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

Stantec

Transportation Engineer in Training

Houston, TX · On-site

$70K - $92K/yr

... engineering projects. Your Key Responsibilities * Perform Roadway and Highway geometric design ... Perform field work to collect data or observe projects under construction Education and Experience

Bechtel

Power Platform Developer

Houston, TX

Telework Type: Part-Time Telework * Work Location: Houston, TX Extraordinary teams building ... engineering, or capital project environments. * Familiarity with Dataverse or other project data ...

Bechtel

Power Platform Developer

Houston, TX · On-site

Telework Type: Part-Time Telework * Work Location: Houston, TX Extraordinary teams building ... engineering, or capital project environments. * Familiarity with Dataverse or other project data ...

Compass Group

FLOOR TECHNICIAN (PART TIME)

Houston, TX · On-site

$16.55/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... Engineering, Sustainability, Janitorial & Industrial Cleaning, Laboratory Support and Workplace ...

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

Part Time Data Engineering information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

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

As of Aug 9, 2026, the average yearly pay for part time data engineering in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 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.

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 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 Houston, TX? The most popular types of Data Engineering jobs in Houston, TX are:
What cities near Houston, TX are hiring for Part Time Data Engineering jobs? Cities near Houston, 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 Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

Archaeological Field Technician (Part-Time)

Johnson, Mirmiran & Thompson, Inc.

Houston, TX • On-site

$23 - $27/hr

Part-time, Per diem

Re-posted 28 days ago

Johnson, Mirmiran & Thompson rating

9.8

Company rating: 9.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 446 rated engineering

Job description

Johnson, Mirmiran & Thompson is a dynamic, 100% employee-owned consulting firm of more than 2,400 professionals that provides a full range of multi-disciplined engineering, architecture, information technology, and related services to public agencies and private clients throughout the United States. JMT, is currently ranked #45 on Engineering News-Record’s list of the Top 500 Design Firms.

Position Summary:  Johnson, Mirmiran & Thompson (JMT) is seeking a part-time Archaeological Field Technician to assist with Phase I through Phase III archaeological investigations. A Bachelor’s degree in anthropology or a related field and prior experience in all phases of archaeological investigation are required. Preference will be given to candidates with experience in Texas and Southeastern United States. Successful applicants will be considered for anticipated long-term projects in the region.  

Immigration sponsorship or support (e.g. H1B, F-1 CPT/OPT/STEM OPT) is not available for this position, except for qualified candidates eligible for the TN visa classification.

Lodging (individual hotel room) and per diem will be provided. Drive time to and from the project area will also be compensated.  Rate based on experience, and number of hours per week will be based on project workload.  

Compensation is $23.00 - $27.00/hour, commensurate with experience, education, and certifications.

Essential Functions and Responsibilities

  • Assist Project and Senior Archaeologists during field work
  • Assist with archaeological survey, involving the hand-excavation of Shovel Test Pits (STPs) and mechanical backhoe trenching.
  • Assist with testing and/or data recovery involving controlled unit excavation work
  • Aid in identifying any pre-contact or historic artifacts encountered during the STPs, backhoe trench, or test unit excavation

Nonessential Functions and Responsibilities

  • Perform other related duties as assigned

Required Skills
  • Must successfully complete and pass JMT's Motor Vehicle screening
  • Valid Driver’s License Required

Required Experience
  • Bachelor's degree or an Associate’s degree and 5+ years of experience in Archaeology, Anthropology, or a related field 
  • Completed an accredited archaeological field school
  • Prior experience in all phases of archaeological investigation
  • Ability to perform physically demanding tasks in adverse environmental conditions (e.g., rugged terrain, remote locations, hot and cold temperatures)
  • Solid organizational skills, communication skills, strong work ethic, and willingness to learn new tasks

Preferred Experience

  • Experience with GPS/Trimble navigation and data collection
  • Experience in CRM-based archaeological survey and/or excavation
  • Knowledge of Texas and/or Southeastern US history and prehistory
  • Knowledge of historic/prehistoric material culture and artifact processing
  • Ability to navigate using compass and USGS topographic map
  • Ability to develop site maps and excavation drawings

Working Conditions

Work is performed in the field 95% of the time. Ability to extensively perform bending, kneeling, standing, shoveling, and lifting and carrying objects weighing up to 25 lbs as needed. Work may be conducted outside in heat/cold, wet/humid, and dry/arid conditions.

Work is performed within a general office environment 5% of the time. Office work is generally sedentary in nature, but may require occasional standing and walking. Lighting and temperature are adequate and there are no hazardous or unpleasant conditions caused by noise, dust, etc. within the office environment.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other characteristic protected by state or federal law. 

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