Data Engineer
Job Summary
Focused on developing tools and operations to support data scientists and analysts, the full-time remote Data Engineer II will manage high volume data processing jobs and collaborate closely with team members to enhance system performance.
Key Responsibilities:
- Develop high volume data processing jobs across platforms such as Redshift, Athena, Spark, and Airflow
- Collaborate with Data Scientists to translate theoretical methodologies into practical products
- Identify and recommend improvements for system performance and process efficiency
Required Qualifications:
- Bachelor's degree in Computer Science or related field, or equivalent experience
- Strong understanding of programming concepts with experience in at least one OOP language (Python, Scala, Java)
- 3+ years of direct experience working with Python and high volume distributed data processing in Spark
- Strong working knowledge of SQL, databases (MySQL / Redshift / Athena), and data modeling
- Experience with AWS cloud services and event-driven architecture is a plus
Complete Job Description
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