ML Data Engineer — Snowflake Data Platform Builder

Selby Jennings; Bethesda (MD); On-site; USD 110,000 - 140,000; Full time

Job summary

Selby Jennings is seeking a hands-on Machine Learning Data Engineer to design and build a production-grade, Snowflake-centric data platform. In this builder role, you'll own end-to-end data pipelines and collaborate with various stakeholders to deliver reliable ML-ready datasets.

The ideal candidate has 5+ years of experience in data engineering, strong Snowflake skills, and proficiency in Python and SQL. You will play a pivotal role in supporting analytics and machine-learning initiatives.

Qualifications

• 5+ years’ experience in data engineering or ML data engineering roles.
• Strong, hands-on Snowflake experience.
• Advanced Python and SQL skills.
• Experience with data modelling for analytics and ML use cases.
• Familiarity with orchestration tools like Airflow or Dagster.
• Experience working in production, high-accountability environments.
• Strong communicator, comfortable working cross-functionally.

Responsibilities

• Design, build, and operate scalable data pipelines ingesting data from internal systems and APIs.
• Own and evolve a Snowflake-based warehouse/lakehouse.
• Implement ELT processes for trusted datasets.
• Build and maintain ML-ready datasets and feature pipelines.
• Support batch and near-real-time data workflows.
• Ensure data quality and reliability.
• Apply best practices around data governance and documentation.
• Partner with analytics and business teams to translate requirements.
• Continuously improve performance and cost efficiency.

Job description

Selby Jennings is seeking a hands-on Machine Learning Data Engineer to design and build a production-grade, Snowflake-centric data platform. In this builder role, you'll own end-to-end data pipelines and collaborate with various stakeholders to deliver reliable ML-ready datasets.

The ideal candidate has 5+ years of experience in data engineering, strong Snowflake skills, and proficiency in Python and SQL. You will play a pivotal role in supporting analytics and machine-learning initiatives.