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# Data Engineer

- **Company:** Makpar Corporation
- **Location:** Washington, DC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Cyber Security, Information Systems, Databases, Continuous Delivery, Continuous Integration, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Security, Data Structures, Data Systems, Github, Internet Security, Python (Programming Language), Systems Development Life Cycle, Software Engineering, SQL Databases, Scripting, Apache Spark, Gitlab, SC Clearance, Information Technology, AWS Glue, Apache Kafka, Data Management, Databricks
- **Published:** August 14, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-washington-mn--ff923725-53de-47c2-9761-b33eaf44bfef

## About the Role

* Active Secret clearance (mandatory requirement).
 * Local Residency in Maryland, Virginia or Washington, DC.
 * Bachelor's degree in computer science, Data Engineering, Information Systems, or a related field.
 * 3-5 years of professional experience in data engineering.
 * Experience with Databricks, Apache Spark, and SQL.
 * Proficiency in Python and SQL.
 * Experience with ETL tools such as Airflow, Kafka, or AWS Glue.
 * Familiarity with GitHub/GitLab and CI/CD pipelines.
 * Experience working with cloud platforms such as AWS, Azure, or GCP.
 * Strong analytical, troubleshooting, and problem-solving skills.
 * Excellent communication and collaboration skills.

Clearance Requirement:

 * Active Secret clearance (mandatory requirement)., Amazon Web Services (AWS), Analysis Skills, Apache Spark, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Best Practices, Business Support, Cloud Computing, Communication Skills, Computer Science, Consulting, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Quality, Data Structures, Database Administration, Database Extract Transform and Load (ETL), Database Programming, Emerging Technology, Federal Government, GCP (Good Clinical Practices), GitHub, Government, Identify Issues, Information Technology & Information Systems, Information/Data Security (InfoSec), Internet Security, Microsoft Windows Azure, Problem Solving Skills, Python Programming/Scripting Language, Reporting Dashboards, SQL (Structured Query Language), Scalable System Development, Secret Clearance, Software Engineering, Team Player, Technical Delivery, Test Plan/Schedule, Testing

## Description

* Build, test, and maintain data pipelines using Python.
 * Design and optimize data structures, schemas, and ETL processes.
 * Develop SQL queries, reports, and dashboards to support business needs.
 * Manage database objects across development and testing environments.
 * Automate workflows using Databricks Workflows or Jobs API.
 * Integrate code into GitHub/GitLab and support CI/CD processes.
 * Troubleshoot data quality issues and perform data validation.
 * Collaborate with developers, analysts, and stakeholders to deliver reliable data solutions.


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