Data Science Engineer Jobs in Dallas, TX
Data Science Engineer jobs in Dallas are in strong demand, concentrated in Uptown, the Platinum Corridor along the North Dallas Tollway, and the Legacy West area in Plano, across finance, healthcare technology, and enterprise software. Employers hiring right now include American Heart Association, City of Dallas, and Wells Fargo. Scan the live roles below and apply to whichever ones fit.
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Our Company Promise
We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer.
Job Description:
Summer 2027 Customer Experience and Analytics Data Science Internship
Notice : We ask that you apply with your personal email address rather than your school email (.edu) so we can stay connected about future roles at Southwest. Be sure to attach a resume to your application.
Customer Experience and Analytics Team (CX&A Data Science Intern): The CX&A Data Science Intern is responsible for the application of statistics/math, business acumen, and computer science concepts to collect, organize, analyze, summarize, and interpret data; or participate in the development of data science, machine learning, artificial intelligence, or optimization products which generate competitive advantage for the enterprise by driving actionable insights and decisions in support of descriptive, diagnostic, predictive, or prescriptive business needs.
Additional Details
Join Southwest as a Summer 2027 Intern, with a 12-week internship lasting from May 18 – August 8, 2027.
Pay of $22-26 per hour, corresponding with progress toward degree.
Stipends may be offered based on eligibility and program criteria.
The culture of Southwest Airlines means we value the camaraderie, collaboration, and innovation that occurs when we come together and interact face-to-face at our vibrant Corporate Campus. Due to the nature of this role, you would be required to work from our Dallas, TX headquarters facility during business hours (2702 Love Field Drive).
Dedicate 40 hours each week (maximum of 8 hours per day) to your internship responsibilities and tasks.
Receive free, unlimited space available travel privileges for yourself (taxes and fees may apply on international travel).
Interns will be provided any required equipment, such as a laptop, for the internship.
U.S. citizenship or current authorization to work in the U.S. required and no current or future work authorization sponsorship available.
We’re committed to fair hiring practices and to making employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, disability, genetic information, or other legally protected characteristics.
Duties and Responsibilities: The duties and responsibilities of the Customer Experience and Analytics (CX&A Data Science Intern) may include, but are not limited to:
Work on moderately complex data science, machine learning, AI, or optimization projects to define, analyze, and deliver solutions aligned with business objectives.
Apply math, statistics, and modeling methods for descriptive, diagnostic, predictive, and prescriptive analytics.
Extract, transform, and analyze large datasets to identify trends, risks, and opportunities, delivering actionable insights.
Support ongoing effectiveness and maintenance of models and analytical solutions.
Build and maintain relationships within the Customer Organization and contribute to the data science community.
May perform other job duties as directed by intern’s leaders.
Knowledge, Skills, and Abilities:
Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint).
Strong Excel skills, including PivotTables, VLOOKUP, graphing, and data manipulation.
Ability to build and deliver PowerPoint presentations.
Strong written and verbal communication skills for technical and non-technical audiences.
Knowledge of foundational statistics and math concepts.
Understanding of descriptive, diagnostic, predictive, and prescriptive analytics.
Ability to compile, clean, transform, analyze, and visualize large-scale data.
Strong analytical and problem-solving abilities.
Ability to manage and organize large datasets accurately.
Detail-oriented with a focus on data integrity and process improvement.
Team-oriented with the ability to work independently.
Quick learner, self-motivated, and adaptable.
Ability to work independently and the willingness to function as a part of a Team.
Ability to coordinate multiple tasks and complete assignments with tight deadlines.
Must maintain a professional appearance and attitude
May perform other job duties as directed by the team.
Education:
High School Diploma, GED or equivalent education required
Progress toward a degree, major, or minor in Aviation, Aviation Management, Applied Mathematics, Analytics, Business Administration, Business Analytics, Business Administration, Computer Science, Data Analytics, Economics, Engineering, Finance, Hospitality, Information Science, Information Systems, Information Technology, Machine Learning, Management, Management Information Systems, Marketing, Math, Operations Research, Professional Sales, Science, Software Development, Statistics, Supply Chain or similar degree
Progress towards a 4-year undergraduate degree preferred
To be eligible, you must be currently enrolled as a full-time student (as defined by your university) at the time of application and during the internship
1-2 semesters remaining at the time the internship ends is preferred
Minimum 2.5 cumulative GPA at the time of application
Basic Qualifications:
Must be at least 18 years of age
You must have a valid U.S. Social Security Number to complete the full hiring process
Experience
Preferred: Experience with forecasting software and models.
Preferred: Programming knowledge in SQL, VBA, or other database management tools.
Preferred: Familiarity with Python, Java, or similar scripting languages.
Preferred: Experience with data visualization tools (Tableau, Power BI).
Preferred: Exposure to data cleansing and transformation tools (e.g., Alteryx).
Preferred: Knowledge of data science project lifecycle and stakeholder engagement.
Preferred: Ability to evaluate data science, machine learning, AI, or optimization techniques for business problems.
Preferred: Previous internship or work experience in analytics or aviation environment.
Preferred: Leadership experience or involvement in campus organizations.
Southwest Airlines is an Equal Opportunity Employer.
Please print/save this job description because it won't be available after you apply.
Job Posting End Date
10/06/2026
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Find Data Science Engineer JobsData Science Engineer Job Market in Dallas
Who's Hiring
- American Heart Association15

- City of Dallas10

- Wells Fargo5

- Select Minds5

- Southwest Airlines5

Top Industries Hiring
- Distribution & Wholesale
Data Science Engineer Jobs in Dallas: Frequently Asked Questions
How do I get a data science engineer job in Dallas?
Focus your search on Dallas's three strongest hiring pockets: the financial services firms clustered downtown and in Uptown, the health systems and insurance companies along the Medical District and North Dallas corridor, and the enterprise software and telecom employers in Legacy West and the Platinum Corridor. Candidates who combine strong Python or Spark skills with domain knowledge in finance or healthcare move fastest in this market. Networking through Dallas-area data meetups and targeting mid-size tech firms alongside large corporations also opens doors.
Which companies hire data science engineers in Dallas?
Dallas data science engineer roles are posted by American Heart Association, City of Dallas, and Wells Fargo and others right now, based on current listings on Migrate Mate as of October 2026. Dallas attracts a wide mix of Fortune 500 corporations, regional banks and insurers, large health systems, and fast-growing technology companies, all of which maintain in-house data engineering teams.
Are there remote data science engineer jobs in Dallas?
Yes, though availability depends on the role's requirements, since data science engineer work is generally well-suited to remote or hybrid arrangements given its analytical and coding-heavy nature. About 100% of data science engineer openings tied to Dallas are remote or hybrid as of October 2026, with pipeline development and model deployment work being the most commonly remote components. On-site presence is more often required for roles embedded within healthcare or financial operations teams.
How can I get a data science engineer job in Dallas with little or no experience?
The most realistic entry path in Dallas is targeting junior data engineer or analytics engineer roles at mid-size technology companies and regional financial institutions, which tend to hire more flexibly than large enterprises. Dallas-area employers in insurance and healthcare also recruit entry-level candidates for data pipeline and reporting roles. Building a portfolio with real datasets, contributing to open-source projects, and attending the Dallas Data Science meetup community can make a candidate stand out against others with similar credentials.
Which industries hire the most data science engineers in Dallas?
The sectors hiring the most data science engineers in Dallas are Distribution & Wholesale, based on current listings on Migrate Mate as of October 2026. Dallas's position as a national hub for financial services headquarters, a growing health technology corridor, and a major enterprise software market makes these sectors the primary and consistent drivers of local data engineering demand.
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