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Remote, generalist Data Engineer mid-level role across metros with common skills increases applicant competition.
Core data engineering and cloud skills are highly transferable across industries.
Requires specific cloud, IaC, and data stack skills but no explicit years, so moderate filter.
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Design, implement, document, and test high-performance data pipelines and infrastructure for autonomous AI systems.
Architect solutions and build CI/CD pipelines for data engineering components using Python, AWS services, and Terraform.
Provide work estimates, drive feature development, and ensure delivery of clean, well-tested code integrated into products.
Strong proficiency in Python programming for data pipeline development.
Experience building or supporting data pipelines with strong SQL and data modeling knowledge.
Hands-on experience with AWS services such as IAM, Glue, S3, Lambda, RDS, and CI/CD tools like Jenkins or GitLab.
Work Experience Required: Not explicitly mentioned in the JD.
Candidate capable of owning end-to-end data engineering solutions independently, from architecture to deployment.
Experienced in working with complex, real-time distributed data systems in cloud environments (AWS).
Familiarity with infrastructure as code (Terraform) and security best practices in cloud-based systems.