Start searching
Back to Jobs
EmployeeTechnology

Data Engineer with Security Clearance

Data MachinesReston, VA🇺🇸United States

Why this role stands out

You'll thrive as a Data Engineer at Data Machines, building impactful data solutions for critical missions while gaining experience with cutting-edge technologies. With a competitive salary range of $80,000-$230,000+, this on-site role in Reston, VA offers significant career growth for motivated individuals with a TS clearance and SCI eligibility. Apply now to contribute to data-driven innovation!

Quick overview

Salary$80k - $230k/yr
SeniorityMid Senior
Employment typeEmployee
Work modeOn Site
LocationReston, VA, United States
DockerSQLGitETLAirflowApacheData PipelineJupyterKafkaPythonPostgreSQLData Analysis

Job description

Location: Reston, VA Clearance Requirement: TS w/ SCI Eligibility Salary Range: $80,000-$230,000+ Job Description and Responsibilities: Come join the future of data-driven decision making! At Data Machines we leverage data analytics, DevSecOps, machine intelligence, and data science to engineer solutions for our Federal government, defense, and commercial sponsors to solve real-world, critical mission problems. Data Machines is looking for a motivated and detail-oriented Data Engineer to join our growing Data Engineering team.

This is an exciting opportunity for someone early in their career to gain hands-on experience with modern data technologies, contribute to the development of data pipelines, and help drive data-driven decision-making across the organization. This position is full-time on site in Reston, VA.

Key Responsibilities

  • Assist in the design, development, and maintenance of scalable data pipelines and ETL processes
  • Work with structured and unstructured data from various sources to ingest, clean, transform, and store in appropriate formats
  • Support the creation and optimization of data models in data warehouses (e.g., Postgres)
  • Monitor data pipeline performance and troubleshoot issues as needed
  • Collaborate with data analysts, data scientists, and software engineers to understand data needs
  • Ensure data quality, integrity, and consistency across all data systems
  • Maintain documentation for data processes and pipelines
  • Learn and adapt to new tools, technologies, and best practices in data engineering
Minimum Qualifications:
  • Active TS Clearance with SCI Eligibility
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
  • Proficiency in SQL and at least one programming language (e.g., Python)
  • Familiarity with relational databases and data warehousing concepts
  • Understanding of ETL concepts and tools
  • Exposure to workflow orchestration tools like Apache Airflow, NiFi and Kafka
  • Strong analytical and problem-solving skills
  • Excellent communication and teamwork abilities
  • Eagerness to learn and grow in a fast-paced environment
  • Experience in Jupyter Notebooks, PostgreSQL
  • Experience with version control systems (e.g., Git)
Desired Qualifications:
  • Knowledge of data lake technologies and big data tools (e.g., Spark)
  • Familiarity with containerization tools like Docker

Similar jobs

Apply