Data Science Engineer Jobs in Texas
Data Science Engineer jobs in Texas are in strong and sustained demand, concentrated in energy analytics, financial technology, healthcare informatics, and defense and aerospace systems across experience levels from entry-level analyst to principal engineer. The largest hiring metros are Houston, Dallas-Fort Worth, and Austin, where employers such as ExxonMobil, AT&T, and Dell Technologies maintain significant data science engineering teams. The most sought-after specialties in Texas listings include machine learning pipeline development, real-time data infrastructure, and cloud-native MLOps. Find a role that fits below and apply directly.
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Showing 5 of 1,052+ Data Science Engineer jobs
INTRODUCTION
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
ABOUT SALESFORCE
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. GPS Strategic Operations comprises three Centers of Excellence (CoE): RFx, Framework Agreements, and Product Operations. We operate as "one Salesforce" leveraging human expertise and AI agents to deliver innovative solutions in RFx bid management, educational C360 and AI customer references & content, product operations execution, and strategic framework agreement strategies. We support both GPS and Non-GPS business units and lines of business globally—specifically Public Sector, Education, and Nonprofits—to drive revenue and manage risk in alignment with the financial plan.
Position Summary
We are seeking an innovative AI Operations Engineer to lead the development, optimization, and continuous improvement of AI-powered operational processes, tools, and platforms across the GPS Strategic Operations organization. This role serves as the bridge between cross-functional business operations, technology, and artificial intelligence, driving the adoption of AI solutions that improve efficiency, quality, scalability, and decision-making. The AI Operations Engineer will be responsible for managing and evolving systems that support bid management, framework and contract operations, knowledge management, content lifecycle management, workflow automation, and other business-critical processes. This role will identify opportunities to leverage AI, automation, and data-driven solutions across multiple operational functions while ensuring governance, compliance, and operational excellence.
KEY RESPONSIBILITIES
AI Operations & Process Innovation:
- Identify, evaluate, and implement AI-driven solutions that improve operational efficiency, productivity, and business outcomes.
- Design and optimize workflows that incorporate generative AI, machine learning, automation, and intelligent knowledge retrieval.
- Lead continuous improvement initiatives across operational functions, leveraging AI technologies to reduce manual effort and increase scalability.
- Monitor emerging AI technologies and recommend practical applications aligned with organizational goals.
- Drive adoption of new Salesforce capabilities (Agentforce, Tableau, Data Cloud) within operations workflows.
- Architect agent-to-agent (A2A) automation patterns that connect GPS systems end-to-end with minimal human intervention.
Bid Management Operations:
- Support and enhance systems, tools, and processes used for bid management, proposal development, framework management, and contract-related operations.
- Develop AI-assisted workflows that streamline opportunity assessment, response generation, compliance validation, content retrieval, and submission processes.
- Improve operational visibility through reporting, analytics, and performance dashboards.
- Collaborate with business stakeholders to standardize and optimize bid and framework management processes.
- Architect agent-to-agent (A2A) automation patterns that connect tooling and systems end-to-end with minimal human intervention.
- Works closely with RFx leads, Bid Managers, AEs, SEs, AVPs, RVPs, and Salesforce platform/IT partners.
Knowledge & Content Operations:
- Manage and improve knowledge repositories, content libraries, and structured information sources used across operational functions.
- Implement AI-powered search, retrieval, summarization, and content recommendation capabilities.
- Establish governance processes to ensure information accuracy, consistency, security, and compliance.
- Develop strategies for content reuse, knowledge sharing, and organizational learning.
- Ensure Salesforce data integrity across Data 360 in Utopia.
Systems & Tool Management:
- Administer and optimize AI-enabled operational platforms and business systems.
- Configure integrations between AI tools, CRM platforms, document management systems, collaboration tools, and enterprise applications.
- Support the deployment and adoption of new technologies and automation solutions.
- Ensure system reliability, performance, scalability, and security.
- Own and evolve the GPS Salesforce (Utopia) instance: object model, process automation, validation rules, and data quality.
AI Governance & Enablement:
- Establish best practices for AI usage, content validation, data management, and operational governance.
- Develop standards for prompt engineering, AI-assisted workflows, and human-in-the-loop review processes.
- Train and support users in the effective adoption of AI tools and capabilities.
- Measure and report on AI adoption, operational impact, and return on investment.
- Document and maintain technical runbooks, system architecture diagrams, and integration maps.
QUALIFICATIONS
Required
- Bachelor's degree in Business, Information Systems, Computer Science, Engineering, Data Analytics, or a related field, or equivalent experience.
- Experience supporting operational systems, business process improvement, workflow automation, or technology enablement initiatives.
- Understanding of generative AI, large language models (LLMs), automation platforms, and AI-enabled business processes.
- Experience managing cross-functional projects and collaborating with both technical and business stakeholders.
- Strong analytical, problem-solving, and process optimization skills.
Preferred
- Experience supporting bid management, proposal operations, framework management, procurement, sales operations, contract operations, or knowledge management functions.
