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Performance Management Analytics Engineer - Empower AI Inc.
Data Engineer
Performance Management Analytics Engineer building scalable data pipelines and advanced analytics models on AWS to empower federal agencies with actionable workforce insights using Python, SQL, and machine learning techniques.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines in AWS (Glue, Redshift, S3) to ingest, transform, and store large-scale workforce data.
- Build and deploy predictive models and performance dashboards using Python, SQL, and ML libraries (scikit-learn, TensorFlow).
- Collaborate with data scientists and product teams to translate business requirements into analytical solutions and actionable insights.
- Ensure data quality, governance, and security compliance across all analytics workflows.
- Optimize query performance and cost-efficiency of cloud resources.
Requirements
- 5+ years of experience in data engineering or analytics roles within a cloud environment.
- Proficiency in Python, SQL, and AWS services (Glue, Redshift, S3, Lambda).
- Hands‑on experience with machine learning model development and deployment.
- Strong understanding of data modeling, ETL best practices, and performance tuning.
- Excellent communication skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonsqlawsmachine learning