Data Engineer jobs in Saint Clair County, IL
• The average pay for Data Engineer jobs in Saint Clair County, IL is $143K per year.
• Entry-level positions start at $100K per year, while the most experienced workers can earn up to $178K per year.
• Top skills include SQL, EXCELLENT COMMUNICATION SKILLS, PROJECT MANAGEMENT, SHELL SCRIPTING and DATA GOVERNANCE.
• Entry-level positions start at $100K per year, while the most experienced workers can earn up to $178K per year.
• Top skills include SQL, EXCELLENT COMMUNICATION SKILLS, PROJECT MANAGEMENT, SHELL SCRIPTING and DATA GOVERNANCE.
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Posted 1d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Develop high quality, secure and scalable data pipelines using Spark, Scala/Python on Hadoop or object storage.
- Drive automation and efficiency in data ingestion, data movement and data access workflows.
- Collaborate with business stakeholders to build scalable products quickly.
Posted 10d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Design, develop, and maintain backend services and data pipelines using Scala, Python, and Java.
- Build and optimize batch and streaming workloads on Cloudera Data Platform (CDP) using Spark.
- Create clear technical documentation and participate in Agile/Scrum ceremonies.
Posted 23d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Design and build scalable data platforms and pipelines.
- Collaborate with cross-functional teams to deliver data solutions.
- Ensure data security and compliance while optimizing performance.
Posted 35d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $160k
Pay information not disclosed by advertiser
Key points we found
- Lead and mentor development teams in the execution of CDIP build, deployment, and enhancement activities.
- Collaborate with internal architecture and leadership teams to ensure clear understanding of requirements and design intent.
- Drive engineering best practices, including code quality, testing standards, and operational excellence.