Ascent Funding is seeking a Staff Data Engineer to join their team in a remote capacity based in California. This strategic role requires an experienced professional to design and optimize enterprise-scale data pipelines that support cross-functional teams and business-critical systems. The position combines hands-on technical expertise in Python, SQL, and AWS with the responsibility to drive best practices in data governance, efficiency, and automation.
The ideal candidate will build robust, scalable ETL/ELT workflows, maintain cloud-based infrastructure, and integrate machine learning models to deliver actionable insights. They will work with various database systems, including MS SQL, Postgres, MySQL, and DynamoDB, while ensuring optimal performance and reliability. The role involves close collaboration with analytics, product, and engineering teams to create reliable, AI-ready data solutions.
With a competitive salary of $180,502 per year and comprehensive benefits including health, dental, and vision coverage, this position offers an excellent opportunity for an experienced data engineer to make a significant impact. The remote-friendly work environment provides flexibility while maintaining a strong focus on professional development and a supportive, inclusive culture.
The role requires 7+ years of progressive experience in data engineering (or 5+ with a Master's degree) and deep expertise in AWS technologies, database management, and data pipeline optimization. This is an opportunity to influence the company's data strategy while working with cutting-edge technologies in a modern, flexible work environment.