Associate Data Engineer (Remote, US)

Sayari, headquartered in Washington, D.C., is a leading provider of corporate and trade data solutions, offering the largest commercially available collection of global ownership and trade activity data. As an Associate Data Engineer, you'll join a dynamic team focused on building and maintaining the data infrastructure that powers Sayari's graph-based products.

The role involves working directly with ETL pipelines, entity resolution processes, and risk information calculations, making it perfect for someone starting their career in data engineering. You'll collaborate closely with both Product and Software Engineering teams to enhance and maintain the graph that underlies Sayari's products.

The position offers an excellent opportunity for growth, with exposure to modern technologies like Python, SQL, cloud platforms, and potentially Kubernetes. The company culture emphasizes collaboration, continuous learning, and innovation, making it an ideal environment for professional development.

What makes this role particularly attractive is the combination of technical challenges and real-world impact. You'll be working with hundreds of millions of corporate, legal, and trade records, helping to enhance visibility into global commercial and financial networks. The company's solutions are used by thousands of analysts across 35+ countries, giving your work significant reach and importance.

The compensation package is competitive, starting at $85,000-$95,000, with additional benefits including fully paid medical, dental, and vision insurance, generous PTO (18 days plus 10 sick days), 401k matching, and parental leave. The remote work arrangement offers flexibility while still maintaining a collaborative and positive culture.

Sayari strongly values diversity and inclusion, actively encouraging applications from candidates of all backgrounds. The company's commitment to using open data for enhancing global commercial transparency, combined with its supportive and high-performing team environment, makes this an excellent opportunity for someone looking to build a career in data engineering.