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

Telework Type: Part-Time Telework * Work Location: Houston, TX, Chandler, AZ, Reston, VA * Only ... USD 159,700 - USD 231,000 annually (salary range is based on market data; final salary offered is ...

Licensed Architect * 10+ years of experience in Science and Technology projects including data ... Actual compensation for part-time roles will be pro-rated based on the agreed number of working ...

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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 Jul 17, 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.

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:
Infographic showing various Part Time Data Engineering job openings in Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,876 per year, or $59.6 per hour.
SCC5 Part-Time Data Specialist - Temp Grant Funded

SCC5 Part-Time Data Specialist - Temp Grant Funded

Alvin Community College

Alvin, TX • On-site

$26.81/hr

Full-time, Part-time, Temporary

Re-posted 17 days ago


Job description

Salary: See Position Description
Location : Alvin College
Job Type: 02. Part-Time
Job Number: FY2526-165
Divison: Workforce & Strategic Initiatives
Department: Career & Technical Programs
Opening Date: 03/02/2026
Hourly Rate $26.81
This is a Part-Time Data Specialist position for the Strengthening Community Colleges Grant Round 5 (SCC5), not to exceed 19 hours per week.
*** This position is temporarily grant-funded. Continuation of the position is subject to grant funding.***
Should a review of your application result in the intent to pursue your candidacy, you will be contacted by phone or email for an interview.
APPLICATION STATUS
Your application status will be updated throughout the review process.
TERMS OF EMPLOYMENT
Requires flexible work schedule to meet program needs, which may include working days, evenings and/or weekends.
May require travel to our main campus in Alvin and/or to various offsite locations, including local high schools in Alvin, Danbury, Manvel and Pearland.
Requires the provision of official transcripts and/or certifications within (30) days of hire.
Applicants with academic credentials from non-U.S. accredited institutions are required to have their coursework evaluated in terms of U.S. "equivalency." All international credential evaluations must be conducted by one of the companies affiliated with the National Association of Credential Evaluation Services, Inc. (NACES®) in order to be considered for a faculty position. Applicants bear the responsibility of requesting, paying associated fees, and obtaining an original transcript evaluation for submission to the Office of Human Resources. Please refer to the NACES® website for further information ().
Alvin Community College is an equal opportunity institution and does not discriminate against anyone on the basis of race, religion, color, sex, pregnancy, gender equity, sexual orientation, parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service or veteran's status.
This is a security sensitive position and requires a criminal history and/or motor vehicle records check.
SUMMARY
SUMMARY
The Strengthening Community Colleges Grant Round 5 (SCC5) Data Specialist works with the grant Project Manager and Director of Institutional Research in completing the evaluation design of the grant project to ensure data collection meets reporting requirements of the SCC5 Grant.
ESSENTIAL DUTIES AND RESPONSIBILITIES
• Assist in the Evaluation design of the grant project.
• Review grant details for data needs and compliance issues
• Prepare and distribute reporting framework and timetable.
• Work effectively with the grant Project Manager to ensure data collection meets reporting requirements.
• Work with the Project Manager and Director of Institutional Research to ensure that all data is collected as required.
• Prepare reports in partnership with programming staff.
• Assist in collecting, evaluating, and analyzing data for established goals.
• Assist in developing statistical reports as required by the grant provider.
• Other duties as assigned.
WORK ENVIRONMENT
The incumbent typically works in an office environment and uses a computer, telephone and other office equipment as needed to perform duties. The noise level in the work environment is typical of that of an office. Incumbent may encounter frequent interruptions throughout the work day.
PHYSICAL DEMANDS
The employee is regularly required to sit, talk, or hear; frequently required to use repetitive hand motion, handle or feel, and to stand, walk, reach, bend or lift up to twenty (20) pounds.
REQUIRED QUALIFICATIONS
• Bachelor's degree in Mathematics, Statistics, or a related field
• One year (1) experience in institutional research or grant-related data collection.
Experience in researching data for community colleges or universities
01
Do you have a bachelor's degree in Mathematics, Statistics, or a related field?
  • Yes
  • No

02
Do you have one year (1) experience in institutional research or grant-related data collection?
  • Yes
  • No

03
Do you have the knowledge, skills and abilities for this position?
  • Yes
  • No

04
Are you bilingual in English/Spanish? If yes, be prepared to answer questions in Spanish.
  • Yes
  • No

05
I acknowledge I have uploaded a copy of ALL my transcripts for ALL degrees conferred.
  • Yes
  • No

06
I acknowledge my application, resume and/or supplemental documents ALL MATCH and provide the same and consistent information; ensuring that beginning and end dates are in the MM/YYYY format.
  • Yes
  • No

Required Question