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Part Time Data Engineer Jobs in Texas (NOW HIRING)

T3i, Inc.

Data Engineer

San Antonio, TX

$103K - $124K/yr

The Data Engineer supports T3i's Integrated Analytics effort by designing, developing, and ... part time, and independent contractor) and annual random drug screening for all current T3i ...

Globe Life Inc.

Data & AI Engineer III (Hybrid)

Mckinney, TX · On-site

$106K - $127K/yr

Data & AI Engineer III (Hybrid) Primary Duties & Responsibilities At Globe Life, we are committed ... Ability to work full time and/or part time based on the position specifications. How Globe Life ...

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

Part Time Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

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

As of Jul 23, 2026, the average yearly pay for part time data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can I expect as a Part Time Data Engineer?

As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn $300,000 or more annually. High compensation often depends on industry, location, and the complexity of projects handled.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data infrastructure that requires human oversight and expertise. While AI can automate certain tasks like data cleaning and processing, data engineers are essential for managing complex systems, ensuring data quality, and integrating new technologies. Skills in programming, cloud platforms, and data architecture remain critical in this evolving field.

What engineer makes $500,000 a year?

Highly experienced data engineers working in senior or specialized roles at large tech companies or financial institutions can earn $500,000 or more annually, often including bonuses and stock options. Achieving this level typically requires advanced skills in data architecture, cloud platforms, and programming, along with significant industry experience and certifications.

What is a Part Time Data Engineer job?

A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.

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

To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large data systems, building data pipelines, and supporting data analytics. Skills in cloud platforms, SQL, and programming languages like Python or Scala enhance job prospects in this field.
What are the most commonly searched types of Data Engineer jobs in Texas? The most popular types of Data Engineer jobs in Texas are:
What are popular job titles related to Part Time Data Engineer jobs in Texas? For Part Time Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Part Time Data Engineer jobs in Texas look for? The top searched job categories for Part Time Data Engineer jobs in Texas are:
What cities in Texas are hiring for Part Time Data Engineer jobs? Cities in Texas with the most Part Time Data Engineer job openings:
Part Time Data Engineer jobs near you
Infographic showing various Part Time Data Engineer job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Data Engineer

Data Engineer

T3i, Inc.

San Antonio, TX

$103K - $124K/yr

Full-time, Part-time, Contractor

Posted 19 days ago

Job description

Job Summary: The Data Engineer supports T3i's Integrated Analytics effort by designing, developing, and maintaining scalable data infrastructure, automated data pipelines, and enterprise data solutions that enable advanced analytics, machine learning, and operational decision support. Data Engineers serve as the technical foundation of the analytics ecosystem, integrating data from operational, training, medical, personnel, and human performance systems into secure, reliable, and accessible data products. This position requires strong software engineering and coding expertise, with demonstrated experience developing data pipelines, APIs, cloud-based architectures, and automated workflows. The ideal candidate will possess experience working with large, complex datasets and modern data engineering tools within government, defense, or operational environments.
Primary Responsibilities:
  • Design, develop, and maintain scalable ETL/ELT pipelines for ingesting, transforming, and integrating data from multiple source systems
  • Build and support enterprise data architectures including data lakes, data warehouses, and data marts
  • Develop automated workflows using Python, SQL, and modern orchestration tools to improve data quality, accessibility, and reliability
  • Engineer integrations between operational systems, training systems, human performance platforms, and business applications
  • Participate in field and in-garrison data collection efforts and ensure continuous syncing of new data into dashboards
  • Support ad-hoc reporting requests and provide analytic insight into trends, risks, and actionable factors
  • Document dashboard logic, data dictionaries, and usage guidance to ensure transparency and reproducibility
  • Coordinate with Senior Data Engineer and PM to ensure dashboards align with strategic priorities and leadership needs

Minimum Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related discipline
  • 4+ years of experience in data science, analytics, or related roles
  • Proficiency in Python, SQL, and statistical software (e.g., R, SPSS)
  • Demonstrated experience building predictive models and conducting advanced statistical analysis
  • Strong experience with business intelligence tools, particularly Power BI
  • Familiarity with DoD systems of record (e.g., Envision, TTMS, ADSS, MHS GENESIS)
  • Experience supporting AETC, SOF/AFSPECWAR, or equivalent programs

Preferred Qualifications:
  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related discipline
  • Familiarity with Air Education and Training Command (AETC) and/or AFSPECWAR
  • Experience with prominent DoW programs
  • Familiarity with Palantir Envision and/or Foundry platforms
  • Prior military service or direct experience supporting operational units

Clearance Requirements: N/A

Required Background Check: HireRight background check amp; drug screening
Type of Employment: Full-time
T3i Drug Free Workplace Statement: As a Federal Government Contractor, T3i is required to strictly adhere to federally mandated drug-free workplace standards. To ensure compliance with this requirement, T3i conducts pre-employment drug screening for all new hire personnel (full time, part time, and independent contractor) and annual random drug screening for all current T3i personnel. All drug screening includes testing for the following drugs, at a minimum: Marijuana (CBD, hemp oil, and other cannabidiol use may result in a positive result), cocaine, amphetamines, opiates, 6-monoacetylmorphine, and PCP. Personnel who cannot pass drug screening are not eligible for employment with T3i.
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About T3i

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

San Diego, CA, US

Year founded

2014

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