Junior Data Engineer

atElementRemoteUS flagUnited StatesFull-timeData EngineerJunior$75k – $95k/year

Posted 1 day ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in the development, testing, and maintenance of data pipelines and integrations under the guidance of senior engineers.

• Create and manage scripts to automate routine data-processing and engineering tasks.

• Provide support for reusable data solutions that fulfill project and customer requirements.

• Set up and maintain data workflows across development, testing, and production environments.

• Monitor workflows and report any issues related to data processing or reliability.

• Adhere to procedures for data storage, backup, and recovery.

• Write and execute unit tests, integration tests, and data validation checks.

• Evaluate data systems against requirements and document results and issues.

• Investigate data-processing errors and software defects, assist in their resolution, and escalate as necessary.

• Maintain documentation for testing and troubleshooting.

• Configure and maintain data engineering tools and development environments.

• Oversee data-platform services and report any operational issues.

• Assist in the testing and deployment of data solutions.

• Comply with requirements for system access, configuration, and security.

• Collaborate with senior data engineers, developers, IT personnel, and project teams on technical tasks and customer deliverables.

• Adhere to engineering standards, development practices, security requirements, and project guidelines.

• Participate in code reviews, technical discussions, and knowledge-sharing sessions.

• Propose enhancements to data workflows, repetitive processes, and system reliability.

• Perform additional related duties as assigned.


⛳️ Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, Software Engineering, or an associate degree with two years of relevant 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.

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

• Fundamental 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, attention to detail, and a commitment to data accuracy.

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

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

• Must reside in the Continental US.

• Must be either a US citizen or Permanent Resident.

• Must successfully pass a background check, background investigation, and standard onboarding process.

• Depending on the agency, may need to acquire or hold a Public Trust designation or security clearance.

• Preferred: experience in government contracting, healthcare/CMS, or another regulated environment.

• Preferred: familiarity with ETL/ELT processes, data pipelines, APIs, and data integration techniques.

• Preferred: exposure to AWS, Microsoft Azure, or Google Cloud Platform.

• Preferred: experience with Git and collaborative software development workflows.

• Preferred: familiarity with automated testing, CI/CD, and infrastructure automation.

• Preferred: exposure to data security, access controls, backup procedures, and data governance practices.

• HUBZone-qualified applicants are highly encouraged to apply.


🏝️ Benefits

• Health care.

• Dental insurance.

• Vision insurance.

• Life insurance.

• 401(k).

• Paid time off, including PTO, holidays, and any other paid leave mandated by law.

• Remote-first work arrangement.

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