Data Engineer

Makpar

$110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Active Secret clearance required
  • Bachelor's degree in Computer Science, Data Engineering, or related field
  • 3-5 years of professional data engineering experience
  • Proficient in Databricks, Apache Spark, and SQL
  • Strong skills in Python and SQL
  • Experience with ETL tools like Airflow, Kafka, or AWS Glue
  • Familiarity with GitHub/GitLab and CI/CD processes
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Excellent analytical and problem-solving skills
  • Strong communication and collaboration abilities
  • Residency in Washington, DC, Maryland, or Virginia

Responsibilities

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

Benefits

  • Flexible work schedules
  • Excellent training and career development opportunities
  • Generous compensation package
  • Outstanding benefits
  • Environment promoting collaboration, individuality, and curiosity
Full Job Description
Makpar has an exciting opportunity for an experienced Data Engineer to support a federal client in advancing enterprise-scale analytics and data-driven decision-making. The ideal candidate will design, build, and optimize cloud-based data pipelines using Python, SQL, and modern ETL frameworks while collaborating with analysts and developers to deliver scalable, reliable, and secure data solutions through CI/CD and automation best practices.

Key Responsibilities:
• 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.

Qualifications:
• Active Secret clearance (required).
• 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.
• Residency in Washington, DC, Maryland, or Virginia.

Clearance Requirement:

  • Active Secret clearance (mandatory requirement).


Benefits:

At Makpar Corporation we understand that we all need to balance work and life - that is why we have a great benefits package, excellent training and career development opportunities, flexible work schedules along with a generous compensation package. At Makpar, we believe in keeping our employees happy, healthy and engaged. We pride ourselves in providing outstanding benefits, creating environments where employees are encouraged to be themselves, collaborate, and be inquisitive in order to achieve goals.

Start your career today and be a part of something meaningful!

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