Data Pipeline Developer with IRS MBI Clearance - Hybrid role in Washington, DC

Booker DiMaio, LLC; Washington (District of Columbia); Hybrid; USD 85,000 - 125,000; Full time

Job summary

A leading company is seeking a Data Pipeline Developer responsible for building, optimizing, and maintaining data pipelines for an enterprise data platform. This hybrid role requires significant experience with Databricks and proficiency in Python and SQL, aiming to enhance data handling capabilities for federal projects.

Qualifications

• Demonstrated development experience with at least two projects involving Databricks.
• Strong proficiency in Python, SQL, and ETL/ELT tools.
• Experience with AWS-based data services preferred.

Responsibilities

• Design and implement ETL/ELT pipelines to ingest, transform, and load data into Databricks.
• Ensure data pipeline performance, reliability, and scalability.
• Collaborate with engineering and analytics teams to support data requirements.

Skills

Python

SQL

ETL/ELT tools

Tools

Databricks

Informatica

Job description

This job requires IRS MBI clearance, we won't be able to consider applicants who do not have this.

This is a hybrid role with 3 days/week onsite in Washington, DC anticipated and 2 days/week working from home.

Position Summary:
The Data Pipeline Developer will be responsible for building, optimizing, and maintaining data pipelines for the IRS Enterprise Data Platform using tools such as Databricks and Informatica.
Key Responsibilities:

• Design and implement ETL/ELT pipelines to ingest, transform, and load data into Databricks.
• Ensure data pipeline performance, reliability, and scalability.
• Collaborate with engineering and analytics teams to support data requirements.
• Participate in system testing and performance tuning.

Qualifications:

• Demonstrated development experience with at least two (2) projects of similar size and scope involving Databricks.
• Strong proficiency in Python, SQL, and ETL/ELT tools.
• Experience with AWS-based data services preferred.
• Familiarity with federal data environments is advantageous.