Python Engineer Jobs in Texas
Python Engineer jobs in Texas are among the most active in the country, with strong demand from entry-level roles through senior and staff engineers concentrated in enterprise software, financial technology, energy tech, and defense contracting. Austin, Dallas, and Houston lead hiring volume, anchored by employers like Dell Technologies, JPMorgan Chase, and ExxonMobil, which maintain large Texas engineering operations. The most sought-after specialties are data pipeline development, machine learning infrastructure, and cloud-native backend systems. Find a role that fits below and apply directly.
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Job Description:
About Dimensional:
Dimensional was built around a set of ideas bigger than the firm itself. With a confidence in markets, deep connections to the academic community, and a focus on implementation, we go where the science leads, and continue to pursue new insights, both large and small, that can benefit our clients.
The Technology Department at Dimensional leverages the rapidly evolving state of the art to engineer the platforms that power the innovative, research-driven financial and technical products to improve our client’s financial lives.
As a Senior Python Engineer within the Data Distribution team you will participate in the management of Dimensional’s enterprise investment data warehouse which supports Research, Portfolio management, Trading, and Analytic functions. You will have the opportunity to understand our client's needs, collaborate on the design of solutions, and work with emerging data engineering tools and best practices. In this role, you will design, develop, document, and test multiple application services focusing on building scalable data platform and services. You will also expand and optimize our data and data pipeline architecture. A successful candidate will demonstrate strong technical and analytical ability across multiple tech stacks as well as bring passion for optimizing and building data applications from the ground up.
You may be a fit for this role if you:
Are open-minded, curious, and resourceful.
Lead with vision and purpose to bring about transformational change.
Are passionate about/stay current with modern technologies/solutions.
Solve problems systematically and transparently.
Share ideas, solicit/integrate feedback, design and solve collaboratively.
Demonstrate engineering and security mindsets.
What you might work on:
Build and deliver investment data technology solutions in support of Research, Portfolio Management, Trading, Analytics and Reporting functions.
Formulate, design, develop, test, and deliver data technology solutions with a balanced focus on speed and quality.
Collaborate with business analysts, product owners, and project managers to develop user stories, estimates, and work plans.
Work with minimal supervision and advise business clients and IT management of technology capabilities and recommend strategies to maximize the benefits of new technologies.
Identify, design, and implement changes to data pipelines at various stages including data ingestion, data validation, and quality control, data integration, storage, management, and data delivery.
Write unit/integration tests, contribute to engineering wiki, and write detailed documentation
Build high-performance and scalable data-transfer toolsets which reliably transfer datasets between endpoints within established SLA's.
Focus on data consistency, refresh rates and caching requirements while keeping the data current across a variety of interfaces.
Build and enhance CI/CD pipelines and develop supportable solutions. Participate in code and design reviews.
Provide technical troubleshooting and support for production systems.
Qualifications:
Bachelor’s degree in engineering, math, computer science, or a related field, or equivalent work experience.
4-5 years of programming experience in Python (open source) or equivalent.
Proficiency in building RESTful APIs and web services.
4-5 years of SQL experience.
Proven track record of leveraging SOLID principles and Domain Driven Design to drive successful outcomes.
Experience in high performance and high availability data applications including expertise in performance optimization and tuning.
Experience with automated acceptance testing and ability to write unit-tested, maintainable code.
Strong understanding of cyber security risks and demonstrated ability to design and build highly secure applications.
Experience working in a dynamic and interactive team environment to build world-class software implementations.
Knowledge of best practices and IT operations in an always-up, always-available service.
Experience working with both Agile/Scrum and waterfall methodologies with a software development and integration focus.
Preferred Competencies:
Master’s degree in engineering, math, computer science, or a related field
Proficiency with NoSQL database implementation and optimization
Ability to work on multiple programming languages and platforms is strongly preferred
Financial services industry knowledge or experience
Experience with the following:
Kafka
Airflow
PostrgeSQL
Ansible
Elastic Stack
RabbitMQ
Redis
Docker
Okta, OAuth2, PlainID
Dimensional offers a variety of programs to help take care of you, your family, and your career, including comprehensive benefits, educational initiatives, and special celebrations of our history, culture, and growth.
