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Remote mid-level data engineer role with common skillset increases candidate density.
Core data engineering skills (Python, ETL, SQL) are broadly transferable across industries.
Explicit 3–5 years plus mandatory Python, ETL, and SQL skills enforce moderate screening.
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Design, develop, and maintain scalable ETL pipelines for data extraction, transformation, and loading.
Perform statistical analysis on structured and unstructured datasets to identify trends and business insights.
Optimize data pipelines and workflows for performance and scalability, troubleshoot issues, and document data solutions.
3–5 years of relevant experience in Data Engineering, Data Science, Analytics Engineering, or similar roles.
Strong hands-on experience with Python and ETL pipeline development.
Solid understanding of statistical analysis and strong SQL skills with experience working on large datasets.
Work Experience Required: 3–5 years.
Experienced with statistical analysis and data optimization in production data environments.
Skilled in developing reusable, maintainable Python scripts and troubleshooting pipeline failures independently.
Preferably has experience with SAS programming and cloud data platforms like AWS, Azure, or GCP.