Data Engineer
Keystone, Boston, New York City, San Francisco, Washington D.C. +4
What you need
- 6+ years of experience in data engineering, data infrastructure, or software engineering roles.
- Deep proficiency in Python, SQL, and modern data stack tools (Airflow, dbt, Spark, Snowflake, BigQuery, or equivalent).
- Strong understanding of cloud architecture and Infrastructure as Code (Terraform, CloudFormation, or similar).
- Experience with version control, CI/CD workflows, and containerization (Docker, Kubernetes).
- Proven ability to architect and optimize large-scale data systems for performance, reliability, and reproducibility.
- Excellent communication skills with the ability to convey technical concepts to non-technical audiences.
- Demonstrated collaboration across disciplines and commitment to mentoring and technical excellence.
- Bachelor’s or advanced degree in Computer Science, Engineering, or related field.
Nice to have
- Prior experience at a consulting firm or matrix-based organization.