It is the policy of the Company to provide equal opportunity for all employees and applicants. The Company recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to actual or perceived race, color, religion, religious practice, creed, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), caregiver status, gender, gender identity, gender expression, transgender identity, national origin, age, mental or physical disability, ancestry, medical condition, marital status, familial status, domestic partnership status, military or veteran status or service, unemployment status, citizenship status or alienage, sexual orientation, status as a victim of domestic violence, status as a victim of stalking, status as a victim of sex offenses, genetic information, political activities or recreational activities, arrest or conviction record, salary history, natural hairstyle or any other status protected by applicable law except as otherwise required or permitted by law or regulation applicable to the Company or its affiliates.
Job Description:
About Dimensional:
Dimensional was built around a set of ideas bigger than the firm itself. With a confidence in markets, deep connections to the academic community, and a focus on implementation, we go where the science leads, and continue to pursue new insights, both large and small, that can benefit our clients.
The Technology Department at Dimensional leverages the rapidly evolving state of the art to engineer the platforms that power the innovative, research-driven financial and technical products to improve our client’s financial lives.
As a Senior Python Engineer within the Data Distribution team you will participate in the management of Dimensional’s enterprise investment data warehouse which supports Research, Portfolio management, Trading, and Analytic functions. You will have the opportunity to understand our client's needs, collaborate on the design of solutions, and work with emerging data engineering tools and best practices. In this role, you will design, develop, document, and test multiple application services focusing on building scalable data platform and services. You will also expand and optimize our data and data pipeline architecture. A successful candidate will demonstrate strong technical and analytical ability across multiple tech stacks as well as bring passion for optimizing and building data applications from the ground up.
You may be a fit for this role if you:
Are open-minded, curious, and resourceful.
Lead with vision and purpose to bring about transformational change.
Are passionate about/stay current with modern technologies/solutions.
Solve problems systematically and transparently.
Share ideas, solicit/integrate feedback, design and solve collaboratively.
Demonstrate engineering and security mindsets.
What you might work on:
Build and deliver investment data technology solutions in support of Research, Portfolio Management, Trading, Analytics and Reporting functions.
Formulate, design, develop, test, and deliver data technology solutions with a balanced focus on speed and quality.
Collaborate with business analysts, product owners, and project managers to develop user stories, estimates, and work plans.
Work with minimal supervision and advise business clients and IT management of technology capabilities and recommend strategies to maximize the benefits of new technologies.
Identify, design, and implement changes to data pipelines at various stages including data ingestion, data validation, and quality control, data integration, storage, management, and data delivery.
Write unit/integration tests, contribute to engineering wiki, and write detailed documentation
Build high-performance and scalable data-transfer toolsets which reliably transfer datasets between endpoints within established SLA's.
Focus on data consistency, refresh rates and caching requirements while keeping the data current across a variety of interfaces.
Build and enhance CI/CD pipelines and develop supportable solutions. Participate in code and design reviews.
Provide technical troubleshooting and support for production systems.
Qualifications:
Bachelor’s degree in engineering, math, computer science, or a related field, or equivalent work experience.
4-5 years of programming experience in Python (open source) or equivalent.
Proficiency in building RESTful APIs and web services.
4-5 years of SQL experience.
Proven track record of leveraging SOLID principles and Domain Driven Design to drive successful outcomes.
Experience in high performance and high availability data applications including expertise in performance optimization and tuning.
Experience with automated acceptance testing and ability to write unit-tested, maintainable code.
Strong understanding of cyber security risks and demonstrated ability to design and build highly secure applications.
Experience working in a dynamic and interactive team environment to build world-class software implementations.
Knowledge of best practices and IT operations in an always-up, always-available service.
Experience working with both Agile/Scrum and waterfall methodologies with a software development and integration focus.
