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Part Time Azure Data Engineer Jobs (NOW HIRING)

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

Platform Operations & Maintenance - Administer and monitor Microsoft Fabric (or Azure Synapse ... prorated for part-time employment) * Sick leave accrues based on state requirements * 9 paid ...

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science ... Design, build, and integrate secure data workflows across Palantir Foundry, Azure Data Factory ...

New

DataOps Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

Experience with Azure cloud services such as Azure Blob Storage, Azure Data Factory, Azure ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

... or Data Engineer. This internship provides hands-on experience across our Microsoft centric data environment, including SQL Server administration, Azure Data Factory pipelines, Azure Data Lake ...

Help organize and structure data in Azure Data Lake Storage Gen2 following established patterns ... Considering a full-time or part-time role. All qualified applicants will receive consideration for ...

Data Engineer

San Diego, CA · On-site

$61.90K - $141K/yr

Cloud Development Certification, including AWS Solutions Architect or Azure Certification ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Arlington, VA · On-site

$61.90K - $141K/yr

Cloud Development Certification, including AWS Solutions Architect or Azure Certification ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Arlington, VA · On-site

$77.60K - $176K/yr

... Azure, or Google Cloud * 5+ years of experience with Distributed data or computing tools, including ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Bremerton, WA · On-site

$77.60K - $176K/yr

Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Fayetteville, NC · On-site

$77.50K - $176K/yr

... Azure or Google Cloud * 5+ years of experience with Distributed data or computing tools, including ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Reston, VA · On-site

$77.60K - $176K/yr

Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Fayetteville, NC · On-site

$77.50K - $176K/yr

Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Azure Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do part time azure data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for part time azure data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Azure Data Engineer, and why are they important?

To thrive as a Part Time Azure Data Engineer, you need a solid understanding of data engineering concepts, SQL, and cloud computing, typically backed by experience with Azure services and a relevant degree or certification. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and knowledge of data modeling and ETL processes are essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with stakeholders and ensure data quality. These skills and qualities are crucial for delivering reliable, scalable data solutions and supporting business intelligence needs in a flexible, part-time capacity.

What are some common challenges faced by part-time Azure Data Engineers, and how can they effectively manage their workload?

Part-time Azure Data Engineers often face the challenge of balancing multiple responsibilities within limited working hours, particularly when handling complex data pipelines or troubleshooting urgent issues. To manage these demands effectively, clear communication with the team about availability and priorities is essential. Utilizing Azure's automation features, such as Data Factory scheduling and monitoring tools, can help streamline recurring tasks and ensure timely project delivery. Regular check-ins and documentation also help maintain project continuity and collaboration with full-time team members.

What is a Part Time Azure Data Engineer?

A Part Time Azure Data Engineer is a professional who works on a flexible or reduced schedule to design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for tasks such as building data pipelines, setting up data storage, and ensuring security and scalability of data systems, but typically work fewer hours than a full-time employee. This role often involves collaborating with other engineers and data professionals to support business analytics or data-driven projects, all while leveraging Azure tools and technologies.

What is the difference between Part Time Azure Data Engineer vs Part Time Data Analyst?

AspectPart Time Azure Data EngineerPart Time Data Analyst
Required CredentialsAzure certifications, SQL, data engineering skillsExcel, SQL, data visualization tools
Work EnvironmentCloud platforms, data pipelines, ETL processesData interpretation, reporting, dashboards
Employer & Industry UsageTech, finance, healthcare with cloud focusMarketing, retail, finance with data analysis needs

Part Time Azure Data Engineers focus on building and maintaining cloud-based data infrastructure using Azure tools, while Part Time Data Analysts interpret data and create reports. Both roles often work in similar industries but serve different functions within data management and analysis.

More about Part Time Azure Data Engineer jobs
What cities are hiring for Part Time Azure Data Engineer jobs? Cities with the most Part Time Azure Data Engineer job openings:
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What states have the most Part Time Azure Data Engineer jobs? States with the most job openings for Part Time Azure Data Engineer jobs include:
What job categories do people searching Part Time Azure Data Engineer jobs look for? The top searched job categories for Part Time Azure Data Engineer jobs are:
Azure Databricks Architect (Remote, Part-Time)

Azure Databricks Architect (Remote, Part-Time)

NEXGEN TECHNOLOGIES INC.

