Data Engineer, Cloud & Data Pipelines (Secret Clearance)

Makpar; Washington (District of Columbia); On-site; USD 100,000 - 140,000; Full time

Job summary

Makpar is seeking an experienced Data Engineer to support a federal client with cloud-based analytics and data-driven decision-making. You will design, build, and optimize data pipelines using Python, SQL, and modern ETL frameworks while collaborating with analysts and developers to deliver scalable, reliable data solutions through CI/CD and automation best practices.

The ideal candidate has 3–5 years of experience in data engineering, active Secret clearance, and proficiency with Databricks,

Qualifications

• Requires 3–5 years of professional data engineering experience.
• Active Secret clearance is mandatory.
• Bachelor's degree in a related field.

Responsibilities

• Build, test, and maintain data pipelines using Python.
• Design and optimize data structures, schemas, and ETL processes.
• Develop SQL queries, reports, and dashboards for business needs.

Skills

Python

SQL

Databricks

Apache Spark

CI/CD

Education

Bachelor's degree in Computer Science / Data Engineering / Information Systems

Tools

GitHub/GitLab

Airflow

Kafka

AWS

Azure

GCP

Job description

Makpar is seeking an experienced Data Engineer to support a federal client with cloud-based analytics and data-driven decision-making. You will design, build, and optimize data pipelines using Python, SQL, and modern ETL frameworks while collaborating with analysts and developers to deliver scalable, reliable data solutions through CI/CD and automation best practices.

The ideal candidate has 3–5 years of experience in data engineering, active Secret clearance, and proficiency with Databricks,