Data Engineer

For our client, we are seeking a Data Engineer to join the team of a leader in the Business Services space. This role will lead technical work focused on secure, reliable systems and risk-aware execution. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a Business Services environment. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $113,000 – $188,000 annually Responsibilities Design and maintain data pipelines and ETL processes Build and optimize data architectures for analytics Implement CI/CD pipelines for data workflows Develop cloud-based solutions using AWS and Azure Collaborate with teams for data integration and model design Ensure data quality and security through monitoring Support data migration and modernization projects Qualifications U.S. Citizenship or Green Card required Bachelor's degree required 8+ years in data engineering or related roles Proficient in Java, Python, SQL, and PySpark Strong experience in ETL and data pipeline development Extensive knowledge of relational and NoSQL databases Familiarity with cloud services such as AWS or Azure Benefits Medical, RX, dental & vision insurance Paid sick time & company holidays Potential for discretionary incentive bonuses Parental leave and adoption support 401(k) retirement plan Life insurance options Tuition reimbursement and development opportunities Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.