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Financial Data Engineer Jobs in Austin, TX (NOW HIRING)

Senior Data Engineer

Austin, TX · On-site

$120 - $150/hr

Participate in the continual improvement of engineering tools, cloud-based technologies/services ... Our comprehensive benefits include global access to mental health and financial wellness support ...

Engineer II, Data (Cloud & AI)

Austin, TX · On-site

$55.25 - $73.75/hr

LPL Financial is looking for an Engineer II, Data who can build and operate cloud-native data solutions at enterprise scale. This role combines AWS cloud engineering, data pipeline development ...

Data Services Engineer SR

Austin, TX

$113K - $136K/yr

... Financial Services to help ensure technical solutions align with real business and regulatory needs. Your day-to-day at Sagent: Data Engineering and Development: * Design, build, and maintain ...

Data Engineering Manager

Austin, TX · On-site

$170K - $225K/yr

As a Data Engineering Manager on our Data Platform team, you will lead a small, high-leverage team ... Teams that make a difference; individuals that matter At Self Financial, we put hard problems in ...

... their financial goals. Job Overview We are seeking a visionary and experienced Principal Data ... The successful candidate will partner with Product, Engineering, Security, Operations, and ...

Data Services Engineer SR

Austin, TX · On-site +1

$113K - $136K/yr

Data Engineering and Development: * Design, build, and maintain scalable data pipelines and ... Experience in Mortgage Servicing or Financial Services, with an understanding of how technical ...

Finance & Analytics

Austin, TX · On-site

$84K - $105K/yr

... data engineering, analytics engineering, or BI development, including at least one financial reporting platform (warehouse plus cube or semantic layer) built and run in production * Expert SQL and ...

Showing results 41-60

Financial Data Engineer information

See Austin, TX salary details

$44.1K

$128.5K

$175.9K

How much do financial data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for financial data engineer in Austin, TX is $128,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What is a financial data engineer?

A Financial Data Engineer is responsible for designing, building, and optimizing data pipelines that process and analyze financial data. They work with large datasets, databases, and cloud platforms to ensure data is accurate, efficient, and accessible for financial analysts and decision-makers. This role requires expertise in programming languages like Python or SQL, data modeling, and financial domain knowledge. Financial Data Engineers help improve data quality and automate workflows, enabling organizations to make data-driven financial decisions.

What does a financial data engineer do?

As a Financial Data Engineer, you’ll typically design, develop, and maintain pipelines that collect and process large sets of raw financial data for analysis and reporting. You’ll work closely with data scientists, financial analysts, and software engineers to ensure high data quality and seamless integration with downstream applications. Common projects include automating data ingestion from different sources, transforming and warehousing financial datasets, and helping implement analytics or business intelligence platforms. The role often involves troubleshooting data issues, optimizing performance, and supporting strategic business initiatives through actionable data insights. This environment provides excellent opportunities for both technical growth and exposure to the finance industry.

What are the key skills and qualifications needed to thrive as a financial data engineer?

To thrive as a Financial Data Engineer, you need strong programming skills (such as Python or SQL), expertise in data modeling, and a solid understanding of financial systems or markets, typically supported by a degree in computer science, finance, or a related field. Familiarity with tools like AWS, Hadoop, Spark, or Tableau, and relevant certifications such as CFA or data engineering qualifications, are highly valued. Strong problem-solving abilities, analytical thinking, and effective communication skills set top candidates apart in this field. These skills ensure accurate financial data solutions, seamless collaboration with stakeholders, and the ability to adapt to rapidly evolving financial technologies.

What are the most commonly searched types of Financial Data Engineer jobs in Austin, TX?

The most popular types of Financial Data Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Financial Data Engineer jobs?

Cities near Austin, TX with the most Financial Data Engineer job openings:

Infographic showing various Financial Data Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,545 per year, or $61.8 per hour.

Analyst/Associate, Investment Engineering (Data Solutions)

Dimensional Fund Advisors

Austin, TX • On-site

$90 - $130/hr

Other

Posted 15 days ago


Job description

Job Description: Dimensional's Investment Engineering department is responsible for ownership of investment data, which means managing data from acquisition through distribution, driving analysis to create information from data, and creating the information and analysis consumed by internal and external reports. Investment Engineering is a hub group touching numerous areas of the implementation of the investment process and interacting with most other departments within Dimensional. The Data Solutions team's primary responsibilities involve overseeing the incoming base-level data and the centralized management and distribution of investment data to Dimensional’s internal Portfolio Management, Trading, and Reporting systems. The Data Solutions team seeks an Analyst/Associate capable of supporting key initiatives underpinning our daily implementation process. This role will work within the team to analyze the quality of investment data within Dimensional, including security reference, prices, ratings, and all other data crucial to the investment process. They will be a subject matter expert in the team’s existing data products and work to design new products. Success in this role will mean delivering clean, accurate data to internal as well as external clients in a timely manner, being creative at finding different ways to analyze and present relevant investment data and enhancing operational efficiencies at Dimensional to deliver value-added investment solutions to our clients.

