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Fortune-100 brand, hybrid location, mid-level generalist Data Engineer role attracts many qualified applicants.
Core data engineering skills (Python, SQL, AWS) transfer easily across industries.
Explicit 5–8 years plus mandatory Databricks, Python, AWS and SQL requirements create strict filtering.
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Lead design, development, and implementation of data products including data models, flows, and pipelines for analytical and operational use.
Develop and maintain scalable data pipelines for streaming and batch processes, ensuring data quality, accuracy, and availability in production.
Support CI/CD best practices and translate business data requirements into technical solutions within an agile environment.
5-8 years of experience in data management, software development, and data warehousing.
At least 2 years of experience with Databricks and Python.
3+ years of Cloud technology experience, specifically with AWS.
Strong SQL skills and experience troubleshooting with Oracle and MS SQL.
Experienced in full data engineering lifecycle including design, development, testing, deployment, and production support.
Proficient in translating business requirements into technical solutions within agile teams and using DevSecOps tools like JIRA, Jenkins, and GitHub.
Knowledgeable in secure software and systems engineering practices for data products, with a background in large-scale data environments.