reporting workflows