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Director Cloud Data Engineer Jobs (NOW HIRING)

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... This is 100 REMOTE and a full-time direct hire and requires you to currently hold permanent work ...

Apex Systems

Senior Cloud Data Engineer

Quincy, MA · On-site

$80 - $83/hr

Senior Cloud Data Engineer Client: Commonwealth of MA (EOHHS) Location: Quincy, MA (Hybrid) Duration: Thru 6/30/27 (with possibility of extension) Pay rate: $80-$83/hour Senior Cloud Data Engineer ...

Apex Systems

$100 - $125/hr

Senior Cloud Data Engineer Client: Commonwealth of MA (EOHHS) Location: Quincy, MA (Hybrid) Duration: Thru 6/30/27 (with possibility of extension) Pay rate: $80-$83/hour Senior Cloud Data Engineer ...

Apex Systems

Senior Cloud Data Engineer

Quincy, MA · On-site

$100 - $125/hr

Senior Cloud Data Engineer Client: Commonwealth of MA (EOHHS) Location: Quincy, MA (Hybrid) Duration: Thru 6/30/27 (with possibility of extension) Pay rate: $80-$83/hour Senior Cloud Data Engineer ...

Huntington

Cloud & Data Engineer

Columbus, OH · On-site +1

$52.25 - $70/hr

The Cloud & Data Engineer provides technical and consultative support on Huntington's core finance and HR platforms. Duties and Responsibilities: Partner with Business Analyst to confirm and define ...

Hewlett Packard Enterprise

Cloud Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Cloud Data Engineer This role has been designed as ''Onsite' with an expectation that you will ... Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and ...

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Director Cloud Data Engineer information

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How much do director cloud data engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for director cloud data engineer in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

What is the difference between Director Cloud Data Engineer vs Cloud Data Engineer?

AspectDirector Cloud Data EngineerCloud Data Engineer
ResponsibilitiesOversees data engineering teams, strategy, and architectureDevelops, implements, and maintains cloud data pipelines and solutions
Required SkillsLeadership, project management, advanced cloud and data skillsStrong coding, cloud platform expertise, data modeling
CertificationsCloud certifications (AWS, Azure), leadership certificationsCloud certifications (AWS, Azure), data engineering certifications
Work EnvironmentManagement, strategic planning, cross-team collaborationHands-on data pipeline development, cloud platform usage

The main difference is that the Director Cloud Data Engineer focuses on leadership, strategy, and overseeing data engineering teams, while the Cloud Data Engineer is primarily responsible for building and maintaining cloud data solutions. Both roles require cloud platform expertise and relevant certifications, but their scope and focus differ significantly.

What are the most commonly searched types of Cloud Data Engineer jobs?

The most popular types of Cloud Data Engineer jobs are:

What are popular job titles related to Director Cloud Data Engineer jobs?

For Director Cloud Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Director Cloud Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.

Cloud Data Engineer - Clearance Required

Washington, DC • On-site

Phoenix Operations Group
Software Development • 11 - 50 employees
Learn more about Phoenix Operations Groupexternal

$68.75 - $89.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

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.

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.

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