Lakewood, CO

$70 - $90/hr

Full-time, Part-time

Posted 15 days ago


Job description

(Remote, Part-Time)

Must have federal government experience to be considered

Company Information:  

NexGen Technologies, Inc. is a leading IT services firm specializing in delivering innovative, high-quality solutions to our federal government clients. Our core competencies include IT professional support services, software development, cloud services, IT Operations, Agile project management, and GIS services.   

Job Summary:   

NexGen Technologies, Inc. is seeking an Azure Databricks Architect to support large‑scale data and analytics modernization initiatives within a federal government environment. We are looking for a customer‑focused technical leader passionate about transforming legacy data ecosystems through secure, scalable, and pragmatic enterprise data strategies. The ideal candidate will comfortably shift between tactical solutioning and strategic architecture discussions with technical teams, business stakeholders, and mission leadership. This individual will collaborate closely with NexGen and client staff—including subject matter experts, data engineers, analysts, and project managers—within an Agile delivery environment. A strong understanding of NIST SP 800-53 standards, federal security controls, and compliance requirements is essential.

Supervisory Responsibilities:   

  • There are no supervisory responsibilities.   

Essential Duties and Responsibilities (as assigned):

  • Advise stakeholders and translate business, data, and mission requirements into secure, scalable, and reliable Azure Databricks–based architectures.
  • Design and implement modern data and analytics platform leveraging Azure Databricks, Delta Lake, and Azure Data Lake Storage (ADLS).
  • Architect end‑to‑end data ingestion, transformation, orchestration, and analytics pipelines aligned with federal mandates and modernization priorities.
  • Develop future‑state data architecture roadmaps, lead proofs of concept, and present modernization pathways for migrating legacy data systems to Azure.
  • Evaluate and estimate the financial and operational impact of alternative data architecture approaches.
  • Collaborate routinely with developers, data engineers, analysts, and cross‑functional teams to ensure alignment and technical quality.
  • Contribute to the standardization and maturation of cloud‑based data engineering and analytics service offerings.
  • Other duties may be assigned.

Technical Skills:

  • 5+ years of experience designing and implementing Azure‑based data architectures, including analytics, data engineering, and data platform modernization.
  • 5+ years of enterprise architecture experience across on‑prem to cloud modernization, data integration, DevOps, and cloud transformation projects.
  • 3+ years architecting Azure Databricks solutions, including Spark‑based ETL/ELT pipelines, Delta Lake, and large‑scale data processing.
  • 3+ years working with advanced cloud concepts such as Serverless computers, containers, CI/CD pipelines, and Azure DevOps Repos/Pipelines.
  • Deep expertise with Azure data services such as Azure Data Lake Storage, Azure SQL, Azure Event Hub, Azure Functions, and related components.
  • Experience developing data governance frameworks, including security, lineage, cataloging, and best practices for federal cloud environments.

Desired Skills:

  • Microsoft Certified: Azure Data Engineer Associate, Azure Solutions Architect, or Databricks Certified Data Engineer/Architect.

Additional Requirements:

  • Strong oral and written communication skills, analytical thinking, and collaborative mindset.
  • Federal government experience is required (DOI experience preferred).
  • The successful candidate will also be able to pass background screening prior to employment.  
  • US Citizenship, legal permanent residence, or US work authorization with minimum 3 years of US presence is required due to federal contract requirements.

Education:

  • Bachelor’s or Master’s degree in Information Technology, Computer Science, Data Engineering, or related field—or equivalent experience.

Physical Requirements:   

  • Must be able to remain in a stationary position 50% of the time.   
  • Must be able to consistently use a keyboard, mouse, computer, and other office productivity tools.   
  • Must be able to communicate and exchange accurate information in person, over the phone, and on and off camera with videoconferencing tools.   
  • For remote positions, a minimum standard internet speed for optimal performance of 50 x 25 (50 mbps download x 25 mbps upload) is required.   
  • For remote positions, a dedicated workspace, free from ongoing interruptions, is required to protect sensitive but unclassified federal information.  

Compensation: $70 per hour to $90 per hour 

(The successful candidate's starting pay will fall within the salary range provided and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions.)  

NexGen Technologies, Inc., is an equal opportunity employer.    

(Last Revision:  2026-01-12)