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Entry Level Fintech Software Engineer Jobs in Austin, TX

Site Reliability Engineer

Austin, TX · On-site

$140 - $180/hr

Helped engineers ship software faster with greater confidence and reliability. What we're looking ... Experience working in payments, fintech, or other highly available transaction-based systems.

New

... software (AutoCAD, Civil 3D, etc.) and equipment; * Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological ...

... software (AutoCAD, Civil 3D, etc.) and equipment; * Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological ...

Guidewire is a software suite that provides insurance companies with tools for policy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

QA Engineer

Austin, TX · On-site

$70K - $95K/yr

Opportunity The QA Engineer owns product quality, reliability, and consistency across the Boom ... software testing experience, ideally on web and mobile in SaaS or fintech * Strong analytical ...

Showing results 41-60

Entry Level Fintech Software Engineer information

See Austin, TX salary details

$23.8K

$103.9K

$187.3K

How much do entry level fintech software engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for entry level fintech software engineer in Austin, TX is $103,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $118,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level fintech software engineer, and why are they important?

To thrive as an Entry Level Fintech Software Engineer, you need a solid grounding in programming languages (such as Python, Java, or C++), understanding of algorithms, and a relevant degree in computer science or a related field. Familiarity with financial software platforms, APIs, databases, and code versioning tools like Git is typically required. Strong problem-solving skills, attention to detail, and effective communication abilities help you collaborate with cross-functional teams and address complex challenges. These skills ensure you can develop reliable, secure, and compliant software solutions vital to the fast-paced fintech industry.

What is the difference between Entry Level Fintech Software Engineer vs Entry Level Data Analyst?

AspectEntry Level Fintech Software EngineerEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science, Software Engineering, or related fieldBachelor's in Statistics, Data Science, or related field
Work EnvironmentDeveloping financial software, coding, testing, and deploying applicationsAnalyzing financial data, creating reports, and supporting decision-making
Employer & Industry UsageFintech companies, banks, financial institutionsFinancial services, consulting firms, fintech firms

While both roles support financial technology firms, the Entry Level Fintech Software Engineer focuses on building and maintaining software applications, whereas the Entry Level Data Analyst interprets data to inform business decisions. Both roles require a strong technical background, but their daily tasks and skill sets differ significantly.

What does an entry level fintech software engineer do?

An Entry Level Fintech Software Engineer is responsible for developing, testing, and maintaining software solutions specifically for financial technology applications. They typically work on building secure and scalable platforms, integrating APIs, and ensuring compliance with financial regulations. These engineers collaborate with senior developers and other teams to deliver features that improve financial products and customer experiences. They also troubleshoot issues, write documentation, and may work with technologies such as Python, Java, or cloud platforms.

What are some common challenges faced by entry level fintech software engineers, and how can they overcome them?

Entry level fintech software engineers often encounter challenges such as understanding complex financial regulations, adapting to rapidly changing technologies, and working with large-scale, secure systems. To overcome these, new engineers should proactively seek mentorship from experienced colleagues, participate in continuous learning (such as online courses or company training), and collaborate closely with cross-functional teams like compliance and product. Embracing agile development practices and staying curious about financial industry trends can also help accelerate their growth and confidence in the role.
What are the most commonly searched types of Fintech Software Engineer jobs in Austin, TX? The most popular types of Fintech Software Engineer jobs in Austin, TX are:
What are popular job titles related to Entry Level Fintech Software Engineer jobs in Austin, TX? For Entry Level Fintech Software Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Fintech Software Engineer jobs in Austin, TX look for? The top searched job categories for Entry Level Fintech Software Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Entry Level Fintech Software Engineer jobs? Cities near Austin, TX with the most Entry Level Fintech Software Engineer job openings:
Infographic showing various Entry Level Fintech Software Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $103,941 per year, or $50 per hour.

Applied AI Engineer(EDA), Platform Architecture

Apple

Austin, TX • On-site

Full-time

Re-posted 29 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

Apple's Platform Architecture group develops the next generation of Apple hardware, and the tools to make it possible. Our team builds high-performance verification systems that accelerate the development of Apple silicon. We aim to push the boundaries of pre-silicon validation with simulation solutions that apply and extend principles from hardware emulation.
We are seeking an engineer to develop and deploy agentic AI workflows that automate and optimize pre-silicon validation processes. In this role, you will bridge the gap between applied artificial intelligence and Electronic Design Automation (EDA), building autonomous agents that triage errors, tune simulation parameters, and drastically reduce maintenance burdens for silicon verification teams.
Description
In this role, you will focus on AI based automations, infrastructure development, and continuous experimentation at the intersection of hardware design and verification.
Minimum Qualifications
Bachelor's degree in Computer Science, Electrical Engineering, Machine Learning, or a related field (or equivalent practical experience).
Experience in one of the following two areas: Applied AI (experience building, deploying, and maintaining LLM-based applications, agentic workflows, or advanced prompt engineering, combined with an entry-level familiarity with EDA tools or hardware verification concepts), or EDA/Silicon (experience with RTL design, simulation, or hardware emulation platforms, combined with a demonstrated track record of working in research-oriented roles applying software automation or ML to hardware problems).
Experience with scripting, infrastructure development, and software engineering (e.g., Python, C/C++).
Preferred Qualifications
Master's in Computer Science, Electrical Engineering, or a related AI/Hardware field.
Hands-on experience with Design Verification tasks requiring application of EDA tools, including Logic Equivalence Checking (LEC), linting / static analysis tools, waveform debugging, and simulation / emulation flows.
Familiarity with Verilog, SystemVerilog, or architecting HDL testbenches for functional verification.
Experience developing software tools for co-simulating designs across multiple high-performance platforms.
Comfortable exploring unfamiliar codebases, researching cutting-edge techniques, and rapidly prototyping automated solutions.
Experience applying research methods: literature review, data-driven experimentation, analyzing results.
Strong communication skills, with the ability to collaborate effectively with cross-functional silicon engineering, design verification, and EDA development teams.

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