Cloud Data Engineer - Clearance Required

About the role

The role is focused on helping integrate data sources, services, pipelines, and applications into secure, operational cloud environments that support advanced analytics, automation, and AI-enabled mission capabilities. Candidates should be comfortable working across data engineering, ETL, API integration, software development, distributed services, and cloud-based platform teams.

Responsibilities

• Design, develop, test, and support cloud-based data engineering capabilities.
• Build, maintain, and troubleshoot ETL pipelines and data workflows.
• Integrate data sources, APIs, applications, distributed services, and cloud services.
• Develop and support data processing pipelines, database applications, and data services.
• Support data movement, transformation, validation, testing, and operational readiness activities.
• Develop or integrate RESTful APIs, services, and data-driven applications where needed.
• Work with cloud platform, software engineering, and DevSecOps teams to support deployment of integrated capabilities.
• Use Git-based source control and CI/CD practices, including tools such as GitLab CI/CD, Jenkins, GitHub Actions, or comparable platforms.
• Participate in Agile development activities, code reviews, testing, debugging, and technical documentation.
• Auxiliary with deployment, configuration, maintenance, and troubleshooting in Linux and cloud-based environments.
• Document data flows, interfaces, system dependencies, code comments, integration approaches, and technical decisions.
• Collaborate with mission, engineering, data, security, technical, and user stakeholders to support practical implementation needs.
• Apply secure coding, automated testing, and engineering best practices throughout the development lifecycle.
• Support secure software and data practices, including safeguarding sensitive, proprietary, CUI, or classified information where applicable.
• Operate effectively in secure, government, defense, or mission-oriented environments.

Required Qualifications

• Hands-on experience in data engineering, data integration, cloud data development, or software engineering.
• Experience developing ETL pipelines, data workflows, or data processing capabilities.
• Experience integrating APIs, applications, services, databases, or data sources.
• Experience developing software in modern languages such as Python, Java, or JavaScript/TypeScript.
• Familiarity with RESTful APIs, distributed applications, or cloud-based software environments.
• Familiarity with cloud-based data platforms and cloud-native services.
• Experience developing, testing, or troubleshooting in Linux-based development or operational environments.
• Familiarity with Git-based source code management and collaboration tools.
• Familiarity with Agile development, code reviews, testing, debugging, and collaborative engineering practices.
• Familiarity with secure coding, automated testing, and software engineering best practices.
• Ability to troubleshoot data pipeline, data integration, API, database, software, and interface issues.
• Strong analytical, problem-solving, verbal, and written communication skills.
• Ability to work collaboratively within engineering teams and adapt to evolving technical requirements.
• Ability to support secure or mission-oriented environments.

Desired Qualifications

• Experience with AWS cloud services.
• Experience with Databricks or comparable cloud data platforms.
• Experience with Python, SQL, Spark, Java, or similar data engineering technologies.
• Experience with GitLab, GitLab CI/CD, Jenkins, GitHub Actions, or comparable development and CI/CD platforms.
• Experience working with relational and/or NoSQL databases.
• Experience with unit testing or automated testing frameworks.
• Experience with data modeling, large-scale data processing, event-driven architectures, or streaming data technologies.
• Familiarity with containerization or deployment technologies such as Docker or Kubernetes.
• Familiarity with DevOps or DevSecOps practices.
• Experience evaluating software dependencies, licensing considerations, or supply chain security risks.
• Experience supporting federal, defense, intelligence, scientific, or other mission-oriented environments.
• AWS certifications such as Developer, Solutions Architect, Data Engineer, or DevOps Engineer are a plus.
• Active or eligible security clearance preferred, if applicable.

Benefits Offered

• Medical, Dental, Vision Insurance - 100% Company Paid Premiums
• STD, LTD, and Life Insurance - 100% Company paid
• 401K – Automatic 10% company contribution; no matching required
• PTO - 4 weeks/year
• Holidays - 11 paid/year
• Birthdays off with pay
• Referral Bonuses – Upfront AND Annually Recurring
• Open Source Bonuses – Contribute to our Github projects
• Professional Development – Paid training, Certifications, and Enrichment

About Phoenix Operations Group

Phoenix Operations Group is a high-end engineering services company dedicated to protecting and advancing our national cyber resources. As a small company, we rely on innovation to continually advance our employees' skills and provide game-changing solutions to our customers. Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures. We support operational missions (All-Source, Financial, CND) and serve as Product Owners for our open-source research initiatives.