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Fintech Data Science Jobs in Dallas, TX (NOW HIRING)

Sr. Director, Engineering

Westlake, TX ยท On-site

$180 - $220/hr

... fintech, health tech) is a strong advantage. * Strong command of engineering metrics and how to use data to drive decisions and accountability. * BS/MS in Computer Science, Engineering, or equivalent ...

Senior Data Engineer ID75059

Dallas, TX ยท On-site

$104K - $142K/yr

... science/engineering or other technical field, or equivalent experience; - 5+ years of experience ... NICE TO HAVES - Familiarity with the fintech industry, understanding of financial data, regulatory ...

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way ... Bachelor's degree or higher in Computer Science, Information Security, Engineering, or a related ...

Full Stack Technical Lead

Plano, TX ยท On-site

$170K - $210K/yr

Contribute to data-intensive, client-facing FinTech applications with a focus on scalability ... Bachelor's degree in Computer Science, Engineering, or a related technical field. * Preferred:

Full Stack Technical Lead

Plano, TX ยท On-site

$170K - $210K/yr

Contribute to data-intensive, client-facing FinTech applications with a focus on scalability ... Bachelor's degree in Computer Science, Engineering, or a related technical field. * Preferred:

Bachelor's degree in Computer Science, Engineering, Finance, or a related field. * 12+ years of ... Deep domain expertise in financial services, banking, FinTech, or regulated environments. * Strong ...

Senior Staff Agentic AI Engineer

Frisco, TX ยท On-site +1

$99K - $134K/yr

Bachelor's Degree in Computer Science or related field of study. * 12+ years of experience in ... Fintech/payments integrations; PCI and data protection familiarity and 4+ years of experience in ...

... Science, or another quantitative field, or equivalent relevant professional experience. * Advanced proficiency in Python and SQL for data analysis, feature development, and machine learning model ...

Enterprise Architect (IT)

Dallas, TX ยท On-site +1

$68.25 - $88/hr

Facilitate alignment across application, data, integration, infrastructure, cloud, and security ... Bachelor's degree in computer science, Information Technology, Engineering, Business, or a related ...

Enterprise Architect (IT)

Dallas, TX ยท On-site +1

$102K - $208K/yr

Facilitate alignment across application, data, integration, infrastructure, cloud, and security ... Bachelor's degree in computer science, Information Technology, Engineering, Business, or a related ...

Bachelor's degree in Computer Science, Engineering, MIS, or related field preferred. * 12+ years of ... Experience delivering data platforms and pipelines, with familiarity with data modeling, governance ...

Showing results 21-40

Fintech Data Science information

See Dallas, TX salary details

$37.1K

$121.4K

$194.4K

How much do fintech data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for fintech data science in Dallas, TX is $121,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,500.00 per year, depending on experience, location, and employer.

What is a fintech data scientist?

A Fintech Data Scientist is a professional who uses data analysis, machine learning, and statistical techniques to solve problems and create value within the financial technology (fintech) industry. They work with large amounts of financial data to develop predictive models, detect fraud, assess risk, and optimize financial products or services. Their expertise combines knowledge of finance, programming, and advanced analytics to help fintech companies make data-driven decisions and innovate in areas such as payments, lending, and investment. Fintech Data Scientists often collaborate with engineers, product managers, and business stakeholders to deliver actionable insights that drive business growth.

How do fintech data scientists typically collaborate with product and engineering teams to develop new financial products?

In fintech, data scientists often work closely with product managers and engineering teams throughout the lifecycle of a financial product. They analyze user data and market trends to provide actionable insights during the product design phase, and collaborate with engineers to implement machine learning models into the product infrastructure. Regular cross-functional meetings and agile workflows are common, allowing data scientists to iterate on models based on feedback and evolving requirements. This collaborative environment ensures that data-driven solutions are robust, scalable, and aligned with business goals.

What are the key skills and qualifications needed to thrive as a fintech data scientist?

To thrive as a Fintech Data Scientist, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools such as Python, R, SQL, cloud computing platforms, and experience with financial data modeling or relevant certifications are typically required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills that set top professionals apart. These skills and qualities are vital for extracting actionable insights from complex financial data, driving innovation, and ensuring regulatory compliance in the fast-evolving fintech industry.

What is the difference between Fintech Data Science vs Fintech Data Analyst?

AspectFintech Data ScienceFintech Data Analyst
Required SkillsAdvanced statistical, programming, and machine learning skillsData interpretation, reporting, and basic analytics
CertificationsData Science certifications, programming coursesData analysis or business intelligence certifications
Work EnvironmentDeveloping models, algorithms, and predictive analyticsData reporting, dashboards, and data cleaning
Industry UsageCreating predictive models for risk, fraud detection, and customer insightsGenerating reports, supporting decision-making with data

Fintech Data Science involves building complex models and applying machine learning techniques, requiring advanced skills and certifications. Fintech Data Analysts focus on interpreting data, creating reports, and supporting business decisions with less technical complexity. Both roles are essential in the fintech industry but differ in technical depth and responsibilities.

