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Part Time Azure Data Engineer Jobs in Washington, DC

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

$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

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

Fort Belvoir, 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, Lead

Washington, DC · On-site

$99K - $225K/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

Chantilly, VA · On-site

$77.60K - $176K/yr

Share Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means ... 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 +1

$77.60K - $176K/yr

Share Data Engineer The Opportunity: Data is only as powerful as the pipelines that move it, the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Chantilly, VA · On-site

$77.60K - $176K/yr

Share Data Engineer The Opportunity: Booz Allen is seeking a Data Engineer to architect, develop ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Chantilly, VA · On-site

$77.60K - $176K/yr

Share Data Engineer The Opportunity: Booz Allen is seeking a Lead Data Engineer to architect ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer, Mid

Mclean, VA · On-site

$62K - $141K/yr

Chantilly, Virginia, USA Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer, Mid

Mclean, VA · On-site

$62K - $141K/yr

Chantilly, Virginia, USA Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

ETL Software Engineer

Mclean, VA · On-site

$69.40K - $158K/yr

AWS Data Engineer or Azure Data Engineer Certification Clearance: Applicants selected will be ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Showing results 1-20

Part Time Azure Data Engineer information

See Washington, DC salary details

$50.4K

$146.9K

$201K

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 Washington, DC is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 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.

What are the most commonly searched types of Azure Data Engineer jobs in Washington, DC? The most popular types of Azure Data Engineer jobs in Washington, DC are:
What are popular job titles related to Part Time Azure Data Engineer jobs in Washington, DC? For Part Time Azure Data Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Part Time Azure Data Engineer jobs in Washington, DC look for? The top searched job categories for Part Time Azure Data Engineer jobs in Washington, DC are:
DataOps Engineer

DataOps Engineer

Booz Allen Hamilton, Inc.

Mclean, VA • On-site, Remote

$62K - $141K/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

8th of 57 rated business consultants


Job description

Job Description
Remote Work:
Yes
Job Number:
R0240163
Location:
McLean,VA,US
Share job via:
Share
Additional Locations:
  • Melbourne, Florida, USA

DataOps Engineer
The Opportunity:
As a DataOps Engineer, your role will be central in enhancing data quality, streamlining data pipelines, and enabling scalable cloud-based solutions that improve the experience for veterans and VA staff.
In this role, you will apply modern data engineering practices, automation, and cloud native tooling to solve complex data challenges. Your technical expertise will help guide architecture, build resilient pipelines, and ensure data assets are governed, discoverable, and ready for analytics and application needs across the VA. You will recommend tools and solutions based on your research of current environments, industry standards, and modern DevSecOps and DataOps methodologies. You will partner with software engineers, product teams, architects, and stakeholders to develop and maintain secure, automated, and highly available data services. You will use technologies including AWS cloud services, orchestration tools, SQL and NoSQL data stores, event streaming platforms, and CI/CD automation to design pipelines that meet mission needs.
If you are passionate about repeatability, automation, data reliability, and cloud scale engineering, this is an opportunity to drive meaningful impact in a modernized VA environment.
Join us. The world can't wait.
You Have:
  • 3+ years of experience in data engineering or DataOps, including building scalable data pipelines and data processing solutions
  • Experience designing, implementing, and maintaining ETL or ELT pipelines in cloud or hybrid environments
  • Experience with SQL and a scripting or programming language such as Python, Bash, or Java
  • Experience working with modern data storage technologies, including relational databases, data lakes, or NoSQL
  • Experience implementing data validation, data quality checks, and automation for data workflows
  • Knowledge of version control, CI/CD practices, and automated deployment pipelines
  • Ability to assess existing data systems and design integration points, ingestion patterns, and pipeline improvements
  • Public Trust
  • HS diploma or GED

Nice If You Have:
  • Experience with AWS cloud services such as S3, Glue, Lambda, RDS, Redshift, EMR, Kinesis, or Step Functions
  • Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or AWS Managed Workflows
  • Experience with Azure cloud services such as Azure Blob Storage, Azure Data Factory, Azure Functions, Azure SQL Database, Azure Synapse Analytics, formerly SQL Data Warehouse, Azure HDInsight, Azure Stream Analytics, or Azure Logic Apps
  • Experience with workflow orchestration tools such as Azure Data Factory, Azure Logic Apps, Azure Batch, or Apache Airflow on Azure.
  • Experience with infrastructure as code tools such as Terraform or CloudFormation
  • Experience working with containerized environments including Docker or Kubernetes
  • Experience supporting DataOps capabilities including observability, lineage, metadata management, and pipeline monitoring
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
  • Cloud practitioner, data engineer, or architect certification

Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination is required.
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 $62,000.00 to $141,000.00 (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

Sourced by ZipRecruiter

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