Hybrid Senior Data Engineer - Databricks & Spark
Listed on 2026-10-06
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IT/Tech
Data Engineering
84.51 is looking for a Senior Data Engineer to build solutions that manage big data for data scientists and products. The role demands a hybrid work model, requiring presence in the office three days a week. Ideal candidates should have over 4 years of experience in Data Development and strong skills in Databricks, Hadoop, and PySpark.
Key responsibilities include developing cloud solutions, mentoring juniors, and driving improvements in data practices. A Bachelor’s degree in a relevant field is required.
The Hybrid Senior Data Engineer
- Databricks & Spark position in the IT & Technology field is open for applications.
We are looking to fill the Hybrid Senior Data Engineer
- Databricks & Spark position in Deerfield, IL, United States.
The Hybrid Senior Data Engineer
- Databricks & Spark role is now open for applications in Deerfield, IL, United States.
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