Data Engineer with Security Clearance

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 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