remote
Data Engineer - Able
Data Engineer
Data Engineer focused on building scalable data pipelines and analytics solutions using Python, SQL, and AWS services to support AI-driven product development.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines that ingest, transform, and store large volumes of structured and unstructured data.
- Implement ETL processes using Python and SQL, ensuring data quality, consistency, and performance across environments.
- Leverage AWS services (S3, Redshift, Glue, Lambda) to build scalable, cost‑effective data architectures.
- Collaborate with data scientists and product teams to provide clean, ready‑to‑use datasets for AI model training and analytics.
- Monitor pipeline health, troubleshoot issues, and optimize for latency and throughput.
Requirements
- 3+ years of experience in data engineering or related roles.
- Experience with version control (Git) and CI/CD pipelines for data workflows.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.