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Part Time Data Engineering Jobs in Dallas, TX (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 ...

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 ...

Arcadis

Electrical Engineer - Data Center

Dallas, TX · On-site

$80K - $142K/yr

As an Arcadian, you already help us deliver world leading sustainable design, engineering, and ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

Engineering for Kids

Assistant Lead

Plano, TX · On-site

$18 - $22/hr

This is a PART-TIME position only Benefits/Perks: * Hourly/Competitive Pay * On the Job Training ... At Engineering For Kids , we inspire kids ages 4 to 14 to build on their innate desire for answers ...

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All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Dallas, TX

Part Time Data Engineering information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do part time data engineering jobs pay per year?

As of Jun 16, 2026, the average yearly pay for part time data engineering in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

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.

Is it possible to work part-time as a data scientist?

Yes, data scientists can work part-time, especially in freelance or consulting roles, or within organizations that offer flexible schedules. However, many data science positions are full-time due to the complexity of projects and the need for continuous collaboration and skill development.

Is it possible to work part-time as an engineer?

Part-time data engineering roles are available, often requiring skills in SQL, Python, and cloud platforms. These positions typically involve flexible schedules and may require prior experience or certifications, depending on the employer's needs.

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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, programming languages like Python and SQL, and familiarity with tools such as Hadoop and Spark enhance job prospects in this field.

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 engineers make $500,000?

Senior data engineers, software engineers, and machine learning engineers with extensive experience, specialized skills, and working in high-paying industries or companies can earn $500,000 or more annually. Achieving this level often requires advanced technical expertise, certifications, and sometimes leadership roles or stock options.
What are the most commonly searched types of Data Engineering jobs in Dallas, TX? The most popular types of Data Engineering jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Part Time Data Engineering jobs? Cities near Dallas, TX 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 Dallas, TX as of June 2026, with employment types broken down into 79% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.
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 25 days ago

Globe Life Insurance rating

7.6

Company rating: 7.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

186th of 261 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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