1

Computer Science Finance Jobs in Austin, TX (NOW HIRING)

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline required with ... Finance and accounting process experience a plus

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline required with ... Finance and accounting process experience a plus

Bachelor's degree in Finance, Business, Engineering, Computer Science, or similar required* 6 to 8 years of experience in finance roles with at least 3 years in transformation or systems-related ...

Bachelor's degree in Finance, Business, Engineering, Computer Science, or similar required * 6 to 8 years of experience in finance roles with at least 3 years in transformation or systems-related ...

Bachelor's degree in Finance, Business, Engineering, Computer Science, or similar required * 6 to 8 years of experience in finance roles with at least 3 years in transformation or systems-related ...

Bachelor's degree in Computer Science, Electrical Engineering or related fields and 3-5 years of ... Our offerings are built around four key pillars: financial well-being, family support, mental and ...

Bachelor's degree in Computer Science, Electrical Engineering or related fields and 3-5 years of ... Our offerings are built around four key pillars: financial well-being, family support, mental and ...

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Financial/ Telecommunication), powerbi/tableau, data warehouse Benefits * Competitive Salary * Paid ...

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Financial/ Telecommunication), powerbi/tableau, data warehouse Benefits * Competitive Salary * Paid ...

Bachelor's degree in mathematics, statistics, actuarial science, finance, economics, business, computer science or related degree * Three or more years of health actuarial experience, including hands ...

Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Mathematics, Data Science, Finance, Economics, or equivalent) * 8+ years of relevant experience in analytics ...

Showing results 21-40

Computer Science Finance information

See Austin, TX salary details

$24.8K

$91.8K

$134.3K

How much do computer science finance jobs pay per year?

As of Aug 17, 2026, the average yearly pay for computer science finance in Austin, TX is $91,817.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $108,000.00 per year, depending on experience, location, and employer.

What is computer science finance?

Computer science finance is an interdisciplinary field that combines principles of computer science with finance. Professionals in this area use technology and programming to analyze financial data, develop trading algorithms, manage risk, and optimize investment strategies. Careers in computer science finance often involve roles such as quantitative analyst, financial software developer, or data scientist for investment firms, banks, or fintech companies. This field requires skills in programming (often Python, R, or C++), data analysis, and a solid understanding of financial markets and instruments.

What are finance jobs for computer science majors?

Finance jobs for computer science majors focus on the analysis of financial data, the development of finance technology (fintech) software and applications to analyze financial markets and automate equities trading, and the creation of algorithms for analysis, fraud detection, and risk management. As a data scientist or quantitative analyst, you perform your duties for an investment firm or bank. If you are a risk management analyst, you work for financial institutions or life insurance companies. A computer science major can also develop software and configure databases for finance businesses or have cybersecurity responsibilities that include protecting data and systems from hackers.

How does a professional in Computer Science Finance typically collaborate with both technical and financial teams?

Professionals in Computer Science Finance often serve as a bridge between technology and finance departments, translating financial requirements into technical solutions. They might collaborate closely with software engineers to develop financial models or automation tools, and work with analysts or traders to understand market needs and ensure technical solutions align with business goals. Effective communication is key, as they regularly participate in cross-functional meetings, manage project timelines, and provide updates to both technical and non-technical stakeholders. This role requires adaptability and the ability to explain complex concepts in accessible terms.

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

To thrive in Computer Science Finance, you need strong analytical and programming skills, a solid understanding of financial concepts, and typically a degree in computer science, finance, or a related field. Familiarity with financial modeling tools, database management systems, and programming languages like Python, R, or SQL is highly valued, along with certifications such as CFA or FRM. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for collaborating with diverse teams and interpreting complex data. These skills are crucial for developing innovative financial solutions, ensuring data integrity, and driving informed decision-making in the fast-paced finance industry.

What is the difference between Computer Science Finance vs Data Analyst?

AspectComputer Science FinanceData Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related fields; certifications like CFA or FRM beneficialBachelor's in Statistics, Economics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentFinancial institutions, tech firms, investment banks; often collaborative and fast-pacedCorporate offices, consulting firms, financial services; data-driven and analytical
Employer & Industry UsageFinance, banking, fintech, tech companiesFinance, marketing, healthcare, consulting

Computer Science Finance professionals combine technical skills with financial knowledge to develop algorithms, models, and software for financial analysis and trading. Data Analysts focus on interpreting data to inform business decisions across various industries. While both roles require analytical skills, Computer Science Finance emphasizes programming and financial expertise, whereas Data Analysts concentrate on data interpretation and reporting.

Can computer science work in finance?

Computer science professionals can work in finance as quantitative analysts, software developers, or data scientists, applying skills in programming, algorithms, and data analysis to financial modeling, trading systems, and risk management. Knowledge of financial concepts and tools like Python, R, or SQL is often required for these roles.

What are popular job titles related to Computer Science Finance jobs in Austin, TX?

For Computer Science Finance jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Computer Science Finance jobs in Austin, TX look for?

The top searched job categories for Computer Science Finance jobs in Austin, TX are:

What cities near Austin, TX are hiring for Computer Science Finance jobs?

Cities near Austin, TX with the most Computer Science Finance job openings:

Infographic showing various Computer Science Finance job openings in Austin, TX as of August 2026, with employment types broken down into 72% Full Time, 7% Part Time, and 21% Contract. Highlights an 93% In-person, and 7% Hybrid job distribution, with an average salary of $91,817 per year, or $44.1 per hour.

Finance Data Engineer

Apple, Inc.

Austin, TX • On-site

$113K - $136K/yr

Other

Re-posted 6 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent, and architecturally sound solutions that are aligned with business needs.
This role requires working cross-functionally with business users, IS&T, data scientists and other engineers to develop and deploy data services and pipelines. An ability to acquire knowledge of Finance business processes is important.
You will be working in an enterprise data warehouse and lakehouse environments to help identify and combine data in an efficient, scalable manner to help answer business questions.
Description
Work closely with data scientists, machine learning engineers, software engineers, and business partners to identify, capture, collect, load and format data from the external sources, internal systems and the data warehouse.
Develop, test, deploy, monitor, document and troubleshoot data pipelines and feature-ready datasets
Collaborate with other engineers to define and adopt best practices for translate finance use cases into data requirements, schemas, and retrieval patterns for RAG, agents, and other LLM workflows
Identify and review capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
Minimum Qualifications
5+ years of relevant Data Engineering experience
Undergraduate degree in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline required with five or more years of experience
Preferred Qualifications
Effective Python, shell and SQL programmer
Hands on experience with database design and architecture in cloud data warehouses (Snowflake) and lakehouse environments (s3)
Ability to implement end to end encryption and decryption policies as part of sensitive data pipelines and semantic views or other data sources
Experience with the data development lifecycle and its associated CI/CD and version control components and tooling (Jenkins, Git, Other)
Exposure to cloud storage and orchestration tooling such as AWS and Kubernetes
Experience with streaming interfaces and pipelines a plus
Ability to implement data and automation services via RESTful interfaces
Appreciation for data quality and validation in every pipeline
Finance and accounting process experience a plus

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976