Preferred Competencies:
Master’s degree in engineering, math, computer science, or a related field
Proficiency with NoSQL database implementation and optimization
Ability to work on multiple programming languages and platforms is strongly preferred
Financial services industry knowledge or experience
Experience with the following:
Kafka
Airflow
PostrgeSQL
Ansible
Elastic Stack
RabbitMQ
Redis
Docker
Okta, OAuth2, PlainID
Dimensional offers a variety of programs to help take care of you, your family, and your career, including comprehensive benefits, educational initiatives, and special celebrations of our history, culture, and growth.
It is the policy of the Company to provide equal opportunity for all employees and applicants. The Company recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to actual or perceived race, color, religion, religious practice, creed, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), caregiver status, gender, gender identity, gender expression, transgender identity, national origin, age, mental or physical disability, ancestry, medical condition, marital status, familial status, domestic partnership status, military or veteran status or service, unemployment status, citizenship status or alienage, sexual orientation, status as a victim of domestic violence, status as a victim of stalking, status as a victim of sex offenses, genetic information, political activities or recreational activities, arrest or conviction record, salary history, natural hairstyle or any other status protected by applicable law except as otherwise required or permitted by law or regulation applicable to the Company or its affiliates.
See All 45 Python Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Python Engineer JobsPython Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Python Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Capital One11
- JPMorganChase10
- Citi2
- EPAM Systems2
- HEB1
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Retail
- Construction & Real Estate
- Investment & Asset Management
What Texas Employers Look For
The qualifications that appear most often in python engineer jobs across Texas.
- Bachelor's degree in computer science, software engineering, or a closely related technical field
- Proficiency in Python with demonstrated experience building production-grade applications or services
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with data engineering tools like Apache Spark, Airflow, or SQL-based pipelines
- Experience with version control, CI/CD workflows, and collaborative development practices
- Strong communication skills and ability to work across cross-functional engineering and product teams
Python Engineer Jobs in Texas: Frequently Asked Questions
How do you become a python engineer in Texas?
Python engineering in Texas has no state-issued license or registration requirement, so the path runs through education and demonstrated skills. Most Texas employers expect a bachelor's degree in computer science, software engineering, or a related field, though bootcamp graduates with strong portfolios are regularly hired at companies in Austin and Dallas. Building projects in data engineering, cloud infrastructure, or machine learning gives candidates a practical edge in the Texas market.
How much do python engineers make in Texas?
Python engineers in Texas earn a median of about $132,150 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $82,600 for the lowest 10% to over $183,680 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire python engineers in Texas?
Employers hiring python engineers in Texas right now include Capital One, JPMorganChase, and Citi, based on current listings on Migrate Mate as of October 2026. Texas's concentration of financial services firms, energy companies, and large tech campuses means python engineer openings appear across a wide range of industries rather than clustering in a single sector.
Which Texas cities have the most python engineer jobs?
Plano, Houston, and Dallas have the most python engineer openings in Texas. Austin's dense tech ecosystem drives the largest share of roles, while Dallas benefits from major corporate headquarters in finance and telecom, and Houston's energy and healthcare sectors generate consistent backend and data engineering demand.
Are there remote python engineer jobs in Texas?
Yes, and more than most fields. About 80% of python engineer openings tied to Texas are remote or hybrid as of October 2026, reflecting how naturally the role suits distributed work. Backend development, data pipeline work, and ML engineering are the sub-areas most commonly offered with remote or flexible arrangements by Texas employers.
How can I get hired as a python engineer in Texas with little or no experience?
The most realistic entry path is targeting associate software engineer or junior data engineer roles at mid-size Texas tech companies and large employers in Austin and Dallas that run structured new-grad programs. Dell Technologies, American Airlines, and USAA are among the Texas-based organizations known for onboarding early-career engineers. Coming in from a QA automation or data analyst role is a common lateral move, and a portfolio of deployed Python projects strengthens any application without prior professional experience.
Where can I find and apply to python engineer jobs in Texas?
You can find and apply to python engineer jobs in Texas on Migrate Mate, which lists current Texas openings across industries and experience levels. Find the roles that fit your background and apply directly from the listings on this page.
See All 45 Python Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Python Engineer Jobs