Junior Data Engineer

Assist with building, testing, and maintaining data pipelines and integrations under the guidance of senior engineers.

Write and maintain scripts to automate routine data-processing and engineering tasks.

Support the development of reusable data solutions that meet project and customer requirements.

Help configure and maintain data workflows across development, test, and production environments.

Monitor assigned workflows and report data-processing or reliability issues to senior engineers.

Follow established procedures for data storage, backup, and recovery.

Write and run unit tests, integration tests, and data validation checks under the guidance of senior engineers.

Test data systems and solutions against established requirements, and document results and issues.

Investigate data-processing errors and software defects, help resolve them, and escalate issues when needed.

Maintain testing and troubleshooting documentation, including test cases, results, and known issues.

Assist with configuring and maintaining data engineering tools and development environments under the guidance of senior engineers.

Monitor assigned data-platform services and report operational issues for investigation.

Support testing and deployment of data solutions by following established procedures.

Follow organizational requirements for system access, configuration, and security, and escalate issues that require administrative changes.

Collaborate with senior data engineers, developers, IT personnel, and project teams to support technical work and customer deliverables.

Follow established engineering standards, development practices, security requirements, and project guidelines.

Participate in code reviews, technical discussions, and knowledge-sharing activities to build skills and contribute to team practices.

Identify and suggest improvements to data workflows, repetitive processes, and system reliability.

Perform other related duties as assigned.

Bachelor's degree in Computer Science, Data Engineering, Information Technology, Software Engineering, or Associates degree plus two years' experience.

0-2 years of experience in data engineering, software development, database management, and/or data analytics. Relevant internships, academic projects, and practical training may be considered.

Foundational knowledge of programming or scripting languages such as Python, SQL, Java, or similar technologies.

Basic understanding of databases, data structures, data processing concepts, and software development practices.

Familiarity with data validation, software testing, troubleshooting, and debugging techniques.

Understanding of operating systems, software configuration, and basic networking concepts.

Strong analytical and problem-solving skills, with attention to detail and a commitment to data accuracy.

Ability to follow technical guidance, document work clearly, and collaborate effectively within a team.

Ability to learn new tools, technologies, and processes in a dynamic project environment.

Must live in the Continental US.

Be either a US citizen or Permanent Resident due to the work we do. 

Experience supporting data engineering solutions in a government contracting, healthcare CMS (Center of Medicare & Medicaid) or in the health industry, or other regulated environment.

Exposure to ETL/ELT processes, data pipelines, APIs, and data integration techniques.

Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.

Exposure to version control tools such as Git and collaborative software development workflows.

Familiarity with automated testing, continuous integration/continuous delivery (CI/CD), and infrastructure automation.

Exposure to data security, access controls, backup procedures, and data governance practices.

Qualified individuals living in HUBZone-certified areas are strongly encouraged to apply. To find out if you live in a HUBZone go to: https://maps.certify.sba.gov/hubzone/map#center=44.722800,-103.249700&zoom=4.