Data Engineer: Cloud Pipelines, Kafka & Spark

Unissant; Washington (District of Columbia); On-site; USD 90,000 - 120,000; Full time

Job summary

Unissant is seeking a talented Data Engineer in Washington, DC to support the Department of Homeland Security. The ideal candidate will excel in data pipeline development and data platform management, collaborating with the Statistical Tracking Unit.

Key responsibilities include designing robust data pipelines, managing cloud infrastructure, and supporting critical ICE reporting needs. Candidates should have a strong background in ETL processes and proficiency in SQL and Python.

Qualifications

• 3–10 years of experience in data engineering or related discipline.
• Expertise in data pipeline design using ETL and ELT.
• Proven experience with batch and streaming data processing.

Responsibilities

• Design and maintain robust data pipelines using ETL and ELT.
• Manage batch processing and streaming data workflows.
• Build and manage cloud data infrastructure on AWS, GCP, or Azure.

Skills

Data pipeline design

ETL and ELT methodologies

Apache Kafka

Apache Spark

Cloud data platforms

SQL

Python

R

Education

Bachelor's degree in Computer Science or related field

Master's degree in a relevant technical discipline

Tools

AWS

GCP

Azure

Databricks

Oracle OBIEE

UiPath

Job description

Unissant is seeking a talented Data Engineer in Washington, DC to support the Department of Homeland Security. The ideal candidate will excel in data pipeline development and data platform management, collaborating with the Statistical Tracking Unit.

Key responsibilities include designing robust data pipelines, managing cloud infrastructure, and supporting critical ICE reporting needs. Candidates should have a strong background in ETL processes and proficiency in SQL and Python.