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accountingpayrollcompensation
Data Science4 months agoHybrid
Epsilon
Senior Data Engineer
databricksawssparksqlpythonlinuxkafkaairflowdockerkubernetesetleltcloud data platformdata engineeringdistributed systemsdata pipelinesad-tech
Key details
Salary
$89K – $165K
Employment type
Full-time
Seniority
Senior
Years experience
5-10
Location
Chicago, United States
Full job description
Epsilon is seeking a Senior Data Engineer to build and operate cloud-native data pipelines and analytics systems using Databricks, AWS, Spark, SQL, and Python. The role involves troubleshooting production issues, optimizing performance, advancing platform scalability and reliability, collaborating with cross-functional teams, and driving continuous improvement in data engineering standards. Candidates should have 6-8 years of experience in data engineering or cloud data platform engineering, proficiency with Databricks, AWS, SQL, Python, Linux, and experience with Kafka, Airflow, Docker, and Kubernetes is a plus. The position is full-time, located in Chicago, Illinois. Salary range is USD $88,900 to $165,100 annually. Benefits include flexible time off, paid holidays, parental leave, health coverage, 401(k), tuition assistance, and more.
What you'll do
- Identify and resolve production issues, optimize performance, and address bottlenecks in data processing
- Design, build, and optimize cloud-native data pipelines using Databricks, Spark, SQL, and Python
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