- Familiarity with AI platforms, prompt engineering, retrieval-augmented generation (RAG), workflow automation tools, and API integrations.
- Experience with CRM platforms, knowledge management systems, document repositories, business intelligence tools, and enterprise collaboration platforms.
- Understanding of AI governance, compliance, and operational risk management.
KEY COMPETENCIES
- AI & Digital Innovation Mindset
- Strategic Thinking & Problem Solving
- Project Management & Execution
- Attention to Detail & Governance Rigor
- Stakeholder Coordination & Influence
- Process Improvement & Systems Thinking
SUCCESS MEASURES
- Increased operational efficiency through AI and automation initiatives.
- Improved quality, consistency, and accessibility of organizational knowledge and content.
- Increased adoption and utilization of AI-enabled tools and workflows.
- Reduced cycle times for operational processes, bids, frameworks, and related activities.
- Enhanced reporting, visibility, and data-driven decision-making across business functions.
- Successful delivery of scalable AI solutions that create measurable business value.
UNLEASH YOUR POTENTIAL
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
ACCOMMODATIONS
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt-out options.
POSTING STATEMENT
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $123,100 - $186,300 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
INTRODUCTION
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
ABOUT SALESFORCE
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. GPS Strategic Operations comprises three Centers of Excellence (CoE): RFx, Framework Agreements, and Product Operations. We operate as "one Salesforce" leveraging human expertise and AI agents to deliver innovative solutions in RFx bid management, educational C360 and AI customer references & content, product operations execution, and strategic framework agreement strategies. We support both GPS and Non-GPS business units and lines of business globally—specifically Public Sector, Education, and Nonprofits—to drive revenue and manage risk in alignment with the financial plan.
Position Summary
We are seeking an innovative AI Operations Engineer to lead the development, optimization, and continuous improvement of AI-powered operational processes, tools, and platforms across the GPS Strategic Operations organization. This role serves as the bridge between cross-functional business operations, technology, and artificial intelligence, driving the adoption of AI solutions that improve efficiency, quality, scalability, and decision-making. The AI Operations Engineer will be responsible for managing and evolving systems that support bid management, framework and contract operations, knowledge management, content lifecycle management, workflow automation, and other business-critical processes. This role will identify opportunities to leverage AI, automation, and data-driven solutions across multiple operational functions while ensuring governance, compliance, and operational excellence.
KEY RESPONSIBILITIES
AI Operations & Process Innovation:
- Identify, evaluate, and implement AI-driven solutions that improve operational efficiency, productivity, and business outcomes.
- Design and optimize workflows that incorporate generative AI, machine learning, automation, and intelligent knowledge retrieval.
- Lead continuous improvement initiatives across operational functions, leveraging AI technologies to reduce manual effort and increase scalability.
- Monitor emerging AI technologies and recommend practical applications aligned with organizational goals.
- Drive adoption of new Salesforce capabilities (Agentforce, Tableau, Data Cloud) within operations workflows.
- Architect agent-to-agent (A2A) automation patterns that connect GPS systems end-to-end with minimal human intervention.
Bid Management Operations:
- Support and enhance systems, tools, and processes used for bid management, proposal development, framework management, and contract-related operations.
- Develop AI-assisted workflows that streamline opportunity assessment, response generation, compliance validation, content retrieval, and submission processes.
- Improve operational visibility through reporting, analytics, and performance dashboards.
- Collaborate with business stakeholders to standardize and optimize bid and framework management processes.
- Architect agent-to-agent (A2A) automation patterns that connect tooling and systems end-to-end with minimal human intervention.
- Works closely with RFx leads, Bid Managers, AEs, SEs, AVPs, RVPs, and Salesforce platform/IT partners.
Knowledge & Content Operations:
- Manage and improve knowledge repositories, content libraries, and structured information sources used across operational functions.
- Implement AI-powered search, retrieval, summarization, and content recommendation capabilities.
- Establish governance processes to ensure information accuracy, consistency, security, and compliance.
- Develop strategies for content reuse, knowledge sharing, and organizational learning.
- Ensure Salesforce data integrity across Data 360 in Utopia.
Systems & Tool Management:
- Administer and optimize AI-enabled operational platforms and business systems.
- Configure integrations between AI tools, CRM platforms, document management systems, collaboration tools, and enterprise applications.
- Support the deployment and adoption of new technologies and automation solutions.
- Ensure system reliability, performance, scalability, and security.
- Own and evolve the GPS Salesforce (Utopia) instance: object model, process automation, validation rules, and data quality.
AI Governance & Enablement:
- Establish best practices for AI usage, content validation, data management, and operational governance.
- Develop standards for prompt engineering, AI-assisted workflows, and human-in-the-loop review processes.
- Train and support users in the effective adoption of AI tools and capabilities.
- Measure and report on AI adoption, operational impact, and return on investment.
- Document and maintain technical runbooks, system architecture diagrams, and integration maps.
QUALIFICATIONS
Required
- Bachelor's degree in Business, Information Systems, Computer Science, Engineering, Data Analytics, or a related field, or equivalent experience.
