Senior Databricks Lakehouse Engineer

Ethereum Technologies; Austin (TX); On-site; USD 130,000 - 185,000; Full time

Job summary

Ethereum Technologies seeks a Databricks Engineer to design, develop, and optimize scalable data engineering solutions using the Databricks Lakehouse Platform.

You will build robust data pipelines, process large datasets, and implement data transformation workflows to support enterprise analytics initiatives. Collaboration with data architects, analysts, and business teams is essential to deliver impactful analytics solutions.

Qualifications

• 5+ years of experience in data engineering or big data development.
• 3+ years of hands-on experience with Databricks and Apache Spark.
• Strong programming in Python, PySpark, and SQL.
• Understanding of distributed computing and data architecture.

Responsibilities

• Design, develop, and optimize scalable data engineering solutions using the Databricks Lakehouse Platform.
• Build robust data pipelines and process large datasets.
• Implement data transformation workflows and support analytics initiatives.
• Collaborate with data architects, analysts, and business teams to deliver analytics solutions.

Skills

Databricks Lakehouse

Python

PySpark

SQL

Spark

Delta Lake

ETL/ELT pipelines

Cloud platforms (Azure/AWS/GCP)

Education

Bachelor's degree in CS/IT/Data Engineering

Master's degree preferred

Databricks Data Engineer certification (advantage)

Tools

Databricks

Airflow

Unity Catalog

Git & CI/CD

Delta Live Tables

Spark SQL

Job description

Ethereum Technologies seeks a Databricks Engineer to design, develop, and optimize scalable data engineering solutions using the Databricks Lakehouse Platform.

You will build robust data pipelines, process large datasets, and implement data transformation workflows to support enterprise analytics initiatives. Collaboration with data architects, analysts, and business teams is essential to deliver impactful analytics solutions.