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Part Time Data Engineer Jobs in Texas (NOW HIRING)

Data Analyst, Mid

San Antonio, TX ยท On-site

$61K - $141K/yr

Collaborate with engineering teams to productionize datasets and assist with refresh schedules ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Regular FT Part-Time Available: No Eligible for US Work Authorization Sponsorship: No FLSA ... data management. The position supports development of robust FEL deliverables and ensures ...

As an experienced AI engineer, you know that AI systems are critical to understanding and ... Experience building secure data foundations on enterprise cloud platforms such as AWS, governed ...

Telework Type: Part-Time Telework * Work Location: Houston, TX, Chandler, AZ Extraordinary teams ... and data center markets. M&T strives to exceed our customer objectives through utilizing our ...

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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 3, 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.
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Visual Data Labeling Technician I (Part-Time)

Visual Data Labeling Technician I (Part-Time)

AST SpaceMobile

Midland, TX โ€ข On-site

$20/hr

Part-time

Posted 18 days ago


Job description

AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today's five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.
Role Summary
AST SpaceMobile is hiring part-time Visual Data Labeling Technician I in Midland, TX to label imagery of spacecraft components, sub-assemblies, and factory-floor assembly steps used to train AST's computer-vision and robotics AI models.
Working on-site in the AI Lab, you will use AST's in-house labeling software to draw bounding boxes, polygons, and segmentation masks; classify components and defects; and follow detailed labeling guidelines defined by AST's data scientists and manufacturing quality engineers. This is a high-precision, security-controlled role: the lab is a no-personal-electronics environment, and your accuracy and consistency directly determine the quality of the AI models AST relies on for visual inspection and robotic operation.
The role is well suited to detail-oriented people who enjoy focused screen work, take pride in careful documentation, and want to contribute to the next generation of space-based connectivity.
Key Responsibilities
  • Label images and short video clips of spacecraft components, sub-assemblies, and assembly steps using AST's in-house computer-vision labeling software
  • Apply bounding boxes, polygons, segmentation masks, keypoints, and classification tags according to AST's labeling guidelines and ontology
  • Maintain a high level of accuracy and consistency across labeling tasks, meeting throughput and quality targets set by the AI Lab Manager
  • Flag ambiguous, defective, or unusual images for review by quality inspectors, engineers, or data scientists
  • Participate in calibration sessions, inter-rater agreement reviews, and ontology refinement discussions
  • Follow all AI Lab security and operations rules, including no personal cell phones, cameras, personal electronics, or removable storage media in the lab
  • Maintain accurate logs of completed work batches, time on task, and any issues encountered
  • Partner with the AI Lab Manager and quality inspectors during on-floor image-capture sessions when required

Required Qualifications
  • High school diploma or equivalent
  • Strong attention to detail and ability to maintain accuracy on repetitive visual tasks for sustained periods
  • Basic computer literacy: comfortable using a mouse, keyboard, and web-based or desktop labeling tools
  • Ability to follow written instructions, ontologies, and quality guidelines closely
  • Ability to be physically on-site in Midland, TX for the agreed part-time schedule
  • Willingness to comply with strict no-personal-electronics, no-photography, and no-removable-media lab rules

Preferred Qualifications
  • Prior experience with image annotation, data labeling, or QA work
  • Familiarity with labeling tools such as CVAT, Labelbox, Scale, or similar platforms
  • Background in manufacturing quality, optical inspection, photography, or technical documentation
  • Interest in AI, computer vision, robotics, or aerospace
  • Coursework or certificate in computer technology, drafting, electronics, or related field

Compensation & Benefits
  • Base hourly rate of $20.00/ hour
  • Part-time, on-site role in Midland, TX
  • Opportunity to contribute directly to AI models that support spacecraft manufacturing and operations
  • We are flexible with work hours between 8am and 6pm, Monday through Friday. We are able to work around school schedules, daycare, and appointments. Great part time work!

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands.
AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.