Junior Data Engineer

7 days ago

Reston, VA, United States ClearanceJobs Full time
Junior Data Engineer

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 Junior 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
  • 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

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