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Part Time Azure Data Engineer Jobs in Texas (NOW HIRING)

... Azure services. Data, Testing & Deployment * Build and maintain data pipelines, including ... Programming: Strong working knowledge of Python. * Applied AI / GenAI: Hands-on experience building ...

Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

You will work closely with data scientists, engineers, enterprise architects, and business ... Experience deploying AI/GenAI solutions in Azure environments, including familiarity with Azure AI ...

Virtual Assistant (Remote)

Houston, TX · Remote

$20.25 - $27.25/hr

Virtual Assistant (Remote)About Azure Spice Isle Escapes Azure Spice Isle Escapes is a growing ... Coordinate with travel suppliers and business partners as needed. * Assist with data entry, file ...

New

... Azure services . This internship is designed to strengthen applied AI engineering skills and ... Data, Testing & Deployment * Build and maintain data pipelines, including preprocessing and quality ...

As an Electrical Engineer you will lead the electrical discipline of multiple concurrent data ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

Dallas & Midland Type: Part Time (3 days Dallas and 2 days Midland) Role Summary We are looking for ... Familiarity with AD, Azure AD, and M365 user management. Experience with imaging tools (Intune/SCCM ...

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Part Time Azure Data Engineer information

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.
What are the most commonly searched types of Azure Data Engineer jobs in Texas? The most popular types of Azure Data Engineer jobs in Texas are:
What are popular job titles related to Part Time Azure Data Engineer jobs in Texas? For Part Time Azure Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Part Time Azure Data Engineer jobs in Texas look for? The top searched job categories for Part Time Azure Data Engineer jobs in Texas are:
What cities in Texas are hiring for Part Time Azure Data Engineer jobs? Cities in Texas with the most Part Time Azure Data Engineer job openings:
Infographic showing various Part Time Azure Data Engineer job openings in Texas as of July 2026, with employment types broken down into 100% Part Time. Highlights an 79% In-person, and 21% Remote job distribution.
Python Software Engineer - Temporary to Perm

Python Software Engineer - Temporary to Perm

Alvarez and Marsal

Dallas, TX

$70 - $90/hr

Part-time, Temporary

Medical, Life, Retirement, PTO

Re-posted yesterday


Job description

Description

Python Software Engineer - Temporary to Perm

About Alvarez & Marsal 

Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M. 

The Team 

As a Python Developer, you will design and develop robust, cloud-native systems that power intelligent automation and decision-making. You will be a hands-on problem solver—building APIs, Azure Functions, and event-driven services that form the backbone of scalable, AI-ready enterprise applications.

How you will contribute 

  • Write clean, maintainable, and testable code in Python
  • Design, build, and optimize APIs and Azure Function Apps to deliver performant, reliable, and secure cloud services.Integrate with databases (SQL, NoSQL, or cloud-native data stores) and design effective data access patterns.
  • Implement event-driven architectures leveraging Azure Event Grid, Durable Functions, and API Management.
  • Rapidly prototype and experiment with new SDKs, APIs, and frameworks to support AI-driven and agentic workflows.
  • Develop monitoring, observability, and diagnostic tools to ensure reliability and performance.
  • Apply software engineering best practices, including automated testing, CI/CD, and cloud cost optimization.
  • Collaborate with peers through code reviews, technical design discussions, and mentorship.

Qualifications

  • 7–10+ years of professional software development experience in backend or full-stack engineering.
  • Proven ability as a hands-on problem solver who can translate complex requirements into reliable, maintainable solutions.
  • Proficiency in Python, with strong knowledge of object-oriented and functional programming principles.
  • Hands-on experience developing and deploying Azure Functions, APIs, and event-driven systems.
  • Experience integrating with databases and designing data interaction layers for performance and scalability.
  • Solid understanding of microservices, serverless architectures, and distributed systems.
  • Familiarity with Azure SDKs, Azure Cognitive Services, and cloud security best practices.
  • Strong communication and collaboration skills; thrives in agile, iterative development environments.
  • Practical exposure to AI/ML technologies, including LLMs, RAG, and orchestration tools like LangChain, AutoGen, or Semantic Kernel.

At Alvarez & Marsal, you’ll be part of a team that applies cutting-edge cloud and AI engineering to transform how enterprises operate. You’ll collaborate across disciplines to design intelligent systems that deliver measurable impact—combining technical rigor, creative problem solving, and strategic execution to build the next generation of digital platforms.

Your journey at A&M 

We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.  

We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.  

Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings’ fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez & Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&M’s benefits programs.

The hourly rate is $70-$90 per hour. 

Must be authorized to work in the US without the need for employment-based sponsorship now or in the future.  A&M will not sponsor applicants for US work visa status for this role.Â