Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The role requires 7+ years of industry experience, with at least 5 years in a data engineering or data-centric software engineering role.
Candidates need to be fluent in data manipulation and SQL, with strong knowledge of Spark and Python (including libraries like pandas and polars). Experience building scalable data pipelines using Spark and DBT is also required.
Yes, the role involves participating in an occasional on-call rotation with 12-hour shifts, approximately 1-2 per month.
A BSc or MSc in Computer Science or a related field is required.
A strong candidate has a track record of building and operating scalable data pipelines, a desire to understand business problems, and the ability to own data needs from ingestion to analysis while mentoring others.
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