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

Stantec

Transportation Engineer in Training

Plano, TX · On-site

$69K - $91K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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

Plutus Health

Salesforce Developer

Dallas, TX · On-site

$55 - $72.75/hr

WFO Terms-Fulltime/Part time/Contractual: Fulltime Job Summary As a Salesforce developer, you play ... Knowledge of options and handling security requirements such as single sign-on and data security.

Compass Group

JANITOR (PART TIME)

Haltom City, TX

$17/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Compass Group

JANITOR (PART TIME)

Haltom City, TX · On-site

$17/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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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Showing results 41-60

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

Part Time Data Engineering information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

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

As of Aug 14, 2026, the average yearly pay for part time data engineering in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 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 Dallas, TX?

The most popular types of Data Engineering jobs in Dallas, TX are:

What are popular job titles related to Part Time Data Engineering jobs in Dallas, TX?

For Part Time Data Engineering jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Part Time Data Engineering jobs in Dallas, TX look for?

The top searched job categories for Part Time Data Engineering jobs in Dallas, TX are:

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

Cities near Dallas, 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 Dallas, TX as of August 2026, with employment types broken down into 100% Part Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

Senior Software Engineer, Global Banking & Markets, Front Office Technology

Goldman Sachs, Inc.

Dallas, TX

$121K - $159K/yr

Full-time, Part-time

Re-posted 7 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 171 rated banks

Job description

What We Do

At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Drive new businesses, redefine finance using AI, and seize opportunities at market speed.

In an era defined by AI, Engineering isn't just central - it's the driving force behind our business. Our dynamic environment demands innovative strategic thinking and immediate, impactful solutions. Ready to push the limits of digital possibility? Begin your journey here.

Who We Look For

Goldman Sachs Engineers are at the forefront of innovation, driving solutions as creative collaborators in a fast-paced global environment. We seek individuals who evolve, adapt, and thrive on challenging problems.

As a Front Office Engineer, you will be instrumental in developing cutting-edge software solutions. Your responsibilities will include designing and implementing robust, low-latency systems crucial for pricing, quoting, and hedging a diverse range of financial instruments, such as USTs, Swaps, and MBS. You will also develop innovative platforms that enable efficient risk and P&L management for our trading desks. A key aspect of your role will involve leveraging AI-driven analytics for sophisticated data analysis and to inform predictive pricing strategies.

Basic Qualifications

  • Advanced degree in Computer Science (or equivalent work experience). 
  • Minimum 5 years of relevant professional experience using a modern programming language (Java, C/C++, Python).
  • Strong analytical skills, ability to quickly identify scope and impact of issues.
  • Team oriented mindset with strong interpersonal and communication skills.
  • Energetic, self-directed, and self-motivated.

Preferred Qualifications

  • Experience in Financial Services or Fintech.
  • Proven ability to lead engineering teams and deliver complex products with multiple stakeholders.
  • Experience with AWS.
  • Experience working on high availability, mission critical systems.
  • Experience with microservice architectures (SOA).
  • Experience engineering solutions with distributed tracing, performance testing, authentication, authorization
  • Experience with UNIX operating systems internals, infrastructure as code (Terraform), and networking.
  • Proficiency with algorithms, data structures, and software design.

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. 

Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

The Goldman Sachs Group, Inc., 2026. All rights reserved.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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