Penn Foster
Data Engineer
Remote Data Engineering role with clear candidate location fit.
PostedJul 11, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
Data Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Essential Job Functions:
- Developing Python, SQL, and PySpark based applications and data flows in Databricks
- Participating in code reviews
- Estimating the level of effort for assigned tasks and adhering to schedules
- Worked in Agile development processes (Kanban)
- Be a complete team player
- Comfortable working in a fluid constantly changing environment
- Strong sense of ownership for all work
Knowledge, Skills, Abilities:
- 5+ years of Data Engineering experience
- 5+ years of SQL
- 3+ years of Python and Spark
- Ability to learn and absorb existing and new data structures
- Jira and Git exposure
- Experience working in a cloud environment (Azure preferred)
- Databricks exposure is a huge plus
- Tableau experience is a plus
- ML Ops experience is a plus
- Familiarity with Agile and Iterative Development (Kanban and SCRUM)
- Excellent interpersonal and communication skills (written and verbal)
- Ability to work independently and in a group
- Self-motivated, analytical, and independent problem-solver with the ability to assess situations and drive solutions efficiently.
- Creativity
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