Data Engineering Manager
MachinifyPalo Alto, California, United States
Posted September 23, 2025
Full Time
About the Company
Machinify is an AI-driven healthcare technology company specializing in streamlining payment processes through advanced machine learning and data analytics. Leveraging deep domain expertise and large-scale data processing, Machinify offers solutions for payment integrity, subrogation, cost containment, and healthcare administration. The company's platform delivers real-time predictions and natural language processing to enhance efficiency and accuracy in the complex world of healthcare IT.
Job Description
Machinify is seeking a Data Engineering Manager to lead a high-performing team responsible for transforming raw data into actionable datasets. The role involves designing and optimizing production pipelines, mentoring engineers, and collaborating with cross-functional teams to ensure data accuracy and impact. This is a high-visibility role focusing on strategic impact, customer onboarding, and team scaling.
Requirements
- Degree in Computer Science, Engineering, or related field.
- 3+ years of combined technical leadership and engineering management experience, preferably in a startup.
- 10+ years of experience in data engineering, including building and maintaining production pipelines.
- Strong expertise in Python, Spark, SQL, and Airflow.
- Hands-on experience in pipeline architecture, code review, and mentoring junior engineers.
- Deep understanding of distributed data processing, pipeline orchestration, and performance tuning.
- Exceptional ability to manage priorities, communicate clearly, and work cross-functionally.
Benefits
- High Impact
- Ownership & Growth
- Cross-Functional Exposure
- Remote Flexibility
- Early Builder Advantage
