Manufacturing Data Engineer - Databricks Lakehouse Onsite

Ursus, Inc.; Foster City (CA); On-site; USD 94,000 - 107,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Commuter benefits

401K with company match

Job summary

Ursus, Inc. seeks a Manufacturing Data Engineer to design, build, and maintain data pipelines powering our Manufacturing Intelligence lakehouse at our Foster City, CA headquarters.

The role focuses on hands-on engineering with Databricks, Delta Lake, and dbt, delivering trusted data for KPIs and AI use cases. Responsibilities cover ingestion, modeling, quality, and CI/CD, with migration from Redshift to Databricks and close collaboration with data analytics, manufacturing ops, and platform

Qualifications

• Bachelor's degree in computer science, information systems, engineering, or related field.
• 6+ years in data engineering or related field.
• Strong SQL and Python (PySpark) proficiency.
• Production experience with Databricks, Delta Lake, and dbt.

Responsibilities

• Build batch and streaming ingestion into Delta Lake using Auto Loader and Lakeflow pipelines.
• Design and maintain bronze, silver, and gold data layers per MOPS standards.
• Create incremental dbt models on Databricks with MERGE/upsert patterns and SCD Type 2.
• Model manufacturing data to support KPIs, dashboards, and analytics.
• Process large, semi-structured data (JSON) with PySpark and Databricks SQL.
• Tune pipelines for cost and performance using partitioning, OPTIMIZE, VACUUM.

Skills

Strong SQL

Python (PySpark)

Databricks

dbt

Dimensional modeling

CDC loading

GitHub Actions

Terraform

AWS data services

S3

IAM

DMS

Kinesis

Education

Bachelor's degree in CS/IS/Engineering

Equivalent practical experience

Tools

Delta Lake

Unity Catalog

dbt

Databricks Workflows

Airflow

GitHub Actions

Job description

Ursus, Inc. seeks a Manufacturing Data Engineer to design, build, and maintain data pipelines powering our Manufacturing Intelligence lakehouse at our Foster City, CA headquarters.

The role focuses on hands-on engineering with Databricks, Delta Lake, and dbt, delivering trusted data for KPIs and AI use cases. Responsibilities cover ingestion, modeling, quality, and CI/CD, with migration from Redshift to Databricks and close collaboration with data analytics, manufacturing ops, and platform