Senior Databricks Data Engineer – AWS, ETL & Platform Architect

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

Job summary

Steampunk, Inc. is seeking a seasoned Data Engineer to design and implement enterprise-grade data platforms, pipelines, and services using Databricks.

You will collaborate with clients, translate complex data needs, and contribute to AI and data exploitation initiatives. Responsibilities include migrating data with Databricks, optimizing ETL workflows, and ensuring scalable, reliable solutions on AWS (S3, EC2).

Qualifications

• Experience in data engineering and building enterprise-grade data platforms.
• Strong knowledge of Databricks, Spark, and data lakehouse concepts.
• Experience with cloud data services (AWS preferred).
• Ability to work with relational databases and complex SQL.

Responsibilities

• Lead and architect migration of data using Databricks with focus on performance, reliability, and scalability.
• Assess and understand ETL jobs, workflows, data marts, BI tools, and reports.
• Address inquiries concerning customization, integration, enterprise architecture, and data product functionality.
• Experience with database/data warehouse solutions in cloud (AWS preferred).
• Contribute to SDLC, CI/CD, and agile environment.
• Support growth of AI & Data Exploitation Practice.

Skills

Databricks

SQL

PySpark/Python

AWS

Education

Bachelor’s degree

Tools

Databricks Workflows

Airflow

Step Functions

Delta Lake

Job description

Steampunk, Inc. is seeking a seasoned Data Engineer to design and implement enterprise-grade data platforms, pipelines, and services using Databricks.

You will collaborate with clients, translate complex data needs, and contribute to AI and data exploitation initiatives. Responsibilities include migrating data with Databricks, optimizing ETL workflows, and ensuring scalable, reliable solutions on AWS (S3, EC2).