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Part Time Data Engineering Jobs in Odessa, TX (NOW HIRING)

Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by ... AST SpaceMobile is seeking an AI Data Operations Manager based in Midland, TX to operate, secure ...

AST SpaceMobile is seeking an AI Data Operations Manager based in Midland, TX to operate, secure ... You will hire, train, schedule, and supervise a part-time labeling workforce on AST's in-house ...

Globally, we deliver engineered oilfield and drilling equipment repair and certification ... Data Analytics: Knowledge of techniques and processes for inspecting, cleansing, transforming, and ...

Part Time Data Engineering information

See Odessa, TX salary details

$44.9K

$130.9K

$179.1K

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

As of Aug 26, 2026, the average yearly pay for part time data engineering in Odessa, TX is $130,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 per year, depending on experience, location, and employer.

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 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 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.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project needs.

What cities near Odessa, TX are hiring for Part Time Data Engineering jobs?

Cities near Odessa, TX with the most Part Time Data Engineering job openings:

Infographic showing various Part Time Data Engineering job openings in Odessa, TX as of August 2026, with employment types broken down into 100% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $130,894 per year, or $62.9 per hour.

AI Lab Manager

Midland, TX • On-site

AST SpaceMobile
Telecommunications • 51 - 200 employees

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 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.
Position Overview:
AST SpaceMobile is seeking an AI Data Operations Manager based in Midland, TX to operate, secure, and run the day-to-day operations of the on-site AI Lab supporting the AI & Autonomy division. You will be the single point of accountability for the lab's physical security, IT and server infrastructure, and the part-time image-labeling workforce that produces the labeled datasets feeding our computer-vision and robotics models. You will enforce strict lab access and information-security rules - no personal phones, photography, personal electronics, or removable storage media inside the lab - and ensure all workstations, GPU servers, storage, and network equipment are properly maintained, patched, and locked down.
You will hire, train, schedule, and supervise a part-time labeling workforce on AST's in-house labeling software, partnering daily with quality inspectors and manufacturing engineers to capture, log, and curate the imagery that trains spacecraft inspection and robotic computer-vision models. This is a hands-on role for a computer-literate, security-conscious operator who is comfortable owning both people and infrastructure.
What You'll Be Doing:
  • Manage the day-to-day operation of the on-site AI Lab in Midland, including opening, securing, and closing the facility and ensuring the lab is locked at all non-operating hours
  • Enforce lab access and information-security rules - no personal cell phones, cameras, photography, personal electronics, or removable storage media (USB sticks, SD cards, external drives) inside the lab - and maintain visitor logs and badge access controls
  • Hire, onboard, schedule, and supervise a part-time computer-vision image-labeling workforce, ensuring consistent shift coverage and adequate throughput on labeling queues
  • Train labelers on AST's in-house image-labeling software, including labeling conventions, ontology updates, quality standards, escalation paths, and productivity expectations
  • Monitor labeling output for accuracy and consistency, run calibration and inter-rater agreement checks, and provide ongoing coaching and corrective feedback to the labeling team
  • Partner daily with manufacturing quality inspectors and engineers to plan, capture, log, and ingest images and short-form video of spacecraft components and assembly steps used to train computer-vision and robotics models
  • Maintain the lab's image- and video-capture workflow: managing camera rigs, lighting, fixtures, capture protocols, file naming, metadata, and chain-of-custody from the factory floor into lab storage
  • Manage and maintain lab compute resources including workstations, GPU servers, storage arrays, networking equipment, and backup systems; coordinate with Corporate IT on patching, imaging, account provisioning, and ticket resolution
  • Track and audit lab assets, software licenses, peripherals, and consumables; maintain accurate inventory and asset-tag records
  • Own lab safety, ESD, and housekeeping standards, ensuring the workspace meets manufacturing-floor cleanliness and electrical-safety expectations
  • Maintain operational runbooks, standard operating procedures, training materials, and security policies for the lab; lead periodic security reviews and access audits
  • Report on lab utilization, labeling throughput, dataset growth, security incidents, and infrastructure health to the Chief of AI and Autonomy

What You Bring:
  • 3+ years of experience managing a lab, secure operations area, IT/data center, or other controlled-access environment
  • Demonstrated security-conscious mindset with experience enforcing access-control, information-security, or export-controlled workspace rules
  • Strong computer literacy: comfortable administering Windows and/or Linux workstations, identity tooling (Active Directory or equivalent), basic networking, and standard productivity tools
  • Experience supervising and training an hourly or part-time workforce, including scheduling, performance feedback, and quality oversight
  • Comfort partnering with engineers and shop-floor technicians in a manufacturing or hardware environment
  • Strong written and verbal communication and meticulous documentation habits
  • Ability to be physically on-site in Midland, TX and to occasionally support extended or off-shift hours during high-throughput campaigns
  • High school diploma or equivalent
  • Must be legally authorized to work in the United States

Preferred:
  • Prior experience supporting computer vision, machine learning, or data-labeling operations
  • Familiarity with image-labeling tooling (e.g., CVAT, Labelbox, Scale, or in-house equivalents) and labeling QA practices
  • Experience administering GPU workstations or servers (NVIDIA driver / CUDA toolchains)
  • Background in aerospace, defense, or other ITAR / export-controlled environments
  • Experience with badge access systems, video surveillance, and facility access auditing
  • Familiarity with manufacturing quality processes, Automated Optical Inspection (AOI), or visual inspection workflows
  • Coursework or certifications in IT, cybersecurity, networking, or facility security
  • Associate or bachelor's degree preferred

Physical Requirements & Work Environment:
  • Ability to stand and walk for extended periods of time.
  • Ability to use hands and fingers to perform repetitive and precision tasks.
  • Ability to climb, balance, bend, stoop, kneel, and reach as required to perform job duties.
  • Ability to communicate effectively, including talking and hearing.
  • Ability to work in, on, around, and in proximity to large structures, equipment, and tooling.
  • Ability to lift, push, and/or carry items up to 15 pounds as required.
  • Ability to work near moving mechanical parts and equipment.
  • Ability to work in and around tight or confined spaces.
  • Ability to work in environments that may include exposure to fumes, airborne particles, and/or hazardous materials (e.g., carbon fiber).
  • Ability to work in an office setting with periodic exposure to operational, manufacturing, warehouse, or production areas.
  • Ability to work in environments that may include moderate noise levels when entering operational or manufacturing spaces.
  • Ability to work in multiple departments, buildings, or operational areas during the workday.
  • Ability to work in extended computer usage and prolonged periods at a workstation.

Benefits: (Eligibility dependent)
  • Medical, dental, vision
  • 401(k) (pre-tax & Roth)
  • Life insurance, disability coverage
  • HSA, transportation benefits
  • Employee Assistance Program
  • PTO / sick leave

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.