Data Engineer: Databricks Lakehouse on GCP — Hybrid

Biorce; Austin (TX); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

MacBook provided

Comprehensive health coverage

Pet-friendly office

Job summary

Biorce, an Austin-based Healthtech, is seeking a Data Engineer to build scalable data pipelines on a Databricks Lakehouse running on Google Cloud. You will collaborate with data scientists and AI engineers to operationalize data for analytics and ML.

The role emphasizes Delta Lake modeling, dbt transformations, governance via Unity Catalog, and cost-efficient, compliant data operations. Hybrid work in Austin with growth in AI platforms.

Qualifications

• 3+ years of professional experience in Data Engineering or related roles.
• Hands-on experience with the Databricks Lakehouse platform (Delta Lake, Spark/PySpark, Databricks Workflows, Unity Catalog).
• Strong SQL and Python for data transformation and automation.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines on Databricks.
• Model data in Delta Lake architecture and build dbt transformations.
• Ingest data from diverse sources into the Lakehouse.
• Collaborate with data scientists to enable model training and inference data flows.
• Ensure data quality, lineage, and governance across systems.
• Optimize SQL/Python/PySpark transforms for performance.

Skills

SQL

Python

Databricks

GCP

Spark/PySpark

Education

Bachelor's degree in CS/Engineering

Master's degree in CS/Engineering

Tools

dbt

Terraform

Kubernetes

Airflow

Job description

Biorce, an Austin-based Healthtech, is seeking a Data Engineer to build scalable data pipelines on a Databricks Lakehouse running on Google Cloud. You will collaborate with data scientists and AI engineers to operationalize data for analytics and ML.

The role emphasizes Delta Lake modeling, dbt transformations, governance via Unity Catalog, and cost-efficient, compliant data operations. Hybrid work in Austin with growth in AI platforms.