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Cloud Data Engineer - Clearance Required

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Not stated

What you’ll work on

Full posting
  • Build, maintain, and troubleshoot ETL pipelines and data workflows

  • Integrate data sources, APIs, applications, and cloud services

  • Develop or integrate RESTful APIs, services, and data-driven applications

  • Support deployment through Git-based source control and CI/CD practices

  • Document data flows, interfaces, and technical decisions

From the employer’s posting
Build, maintain, and troubleshoot ETL pipelines and data workflows.
Integrate data sources, APIs, applications, distributed services, and cloud services.
Develop or integrate RESTful APIs, services, and data-driven applications where needed.
Use Git-based source control and CI/CD practices, including tools such as GitLab CI/CD, Jenkins, GitHub Actions, or comparable platforms.
Document data flows, interfaces, system dependencies, code comments, integration approaches, and technical decisions.

What you’ll bring

All qualifications

Core experience

  • 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.

Preferred experience

  • 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.
Qualification wording
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 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.

About Phoenix Operations Group

Phoenix Operations Group is a high-end engineering services company dedicated to protecting and advancing our national cyber resources.

In the employer’s words · Read in context

Posting record

Report an error

Open 4 monthsWe first saw this posting 148 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 9, 2026148 days ago
Recorded sightings
70
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 148

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,704 similar postings that came down. Coming down is not always a hire.

Phoenix Operations Group is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • JavaScript
  • Python
  • SQL
  • TypeScript
  • AWS
  • Databricks
  • Docker
  • Kubernetes
  • NoSQL
  • Spark
Where the posting names them
- 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.
- 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.
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
Desired Qualifications - Experience with AWS cloud services. - Experience with Databricks or comparable cloud data platforms.
- 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.
- 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 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 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.

Your next step

Complete your application on recruiting.paylocity.com. The employer’s form will show what is required.

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Already applied? Track this application

Has Phoenix Operations Group posted this job before?

Yes. We’ve followed 2 other Cloud Data Engineer - Clearance Required jobs there since June 2026. All 2 are still up.

  1. Falls ChurchStill up after 149 days, first seen Jun 9
  2. WashingtonStill up after 149 days, first seen Jun 9
  3. This jobUp 149 days so far, first seen Jun 9

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.

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.

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 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.


Please visit us at http://www.phoenix-opsgroup.com for more information.

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.

Source details

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Pay

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Location & working pattern

Bethesda, MD

Working pattern and location restrictions need checking in the full posting.

Work authorization
- 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

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