Senior Data & ML Platform Engineer

Straddle; Broomfield (CO); Hybrid; USD 117,000 - 143,000; Full time

Benefits offered by this job

Flexible Work Environment

Equity Ownership

Unlimited PTO

Health & Wellness Coverage

Paid Parental Leave

Professional Development

Home Office & Equipment Stipend

Team Retreats

Autonomy & Ownership

Mission-Driven Work

Job summary

A fintech company in Broomfield is looking for a Senior/Staff ML/Data Platform Engineer to lead the design and implementation of a machine learning platform. The role involves building scalable data pipelines and deploying models in real-time environments. Candidates should have over 5 years of experience in data or ML engineering, strong skills in R/Python, and familiarity with cloud platforms like Azure. The position offers hybrid work options, equity ownership, and a culture that prioritizes speed and ownership.

Qualifications

• 5+ years in data engineering, ML engineering, or related roles.
• Strong experience building production-grade data pipelines (ETL/ELT).
• Proficiency in R/Python and SQL.
• Experience with Databricks and Apache Spark.
• Experience deploying ML models into production systems.
• Familiarity with CI/CD, containerization (Docker), and DevOps practices.

Responsibilities

• Design and build scalable data pipelines for ingesting and processing data.
• Architect and implement a Databricks-based lakehouse using Delta Lake.
• Deploy machine learning models in batch and real-time environments.
• Continuously improve system performance, scalability, and reliability.

Skills

Data engineering

ML engineering

Production-grade data pipelines

R/Python

SQL

Databricks

Apache Spark

Cloud platforms

CI/CD

Containerization (Docker)

Tools

MLflow

Kubeflow

Vertex AI

Job description

A fintech company in Broomfield is looking for a Senior/Staff ML/Data Platform Engineer to lead the design and implementation of a machine learning platform. The role involves building scalable data pipelines and deploying models in real-time environments. Candidates should have over 5 years of experience in data or ML engineering, strong skills in R/Python, and familiarity with cloud platforms like Azure. The position offers hybrid work options, equity ownership, and a culture that prioritizes speed and ownership.