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Part Time Azure Data Engineer Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

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 ...

BOOZ, ALLEN & HAMILTON, INC.

$225K/yr

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

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Arlington, VA · Hybrid

$141K/yr

Data Engineer The Opportunity: Everyone is trying to "harness the cloud," but not everyone knows ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Exavalu

Technical Solution Leader

Design and implement end-to-end data architectures using Azure-native services such as Azure Data ... Ability to collaborate effectively with business and engineering teams to deliver scalable data ...

Exavalu

Data Modeler & Data Engineer (Guidewire)

$56 - $72.75/hr

Snowflake Data Engineering & Optimization * Design Snowflake-ready schemas and optimize physical ... part-time work, working outside normal 9-5 business hours or working remotely. We also offer a ...

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Part Time Azure Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jul 7, 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 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 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 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.
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Part Time Azure Data Engineer jobs near you
Infographic showing various Part Time Azure Data Engineer job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Adjunct Instructor in Data Management, Integration, and Applied Analytics

Adjunct Instructor in Data Management, Integration, and Applied Analytics

Brandeis University

Brandeis, CA • On-site

$6.5K/mo

Part-time

Re-posted yesterday

Job description

Brandeis University's Online Information Technology Management Program is seeking an Adjunct Faculty member for RITM 125 Data Management, Integration, and Applied Analytics for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Information Technology Management.

This course focuses on enterprise data lifecycle management, data modeling, integration workflows, and applied analytics. Students work with data from multiple sources to design structures and processes that support decision-making, quality, and accessibility.

Core Course Responsibilities Summary

  • Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.

  • Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.

  • Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.

  • Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:

  • Required:

    • Master's degree in Data Science, Information Systems, Computer Science, Data Engineering, Business Analytics, or a closely related field

    • Minimum 3 years of professional experience in enterprise data management, data integration, analytics, or data architecture

    • Demonstrated expertise in data modeling, database design (SQL and NoSQL), ETL/ELT workflows, and data lifecycle management

    • Experience working with analytics tools or programming languages used in applied analytics (e.g., Python, R, SQL, Power BI, Tableau)

    • Minimum 1 year experience developing asynchronous online courses for adult learners in higher education

    • At least 1 year of teaching or training experience (preferably online/asynchronous)

    • Experience with online instruction

    • Excellent communication and teaching skills in an online learning environment.

  • Preferred:

    • Doctorate (PhD or DBA) in Data Science, Information Systems, Computer Science, Analytics, or related field

    • 5+ years of experience in data architecture, enterprise analytics strategy, data governance, or business intelligence leadership

    • Professional experience as a Data Architect, Data Engineer, Analytics Director, BI Lead, or Enterprise Data Strategist

    • Experience with enterprise data governance frameworks and data quality management practices

    • Industry certifications such as Certified Data Management Professional (CDMP), AWS Data Analytics, Azure Data Engineer Associate, Google Professional Data Engineer, or equivalent

    • Prior online teaching experience at the graduate level

    • Knowledge of global learner personas and culturally responsive pedagogy

    • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

Interested candidates should submit:

A cover letter highlighting relevant qualifications and teaching experience.

A current CV or resume.

Contact information for three professional references.

Application review begins June 1, 2026 though we will continue to accept submissions on an ongoing basis.

This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.

Compensation for this positon is: $6573.15

Pay Range Disclosure

The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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