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Popular Data Engineer title, metro location, and mid-level experience drive high competition.
Data engineering skills (Python, AWS, ETL) are broadly transferable across industries.
Explicit 7-year minimum plus mandatory AWS, Python, Terraform and CI/CD skills enforce high strictness.
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Architect and develop high-performance, real-time data pipelines supporting autonomous AI systems in complex enterprise environments.
Implement, unit-test, document, and integrate data engineering components based on design and functional specifications.
Estimate development work, guide feature and technology choices, and build CI/CD pipelines for data infrastructure deployment.
Minimum 7 years of relevant data engineering experience.
Strong Python programming skills for building and maintaining data pipelines.
Hands-on experience with AWS services including IAM, S3, Glue, Lambda, RDS, Firehose, EventBridge, and CloudWatch.
Experience with CI/CD tools such as Jenkins and GitLab; knowledge of Terraform and infrastructure security best practices.
Experienced in designing and delivering end-to-end data pipeline solutions with ownership and independent delivery capability.
Comfortable working in fast-paced, innovation-driven environments involving cloud-based managed services and distributed data systems.
Strong problem-solving mindset with ability to troubleshoot and optimize data infrastructure, including knowledge of cloud cost and performance tuning.