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Role Snapshot
Join Penn Foster Group as a Data Engineer to build and maintain data processes within a Databricks environment, playing a critical role in revolutionizing the company's data capabilities. This position contributes to Penn Foster's mission of improving people's lives through accessible education and training.
Key Responsibilities: Develop Python, SQL, and PySpark-based applications and data flows in Databricks while participating in code reviews and managing MLOps functions for the machine learning platform. Estimate effort levels, adhere to schedules, and demonstrate complete teamwork in an Agile (Kanban) development environment.
Skills & Tools: Proficiency in SQL, Python, Spark, Databricks, and cloud environments (Azure preferred), with strong experience in Git, Jira, and Agile methodologies. Excellent interpersonal and communication skills, analytical thinking, problem-solving abilities, and self-motivation are essential.
Qualifications: 5+ years of data engineering and SQL experience with 3+ years in Python and Spark; familiarity with Azure cloud environments is required. Databricks exposure, Tableau experience, and MLOps experience are considered valuable additions.
Location: United States
Compensation: $95K–$130K/yr
Job Description
The full job description is available on Penn Foster Group's website.
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