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Part Time Microsoft Azure Data Engineer Jobs (NOW HIRING)

Azure Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Experience with the Microsoft Azure Government cloud, including Microsoft Azure * Experience ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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 Engineer

Arlington, VA · On-site

$77K - $176K/yr

Experience using and developing data systems with AWS and Microsoft Azure cloud data products such ... 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

$77K - $176K/yr

Experience using and developing data systems with AWS and Microsoft Azure cloud data products such ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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 ...

Data Engineer

Wharton, NJ · On-site

$77K - $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 ...

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 ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/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

Aberdeen, MD · On-site +1

$77K - $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

Arlington, VA · On-site

$62K - $141K/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

Mclean, VA · On-site

$77K - $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

Aberdeen, MD · On-site +1

$77K - $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

$77K - $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

Arlington, VA · Hybrid

$62K - $141K/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

Arlington, VA · Hybrid

$77K - $176K/yr

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

Data Engineer

O Fallon, IL · On-site

$61K - $141K/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

Alexandria, VA · On-site

$62K - $141K/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

Alexandria, VA · On-site

$62K - $141K/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 Microsoft Azure Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jun 30, 2026, the average yearly pay for part time microsoft 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.

How do part-time Microsoft Azure Data Engineers typically collaborate with full-time team members on projects?

Part-time Microsoft Azure Data Engineers often work closely with full-time engineers, data scientists, and project managers through scheduled meetings, collaborative platforms like Microsoft Teams, and well-documented code repositories. Clear communication and effective use of agile tools ensure seamless integration of their work with ongoing projects. They may focus on specific deliverables or modules, and regular check-ins help align their progress with team objectives. This collaborative structure allows part-time engineers to contribute meaningfully while maintaining flexibility in their work schedules.

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

To excel as a Part Time Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, and proficiency with SQL, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and Azure Databricks, as well as relevant certifications such as Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, effective communication, and the ability to manage time independently are crucial soft skills for this role. These competencies ensure efficient data solutions, seamless integration within cloud environments, and the ability to deliver high-quality work on a flexible schedule.

What is a Part Time Microsoft Azure Data Engineer?

A Part Time Microsoft Azure Data Engineer is a professional who works on a part-time basis to design, implement, and maintain data solutions using Microsoft Azure's cloud platform. Their responsibilities typically include building and managing data pipelines, transforming and storing large datasets, and ensuring data quality and security. They use Azure services such as Azure Data Factory, Azure SQL Database, and Azure Data Lake to enable data-driven decision making. Working part-time allows for flexibility in hours while still handling critical data engineering tasks for organizations.

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

AspectPart Time Microsoft Azure Data EngineerPart Time Data Analyst
Required CredentialsAzure certifications, SQL, data engineering skillsExcel, SQL, data visualization tools
Work EnvironmentCloud platforms, data pipelines, cloud infrastructureData interpretation, reporting, dashboards
Employer & Industry UsageTech companies, cloud service providers, enterprises using AzureBusiness, marketing, finance sectors

The Part Time Microsoft Azure Data Engineer focuses on building and managing data pipelines in Azure cloud environments, requiring cloud-specific certifications and technical skills. In contrast, the Part Time Data Analyst primarily interprets data and creates reports using various tools. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

More about Part Time Microsoft Azure Data Engineer jobs
What cities are hiring for Part Time Microsoft Azure Data Engineer jobs? Cities with the most Part Time Microsoft Azure Data Engineer job openings:
What are the most commonly searched types of Microsoft Azure Data Engineer jobs? The most popular types of Microsoft Azure Data Engineer jobs are:
What states have the most Part Time Microsoft Azure Data Engineer jobs? States with the most job openings for Part Time Microsoft Azure Data Engineer jobs include:
What job categories do people searching Part Time Microsoft Azure Data Engineer jobs look for? The top searched job categories for Part Time Microsoft Azure Data Engineer jobs are:
Infographic showing various Part Time Microsoft Azure Data Engineer job openings in the United States as of June 2026, with employment types broken down into 8% As Needed, and 92% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Azure Data Engineer

Azure Data Engineer

Booz Allen Hamilton, Inc.

Mclean, VA • On-site, Remote

$77K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0242562
Location:
McLean,VA,US
Share job via:
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Additional Locations:
  • Melbourne, Florida, USA

Azure Data Engineer
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there is more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it is gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions from fraud detection to cancer research, to national intelligence.
As a data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.
Work with us to use data for good.
Join us. The world can't wait.
You Have:
  • Experience building scalable ETL or ELT pipelines for reporting and analytics using Azure Synapse Analytics, Azure Data Factory, or Azure Databricks
  • Experience with direct development using Azure services such as Azure Synapse Analytics, Azure Data Factory, Logic Apps, Azure Key Vault, ADLS Gen2, or Azure Databricks
  • Experience building and maintaining resilient ingestion pipelines from multiple sources such as REST APIs, Databases, event streams, or SaaS platforms, including Genesys and SalesForce
  • Experience with data modeling
  • Experience mentoring junior engineers and contribute to data engineering standards and best practices
  • Knowledge of monitoring and alerting tools
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • Bachelor's degree

Nice If You Have:
  • Experience with Python, SQ, including T-SQL and Spark SQL, and PySpark
  • Experience with UNIX or Linux, including basic commands and Shell scripting
  • Experience with the Microsoft Azure Government cloud, including Microsoft Azure
  • Experience writing data quality checks for large data sets using custom scripts in Azure Synapse or Azure Databricks
  • Experience with pipeline monitoring, observability, real-time data, and streaming applications
  • Experience with Apache Spark performance tuning and query optimization
  • Experience with Oracle or Oracle Golden Gate
  • Experience with Dynamics 365 CRM data
  • Bachelor's degree in a related field
  • Azure DE or Databricks Certification

Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914