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Part Time Data Engineering Jobs in Texas (NOW HIRING)

Arcadis

Electrical Engineer - Data Center

Dallas, TX · On-site

$80K - $142K/yr

As an Arcadian, you already help us deliver world leading sustainable design, engineering, and ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

Stantec

Engineering Design Manager

Austin, TX · On-site

Experience in Science and Technology projects including data center, mission critical and ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Booz Allen Hamilton, Inc.

AI Developer

San Antonio, TX · On-site

Bachelor's degree in Computer Science, Software Engineering, or Data Science Nice If You Have ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Texas

Part Time Data Engineering information

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 Texas? The most popular types of Data Engineering jobs in Texas are:
What cities in Texas are hiring for Part Time Data Engineering jobs? Cities in Texas 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 Texas as of June 2026, with employment types broken down into 53% Full Time, 46% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Palantir Foundry Data Engineer (DS L3)

Palantir Foundry Data Engineer (DS L3)

T3i, Inc.

San Antonio, TX

Full-time, Part-time, Contractor

Posted 15 days ago

Job description

Job Summary: The Palantir Foundry Data Engineer serves as the senior technical integrator for the customer’s data ecosystem. This role leads the development of data pipelines, Foundry objects, ontology modeling, and immersive operational dashboards using Palantir Foundry (Envision). The Data Engineer translates operational, training, and human performance data into decision-ready products that enable leadership to forecast performance trends, identify risk factors, and improve training pipeline outcomes. The Data Engineer also coaches junior analysts and ensures analytic repeatability, transparency, and governance across the data environment.
Primary Responsibilities:
  • Design, build, and maintain scalable data pipelines and workflows across multiple DoW systems of record and internal databases
  • Develop Palantir Foundry ontology layers that unify student performance, training progression, attrition, wearable data, and status tracking
  • Construct and maintain Envision and Foundry-based dashboards that provide immersive insights to commanders and staff
  • Implement version-controlled model workflows, transformation logic, and entity mapping to support predictive analytics and operational reporting
  • Lead data validation, security, access control, and QA processes to ensure decision-ready data across enterprise
  • Advise and mentor Data Specialists on data modeling, dashboard development, and workflow optimization using Palantir’s Foundry platform
  • Collaborate directly with government leadership to refine requirements, validate tools, and ensure alignment with mission objectives
  • Contribute to Initial Analysis, POAM development, and annual Program Management Reviews (PMRs) with technical insight and recommendations
Minimum Qualifications:
  • Master’s degree in Data Science, Computer Science, Operations Research, Statistics, Engineering, or related field
  • 5+ years of experience developing analytics pipelines and visualizations in Palantir Foundry / Envision for AETC, DoW, or similar enterprise
  • Advanced proficiency in SQL and Python; familiarity with Spark or PySpark preferred
  • Proficiency using Power BI
  • Demonstrated experience designing and deploying multi-layered data workflows and semantic models
  • Ability to interface with both senior leadership and technical teams
Preferred Qualifications:
  • Familiarity with Air Force training pipelines, the Air Force, or SOCOM training environments
  • Experience integrating wearable, Human Performance, medical, or training performance datasets
  • Prior military service or direct embedded support experience
​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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