Cloud Data Engineer - Clearance Required

THE PHOENIX
Falls Church, VA, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Application Integration Architecture Software Applications Systems Engineering Automation of Tests Unit Testing Big Data
+48 more
Software as a Service Cloud Computing Cloud Database Code Review Collaborative Software Databases Continuous Integration Data as a Services Information Engineering Data Governance Data Infrastructure Data Integration Extract Transform Load (ETL) Database Applications Software Debugging Linux DevOps Distributed Systems Document-Oriented Databases Github Python (Programming Language) NoSQL Open Source Technology Cloud Services Secure Coding Software Construction Software Engineering SQL Databases Data Streaming TypeScript Data Processing Cloud Platform System Apache Spark Code Comments Gitlab Git Event Driven Architecture Containerization Gitlab-ci Kubernetes Restful APIs Software Version Control Data Pipelines Devsecops Serverless Computing Docker Jenkins Databricks

Job description

Phoenix Ops Group is seeking qualified candidates for mission-oriented cloud, data, and AI-enabling technology work. Multiple levels may be considered based on experience, including mid-level and senior candidates. We are seeking a hands-on Cloud Data Engineer to support cloud-based data pipelines, APIs, data services, and modern data platforms.

This 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.

Experience with AWS and Databricks is highly desired.

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.
  • Assist 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., 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.

Requirements

Do you have experience in Version control?, * 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.

Candidate Profile

The ideal candidate is a practical, hands-on engineer who can connect data, APIs, services, databases, software applications, and cloud platforms into working mission capabilities. This role is not intended as a traditional systems engineering or architecture role; the emphasis is on implementation, integration, testing, secure development, and operational usefulness.

Benefits & conditions

Pulled from the full job description

  • Paid training
  • Referral program
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Dental insurance, 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 the company

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., Phoenix Operations Group is an Equal Opportunity Employer. Phoenix Operations Group does not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business needs.

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