- Experience supporting operational systems, business process improvement, workflow automation, or technology enablement initiatives.
- Understanding of generative AI, large language models (LLMs), automation platforms, and AI-enabled business processes.
- Experience managing cross-functional projects and collaborating with both technical and business stakeholders.
- Strong analytical, problem-solving, and process optimization skills.
Preferred
- Experience supporting bid management, proposal operations, framework management, procurement, sales operations, contract operations, or knowledge management functions.
- Familiarity with AI platforms, prompt engineering, retrieval-augmented generation (RAG), workflow automation tools, and API integrations.
- Experience with CRM platforms, knowledge management systems, document repositories, business intelligence tools, and enterprise collaboration platforms.
- Understanding of AI governance, compliance, and operational risk management.
KEY COMPETENCIES
- AI & Digital Innovation Mindset
- Strategic Thinking & Problem Solving
- Project Management & Execution
- Attention to Detail & Governance Rigor
- Stakeholder Coordination & Influence
- Process Improvement & Systems Thinking
SUCCESS MEASURES
- Increased operational efficiency through AI and automation initiatives.
- Improved quality, consistency, and accessibility of organizational knowledge and content.
- Increased adoption and utilization of AI-enabled tools and workflows.
- Reduced cycle times for operational processes, bids, frameworks, and related activities.
- Enhanced reporting, visibility, and data-driven decision-making across business functions.
- Successful delivery of scalable AI solutions that create measurable business value.
UNLEASH YOUR POTENTIAL
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
ACCOMMODATIONS
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt-out options.
POSTING STATEMENT
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $123,100 - $186,300 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
See All 1,052+ Data Science Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Data Science Engineer JobsData Science Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Data Science Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Apple139
- NVIDIA42
- Tata Consultancy Services (TCS)39
- LTIMindtree35
- Goldman Sachs29
Top Industries Hiring
- Technology & Software381
- Electronics & Hardware161
- Consulting & Professional Services90
- Banking & Financial Services72
- Investment & Asset Management61
What Texas Employers Look For
The qualifications that appear most often in data science engineer jobs across Texas.
- Bachelor's or master's degree in computer science, statistics, or a closely related engineering field
- Proficiency in Python or Scala for building and deploying production machine learning pipelines
- Experience with distributed data platforms such as Apache Spark, Kafka, or Databricks
- Hands-on cloud platform experience with AWS, Azure, or Google Cloud in production environments
- Ability to design and maintain scalable data pipelines and feature engineering workflows
- Familiarity with MLOps practices including model versioning, monitoring, and CI/CD deployment
Data Science Engineer Jobs in Texas: Frequently Asked Questions
How do you become a data science engineer in Texas?
Texas does not require a state-issued license to work as a data science engineer, so the path runs through education and demonstrated technical skill. Most Texas employers expect at least a bachelor's degree in computer science, engineering, statistics, or mathematics, with a master's degree preferred for senior roles. Building a portfolio of end-to-end ML projects, contributing to open-source pipelines, and earning cloud certifications from AWS or Google Cloud significantly strengthens a candidacy in the Texas market.
How much do data science engineers make in Texas?
Data science engineers in Texas earn a median of about $122,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $64,540 for the lowest 10% to over $170,780 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data science engineers in Texas?
Employers hiring data science engineers in Texas right now include Apple, NVIDIA, and Tata Consultancy Services (TCS), based on current listings on Migrate Mate as of June 2026. Texas's concentration of energy majors, financial services firms, and large defense contractors means demand is spread across industries rather than concentrated in a single sector.
Which Texas cities have the most data science engineer jobs?
Austin, Dallas, and Irving account for the most data science engineer openings in Texas. Houston's concentration of energy and petrochemical companies drives substantial demand for engineers who work with sensor and operational data, while Dallas-Fort Worth's financial services and telecom headquarters and Austin's technology sector generate the largest volumes of software-forward data science engineering roles.
Are there remote data science engineer jobs in Texas?
Yes, and more than most fields. About 17% of data science engineer openings tied to Texas are remote or hybrid as of June 2026, reflecting the desk-based and code-centric nature of the work. Roles focused on model development, pipeline engineering, and analytics infrastructure tend to be the most amenable to fully remote arrangements, while positions involving on-site data systems or classified government contracts typically require in-person presence.
How can I get hired as a data science engineer in Texas with little or no experience?
The most realistic entry path is securing an associate data engineer or junior data analyst role and building toward data science engineering responsibilities from there. Large Texas employers such as ExxonMobil, USAA, and Texas Instruments run internship and new-graduate rotational programs that accept candidates with strong academic project portfolios even without industry experience. Completing a recognized cloud certification and publishing end-to-end pipeline projects on a public code repository gives early-career candidates a concrete technical signal that compensates for limited professional history.
Where can I find and apply to data science engineer jobs in Texas?
You can find and apply to data science engineer jobs in Texas on Migrate Mate, which lists current Texas openings. Find roles that fit your experience and location and apply directly through each listing.
See All 1,052+ Data Science Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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