Senior Data Platform Engineer - Databricks & ML Pipelines

DigiCert; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Generous time off

Top shelf benefits

Education support

Wellness support

Job summary

DigiCert is looking for a Senior Data Platform Engineer to design, build, and operate foundational data and ML infrastructure. You will work at the intersection of data engineering and ML platform, ensuring reliability and scalability for data scientists and analysts.

With expertise in Databricks and hands-on experience building ML pipelines, you will partner closely with cross-functional teams, contributing to decisions that shape the long-term data platform roadmap.

Qualifications

• 6+ years of experience in data engineering, data platform, or ML engineering roles.
• Strong proficiency in Python and SQL.
• Hands-on experience building production-grade data pipelines.

Responsibilities

• Design, build, and maintain scalable data and ML pipelines using Python and SQL.
• Own and evolve core platform infrastructure on Databricks.
• Collaborate with data scientists to operationalize models.

Skills

Data engineering

Python

SQL

Databricks

ML pipelines

Cloud platforms

Git

CI/CD practices

Tools

Delta Lake

Unity Catalog

Spark

PySpark

MLflow

Job description

DigiCert is looking for a Senior Data Platform Engineer to design, build, and operate foundational data and ML infrastructure. You will work at the intersection of data engineering and ML platform, ensuring reliability and scalability for data scientists and analysts.

With expertise in Databricks and hands-on experience building ML pipelines, you will partner closely with cross-functional teams, contributing to decisions that shape the long-term data platform roadmap.