Data Pipeline Engineer (Python, Palantir) || Remote

• Develop a deep understanding of Palantir's products and operational processes.
• Go on-call, responding quickly and effectively to mission-critical incidents.
• 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.

Note: While active work is not required on weekends or outside business hours, you must be available to respond to critical outages during assigned on-call weeks.

What We Value

• 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.