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Computer Science Banking Jobs in Texas (NOW HIRING)

Oxy

Senior AI - Computer Vision Engineer

Houston, TX

$117K - $154K/yr

Master's Degree in Computer Science or a related technical field required. * 6+ years of handson ... and bank account details at an early stage of our recruitment process. We recommend against ...

Bank OZK

Associate, Application Testing

Dallas, TX

Bachelor's degree in a job-related field, preferably in information technology or computer science ... Bank OZK is an equal opportunity employer and gives consideration for employment to qualified ...

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All JobsComputer Science Banking JobsComputer Science Banking Jobs in Texas

Computer Science Banking information

See Texas salary details

$18K

$59.7K

$124.4K

How much do computer science banking jobs pay per year?

As of Jun 9, 2026, the average yearly pay for computer science banking in Texas is $59,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,617.00 and $82,666.00 per year, depending on experience, location, and employer.

What types of projects do professionals in Computer Science Banking typically work on?

Professionals in Computer Science Banking often work on projects such as developing secure online banking platforms, implementing fraud detection systems, optimizing transaction processes, and managing large financial data sets. They may also support regulatory compliance projects and enhance cybersecurity measures to protect sensitive customer information. Collaboration with financial analysts, management, and IT teams is common, as is involvement in implementing emerging technologies like artificial intelligence or blockchain. This dynamic environment provides valuable experience across technical and financial domains and supports career advancement into senior technical or leadership roles.

What is a Computer Science Banking job?

A Computer Science Banking job involves applying computer science principles to develop, maintain, and secure banking systems. Professionals in this field work on digital banking platforms, cybersecurity, data analytics, and financial software development. They help banks enhance customer experience, prevent fraud, and optimize operations through technology. Roles may include software developers, cybersecurity analysts, data scientists, and IT specialists in financial institutions. These jobs require expertise in programming, databases, encryption, and financial technologies.

What are the key skills and qualifications needed to thrive in the Computer Science Banking position, and why are they important?

To excel in a Computer Science Banking role, you need a strong background in computer science principles, programming, and data analysis, ideally supported by a relevant degree or certifications. Familiarity with banking software platforms, cybersecurity protocols, databases, and tools like Python, SQL, or Java are often required. Strong problem-solving skills, attention to detail, and clear communication help you work effectively with both technical teams and finance professionals. These competencies ensure secure, efficient, and innovative technology solutions within the fast-paced and highly regulated banking sector.

What are the most commonly searched types of Computer Science Banking jobs in Texas? The most popular types of Computer Science Banking jobs in Texas are:
What are popular job titles related to Computer Science Banking jobs in Texas? For Computer Science Banking jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Computer Science Banking jobs in Texas look for? The top searched job categories for Computer Science Banking jobs in Texas are:
What cities in Texas are hiring for Computer Science Banking jobs? Cities in Texas with the most Computer Science Banking job openings:
Computer Science Banking jobs near you
Infographic showing various Computer Science Banking job openings in Texas as of June 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $59,700 per year, or $28.7 per hour.

Software Engineering / Data Science Intern

BSI Financial Services

Irving, TX • On-site

Temporary

Posted 6 days ago

Job description

Description
Mortgage servicing runs on legacy systems. BSI is changing that - and we need engineers who can move fast. As a Software Engineering Intern, you will take a working proof-of-concept and push it to MVP, then work toward an enterprise-grade product. You will use vibe coding tools aggressively (Claude Code, Cursor, GitHub Copilot), build with modern data stacks, and ship real features to production pipelines. This is a hands-on, build-first role.
This is a summer internship. Strong performers may be considered for full-time roles.
What You'll Do
  • Take product requirements or a PM-built POC and engineer a scalable, production-quality MVP

  • Build and iterate on user-facing interfaces: web apps, dashboards, internal tools - using AI-assisted coding tools throughout

  • Develop and optimize data pipelines, ETL processes, and integrations on Databricks using dbt and PySpark

  • Build and refine AI agents to automate complex operational workflows

  • Work closely with data engineers and analysts to ensure data quality, pipeline reliability, and model integration

  • Collect rapid user feedback, iterate on UX, and push features through testing to production

  • Document technical architecture, APIs, and data flows for handoff to full-time engineering

  • Participate in code reviews, sprint planning, and agile ceremonies

Tech Stack
  • Data & Pipelines: Databricks, PySpark, dbt, Azure Data Factory, SQL

  • AI/ML: Python, LLM APIs (Anthropic, OpenAI), prompt engineering, agent frameworks

  • Frontend/Internal Tools: React, Streamlit, Retool, v0, or equivalent

  • Dev Tools: GitHub, Azure DevOps, Jira, Claude Code, Cursor

Education and Experience
Must Have
  • Currently pursuing a Bachelors (or Masters) degree in Computer Science, Software Engineering, AI/ML, Data Science, or equivalent technical field

  • Demonstrated technical portfolio: GitHub repos with meaningful commits, a deployed project, hackathon work, or open-source contributions

  • Strong Python skills; experience with SQL and data manipulation

  • Experience building and deploying something end-to-end - not just tutorials

  • Fluency with AI coding tools (Claude Code, Copilot, Cursor) as a core part of your workflow

  • Ability to debug independently and ship fast under ambiguity

Preferred
  • Experience with Databricks, PySpark, or dbt for data engineering

  • Hands-on experience building LLM-powered applications or AI agents

  • Frontend development experience (React, TypeScript, or rapid prototyping tools)

  • Exposure to cloud platforms (Azure, AWS, or GCP)

  • Prior internship or project experience in fintech, banking, or enterprise software

Work Environment
This role routinely uses standard office equipment. Ability to sit for long periods of time is essential.
Position Type and Expected Hours of Work
This is a full-time internship position. Days and hours of work are Monday through Friday.

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