What cities near Dallas, TX are hiring for Fintech Data Science jobs? Cities near Dallas, TX with the most Fintech Data Science job openings:
Infographic showing various Fintech Data Science job openings in Dallas, TX as of August 2026, with employment types broken down into 94% Full Time, and 6% Temporary. Highlights an 77% In-person, 17% Hybrid, and 6% Remote job distribution, with an average salary of $121,417 per year, or $58.4 per hour.

Senior Software Engineer - onsite Dallas or NYC - FinTech startup experience required

Welltower

Dallas, TX โ€ข On-site

$150K - $225K/yr

Full-time

Re-posted 12 days ago


Job description

WELLTOWER โ€“ REIMAGINE REAL ESTATE WITH USย 

At Welltower, weโ€™re transforming how the world thinks about senior living and wellness-focused real estate. As a global leader in residential wellness and healthcare infrastructure, we create vibrant, purpose-driven communities where housing, healthcare, and hospitality converge. Our culture is fast-paced, collaborative, and endlessly ambitiousโ€”guided by our mantra: The only easy day was yesterday.ย 

Weโ€™re looking for bold, independent thinkers who thrive on challenge, embrace complexity, and are driven to deliver long-term value. Every team member is empowered to think like an owner, innovate fearlessly, and lead from where they stand. If you're passionate about outcomes and inspired by the opportunity to shape the future of healthcare infrastructure, we want you on our best-in-class team.ย ย 

ABOUT THE ROLEย 

The Senior Software Engineer at Welltower is responsible for designing, implementing, and maintaining robust data infrastructure that powers the organization's analytics and business intelligence initiatives. This role requires expertise in building scalable data pipelines, managing cloud-based data warehousing solutions, and implementing data quality frameworks. The Senior Data Engineer will collaborate with cross-functional teams, lead data engineering projects to completion, and establish best practices for data management across the organization.

KEY RESPONSIBILITIESย 

  • Design, develop, and maintain scalable ELT data pipelines to support time-series based analytics and reporting needs
  • Architect and implement data models and solutions in Snowflake to ensure optimal performance and accessibility
  • Build and manage AWS-based infrastructure
  • Implement and maintain data orchestration workflows using industry-standard tools to automate data processing
  • Establish data quality frameworks and automated testing procedures to ensure data integrity and reliability
  • Deploy CI/CD pipelines for data infrastructure to enable efficient, reliable, and repeatable deployments
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and implement solutions
  • Establish data engineering best practices and standards
  • Create comprehensive documentation for data processes, models, and infrastructure
  • Implement data governance practices and ensure compliance with regulatory requirements
  • Proactively identify and resolve data-related issues and bottlenecks

TECH STACK

  • Cloud Platforms: AWS
  • Data Warehousing: Snowflake
  • Orchestration Tools: Airflow
  • Data Transformation: dbt-core
  • Programming Languages: Python, SQL, Node
  • CI/CD Tools: Gitlab Pipelines
  • Version Control: Git
  • Infrastructure as Code: Terraform
  • Monitoring & Observability: Datadog

OTHER DUTIESย 

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of this employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.ย 

TRAVELย 

Minimal out-of-area and overnight travel may be expected.

MINIMUM REQUIREMENTSย 

  • Bachelor's degree in Computer Science, Data Science, Information Systems, or related technical field
  • 5+ years of experience in data engineering with a focus on cloud-based data infrastructure
  • Strong Proficiency our tech stack or similar technologies
  • Experience implementing and managing data pipelines and ETL/ELT processes
  • Knowledge of data modeling, database design, and optimization techniques
  • Experience with CI/CD practices for data infrastructure
  • Excellent problem-solving skills and attention to detail
  • Strong communication skills and ability to collaborate with cross-functional teams

Employment is contingent upon the successful completion of a background check, drug screening, and verification of employment, education, and other credentials relevant to the position.ย ย ย 

COMPENSATION

Salaries may vary by location. The base salary range for this role in New York isย $150,000 โ€“ $225,000.In addition to base pay, this role is eligible for aย highly competitive and lucrative total rewards package, which includes:

  • Annual bonus opportunity
  • Lucrative equityย awardsย through our long-term incentive program
  • Aย comprehensive benefits suite

ABOUT WELLTOWERย 

Welltowerยฎ Inc. (NYSE: WELL) an S&P 500 company, is the world's preeminent residential wellness and healthcare infrastructure company. Our portfolio of 1,500+ Seniors and Wellness Housing communities is positioned at the intersection of housing, healthcare, and hospitality, creating vibrant communities for mature renters and older adults inthe United States,United Kingdom, andCanada. We also seek to support physicians in our Outpatient Medical buildings with the critical infrastructure needed to deliver quality care.ย 

Our real estate portfolio is unmatched, located in highly attractive micro-markets with stunning built environments.Yet, we are an unusual real estate organization as we view ourselves as a product company in a real estate wrapper driven by relationships and unconventional culture.ย 

Through our disciplined approach to capital allocation powered by our data science platform and superior operating results driven by the Welltower Business System, we aspire to deliver long-term compounding of per share growth and returns for our existing investors โ€“ ourNorth Star.ย 

Welltower is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA. Minority/Female/Sexual Orientation/Gender Identity/Disability/Vetย