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Part Time Data Engineering Jobs in Texas (NOW HIRING)

Globe Life Inc.

Data & AI Engineer III (Hybrid)

Mckinney, TX · On-site

$106K - $127K/yr

Lead and develop robust data engineering solutions to meet the needs of our organization and ... Ability to work full time and/or part time based on the position specifications. How Globe Life ...

T3i, Inc.

Data Engineer

San Antonio, TX

$103K - $124K/yr

This position requires strong software engineering and coding expertise, with demonstrated ... part time, and independent contractor) and annual random drug screening for all current T3i ...

WME Express

Autonomous Vehicle Data Tech

Anson, TX · On-site

$19/hr

Data Capture Technician Part Time Abilene, TX (In-Person) $19/hour Part-Time - 1 weekday per week ... Construction, surveying, or civil engineering experience * Fieldwork experience * Interest in AI ...

WME Express

Autonomous Vehicle Data Tech

Anson, TX · On-site

Data Capture Technician Part Time Abilene, TX (In-Person) $19/hour Part-Time - 1 weekday per week ... Construction, surveying, or civil engineering experience * Fieldwork experience * Interest in AI ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $130K/yr

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ... Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be ...

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All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Texas

Part Time Data Engineering information

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

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

What are the most commonly searched types of Data Engineering jobs in Texas? The most popular types of Data Engineering jobs in Texas are:
What cities in Texas are hiring for Part Time Data Engineering jobs? Cities in Texas with the most Part Time Data Engineering job openings:
Part Time Data Engineering jobs near you
Infographic showing various Part Time Data Engineering job openings in Texas as of June 2026, with employment types broken down into 86% Full Time, 9% Part Time, 2% Temporary, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Data & AI Engineer III (Hybrid)

Data & AI Engineer III (Hybrid)

Globe Life Inc.

Mckinney, TX • On-site

$106K - $127K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago

Globe Life Insurance rating

7.5

Company rating: 7.5 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

186th of 260 rated insurance

Job description

Job Description:
Data & AI Engineer III (Hybrid) Primary Duties & Responsibilities At Globe Life, we are committed to empowering our employees with the support and opportunities they need to succeed at every stage of their career. We take pride in fostering a caring and innovative culture that enables us to collectively grow and overcome challenges in a connected, collaborative, and mutually respectful environment that calls us to help Make Tomorrow Better.
Role Overview:
Could you be our next Data & AI Engineer III? Globe Life is looking for a Data & AI Engineer III to join the team!
This role is responsible for leading the design, development, and implementation of enterprise-scale cloud data engineering solutions, including Data Lake and Data Warehouse architectures on AWS. This person will establish scalable, secure data infrastructure and deliver complex data pipelines and integration solutions that support analytics and business intelligence initiatives. Leveraging expertise in AWS services, advanced SQL, Python, Informatica, and Big Data technologies such as Hadoop and Spark, this role also serves as a technical mentor, providing expert guidance on data engineering best practices, SDLC methodologies, CloudFormation deployment, and AWS AI offerings to advance the organization's evolving data and analytics strategy.
This is a hybrid position located in McKinney, TX (WFH Monday & Friday, In-Office Tuesday-Thursday).
What You Will Do:
  • Lead and develop robust data engineering solutions to meet the needs of our organization and business customers.
  • Be responsible for establishing appropriate architecture to support current and future business requirements.
  • Mentor team members and provide technical guidance on Cloud Data Lake and Data Warehouse design, development, implementation and monitoring.
  • Understand, design and implement Data Security around cloud data infrastructures.
  • Provide support and guidance to Data Services and other application development teams on various Data Engineering and Analytics products.

What You Can Bring:
  • Bachelor's degree in Computer Science/Engineering, Information Systems, or equivalent work experience in a technical position.
  • 10+ years of experience in Information Technology.
  • 5+ years of hands-on experience in Database Engineering and data engineering solutions, including design and implementation in AWS Redshift, RDS/Aurora, DMS, Glue, and Lambda.
  • Proven experience building data pipelines and database applications.
  • Strong coding and scripting experience with Python, PowerShell, or similar languages, including implementation of Big Data technologies such as Hadoop, Spark, Presto, Hive, and Hue.
  • Working knowledge of AWS Data Management and Pipeline tools, including S3, Lambda, Glue, Athena, CloudWatch, CloudTrail, IAM, and SNS.
  • Advanced SQL programming and solid understanding of implementing data lake and data warehouse solutions in the cloud.
  • Development experience with a major ETL tool, preferably Informatica.
  • Experience in creating and deploying CloudFormation Templates (CFTs).
  • Experience with database performance testing and capacity planning.
  • Working knowledge of SDLC and agile/iterative methodologies.
  • Excellent verbal and written communication skills and ability to work independently and as part of a team.
  • AWS or LOMA Certifications, experience in Life Insurance/Annuity/Financial Services, knowledge of AWS AI offerings, and experience with data visualization tools are all a plus.

Applicable To All Employees of Globe Life Family of Companies:
  • Reliable and predictable attendance of your assigned shift.
  • Ability to work full time and/or part time based on the position specifications.

How Globe Life Will Support You:
Looking to continue your career in an environment that values your contribution and invests in your growth? We've curated a benefits package that helps to ensure that you don't just work, but thrive at Globe Life:
  • Competitive compensation designed to reflect your expertise and contribution.
  • Comprehensive health, dental, and vision insurance plans because your well-being is fundamental to your performance.
  • Robust life insurance benefits and retirement plans, including company-matched 401k and pension plan.
  • Paid holidays and time off to support a healthy work-life balance.
  • Parental leave to help our employees welcome their new additions.
  • Subsidized all-in-one subscriptions to support your fitness, mindfulness, nutrition, and sleep goals.
  • Company-paid counseling for assistance with mental health, stress management, and work-life balance.
  • Continued education reimbursement eligibility and company-paid FLMI and ICA courses to grow your career.
  • Discounted Texas Rangers tickets for a proud visit to Globe Life Field.

Opportunity awaits! Invest in your professional legacy, realize your path, and see the direct impact you can make in a workplace that celebrates and harnesses your unique talents and perspectives to their fullest potential. At Globe Life, your voice matters.

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