Junior 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 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)

* 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

Employee