Databricks Data Engineer: Cloud Pipelines & AI

Steampunk, Inc.; McLean (VA); On-site; USD 110,000 - 160,000; Full time

Job summary

Steampunk, Inc. is seeking a seasoned Data Engineer to build enterprise data platforms and pipelines in Databricks, partnering with clients and internal teams to deliver scalable solutions.

You will help migrate data with performance and reliability focus while enabling analytics across departments. The ideal candidate has 8+ years of data engineering experience, strong SQL and PySpark/Python, and cloud skills (AWS preferred, Azure/GCP).

Qualifications

• Bachelor's degree and 8+ years of experience; OR
• Masters degree and 6+ years of experience; OR
• Associate's degree and 10+ years of experience; OR
• No degree and 12+ years of experience.

Responsibilities

• Lead and architect migrations of data using Databricks with focus on performance, reliability, and scalability.
• Assess and understand ETL jobs, workflows, data marts, BI tools, and reports.
• Address technical inquiries concerning customization, integration, enterprise architecture and general feature/functionality of data products.
• Experience working with database/data warehouse/data mart solutions in cloud (Preferably AWS; alternatively Azure, GCP).
• Key must have skill sets – Databricks, SQL, PySpark / Python, AWS.
• Support an Agile software development lifecycle
• Contribute to the growth of our AI & Data Exploitation Practice.

Skills

Databricks

SQL

PySpark / Python

AWS

Data pipelines

Airflow

Education

Bachelor's degree or higher

Master's degree

Associate's degree

No degree

Tools

Databricks

Apache Spark

Delta Lake

Airflow

Step Functions

Informatica EDC

Unity Catalog

Purview

Job description

Steampunk, Inc. is seeking a seasoned Data Engineer to build enterprise data platforms and pipelines in Databricks, partnering with clients and internal teams to deliver scalable solutions.

You will help migrate data with performance and reliability focus while enabling analytics across departments. The ideal candidate has 8+ years of data engineering experience, strong SQL and PySpark/Python, and cloud skills (AWS preferred, Azure/GCP).