Responsibilities
  • Support Dimensional's investment processes by ensuring tools and systems are built with appropriate business logic.
  • Compile, cleanse, and manage large data sets from multiple sources to support investment systems.
  • Research and evaluate vendor data to assess quality and recommend optimal consumption patterns.
  • Conduct data analysis using SQL Server, Snowflake, and other structured/ unstructured database technologies.
  • Partner with Portfolio Management, Trading, Compliance to address portfolio construction questions and perform related analysis.
  • Collaborate with internal clients to gather and define requirements for core business systems, and then design, build, and test data pipelines in partnership with data engineer resources.
  • Assist in shaping data architecture for internal distribution of investment data, including defining and building data structures for end-user consumption.
  • Drive efficiency through automation, process design, and implementation.
  • Mentor and provide guidance to junior analysts, fostering skill development and knowledge-sharing across the team.
Qualifications
  • Bachelor's degree in Finance, Accounting, Computer Science, Engineering, Business, or a related field.
  • Master’s degree and/or professional certifications (e.g. CFA) preferred.
  • 3-5+ years of experience working with large investment datasets, performing quantitative analysis, and leveraging SQL, Python, or similar data management tools.
  • Strongly preferred: experience working with financial data sets and vendor platforms (Bloomberg, Factset, Refinitiv, Morningstar, etc.).
  • Demonstrated interest and passion for financial markets.
  • Experience working in Agile/Scrum teams, writing business requirements, and communicating effectively with software engineers.
  • Self-starter with proven ability to manage multiple projects and meet deadlines.
  • Strong analytical and quantitative problem-solving skills.
  • Attention to detail with the ability to connect findings to broader objectives and goals.
  • Excellent communication skills with the ability to convey complex ideas and bridge investment professionals and engineering teams.

This role is not eligible for immigration sponsorship. Dimensional offers a variety of programs to help take care of you, your family, and your career, including comprehensive benefits, educational initiatives, and special celebrations of our history, culture, and growth.

It is the policy of the Company to provide equal opportunity for all employees and applicants. The Company recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to actual or perceived race, color, religion, religious practice, creed, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), caregiver status, gender, gender identity, gender expression, transgender identity, national origin, age, mental or physical disability, ancestry, medical condition, marital status, familial status, domestic partnership status, military or veteran status or service, unemployment status, citizenship status or alienage, sexual orientation, status as a victim of domestic violence, status as a victim of stalking, status as a victim of sex offenses, genetic information, political activities or recreational activities, arrest or conviction record, salary history, natural hairstyle or any other status protected by applicable law except as otherwise required or permitted by law or regulation applicable to the Company or its affiliates.

At Dimensional, we want to change the way the world thinks about investing. As a leading global investment firm, we offer systematic, value-added investment solutions based on robust science and thoughtful implementation. Our global team includes more than 1,600 passionate people with diverse experiences, education, strengths, and talents. With a learning mindset rooted in academia and powered by the great ideas in finance, we pursue what we believe are the strongest investment solutions, while providing a world-class client experience. Every employee plays a role in delivering these experiences, and we know we can achieve the most when we work as a team to endeavor to help improve investors’ lives.

For more information about Dimensional and our current opportunities, please visit our Careers site. Dimensional Fund Advisors LP is an investment advisor registered with the Securities and Exchange Commission.

Dimensional sees great value from collaborating in our offices and appreciates the benefits of flexibility. Most roles fit our office-first hybrid approach: We are together on our campuses Tuesdays, Wednesdays, and Thursdays and have the choice to work in the office or remotely, depending on what is best for that work day, on Mondays and Fridays. This approach maximizes in-person collaboration and interaction while simultaneously providing flexibility and applies to most roles globally with a few exceptions that require more or less time in the office.

Please discuss with your Recruiter to confirm the details for this specific role.

Resumes and portfolios (when applicable) are required as part of your application.

When applying from a mobile device or tablet, you may not be able to attach a resume. If you cannot include an attachment at the time of your application, you will receive a follow up email asking you to attach your resume from a computer.

Here at Dimensional, we strive to be an inclusive workplace for all. Even if you do not match every qualification listed, if you are interested in who we are, what we do, and why we do it, we suggest and encourage you to apply. The use of Artificial Intelligence during interviews and skill testing is prohibited, unless Dimensional Fund Advisors has authorized such use. If you require reasonable accommodation in completing this application, interviewing, or otherwise participating in the employee selection process, such accommodation is available upon request.

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