Today
Top Secret
Unspecified
Unspecified
IT - Database
Reston, VA (On-Site/Office)
Location: Reston, VA
Clearance Requirement: TS w/ SCI Eligibility
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 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:
Minimum Qualifications:
Desired Qualifications:
Clearance Requirement: TS w/ SCI Eligibility
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 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 (e.g., Postgres, Elastic)
- 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, Java, Scala)
- 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 with version control systems (e.g., Git)
Desired Qualifications:
- Knowledge of data lake technologies and big data tools (e.g., Spark, Hadoop)
- Familiarity with containerization tools like Docker
group id: 91112404
