Data Pipeline Engineer in , United States

Diagnose, resolve, and proactively prevent issues encountered in the field. Collaborate with internal stakeholders to increase the scalability and reliability of Foundry workflows for our customers. Identify recurring pain points and inefficiencies, and take initiative to automate or streamline workflows. Advocate for and implement product enhancements based on insights gleamed from the field. Create clear, actionable documentation and share best practices to elevate team and company-wide reliability.

Proficiency in Python, Java, and SQL. Familiarity with parallel data processing and Spark job optimization. Strong organizational skills and attention to detail, with the ability to prioritize effectively. Resourcefulness and creativity in fast-paced dynamic environments. Ability to work independently and collaboratively to solve ambiguous technical and operational challenges. Experience with root cause analysis and documenting solutions for broader impact. Enthusiasm for hands-on problem solving, continuous improvement, and knowledge sharing.