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Financial Engineer Jobs in Texas (NOW HIRING)

Allworth Financial

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Allworth Financial (www.allworthfinancial.com) is an independent investment financial advisory firm ... We are looking for a Senior Data Engineer, or similarly experienced data modernization professional ...

Ameriprise Financial

Financial Advisor

Plano, TX

As a Financial Advisor with Ameriprise, you'll help shape your clients' financial futures for each ... and developers Risk managers Sales and marketing professionals Teachers and educators About Our ...

Salesforce, Inc.

Senior Tax Systems Engineer (Vertex)

Dallas, TX · On-site

$103K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

DET is seeking a Senior Tax Systems Engineer (Vertex) to join our IT Finance Engineering team. This role focuses on designing, implementing, and optimizing enterprise tax solutions using Vertex ...

Self Financial, Inc.

Senior DevOps Engineer

Austin, TX · On-site

$128K - $165K/yr

Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic inclusion and financial resilience. As a Senior DevOps Engineer, you will deploy, monitor, and ...

Frost Bank

Model Validation Analyst II

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's degree in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, Physics, Management Science, Operations Research, or Economics * 2+ years of experience in the ...

Frost Bank

Model Validation Analyst II

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's degree in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, Physics, Management Science, Operations Research, or Economics * 2+ years of experience in the ...

Mattr

Financial Controller

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Partner with Operations, Commercial, Supply Chain, Engineering, Procurement, and Human Resources ... Financial Performance Management * Lead forecasting, annual budgeting, long-range planning, and ...

LPL Financial

Senior Cloud Engineer

Austin, TX · On-site

$103K - $142K/yr

  • Medical

  • Retirement

  • PTO

If you want to learn AWS at a Tier 1 financial firm by running it for real with a globally distributed team across the US and India, this is your seat. Job Overview: As the Engineer 2, Cloud Support ...

LPL Financial

Senior Cloud Engineer

Austin, TX

$103K - $142K/yr

  • Medical

  • Retirement

  • PTO

If you want to learn AWS at a Tier 1 financial firm by running it for real with a globally distributed team across the US and India, this is your seat. Job Overview: As the Engineer 2, Cloud Support ...

Mattr

Financial Controller

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Partner with Operations, Commercial, Supply Chain, Engineering, Procurement, and Human Resources ... Financial Performance Management * Lead forecasting, annual budgeting, long-range planning, and ...

Mattr

Financial Controller

Katy, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Partner with Operations, Commercial, Supply Chain, Engineering, Procurement, and Human Resources ... Financial Performance Management * Lead forecasting, annual budgeting, long-range planning, and ...

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Showing results 41-60

All JobsFinancial Engineer JobsFinancial Engineer Jobs in Texas

Financial Engineer information

See Texas salary details

$70.8K

$103.2K

$126.7K

How much do financial engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for financial engineer in Texas is $103,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $116,000.00 per year, depending on experience, location, and employer.

What is a financial engineer?

A financial engineer, also called a computational engineer, advises clients on investment strategies and risk management based on quantitative analysis of their portfolio and the atmosphere in the stock market. As a financial engineer, your job duties include analyzing the stock market to predict how stocks will perform, building models of trends in the stock market based on market history, and make recommendations on how to manage their portfolio.

What is a financial engineer?

A Financial Engineer is a professional who applies mathematical techniques, computational tools, and financial theory to solve complex problems in finance. They are often involved in designing financial products, developing risk management strategies, and building quantitative models for pricing, trading, and portfolio management. Financial Engineers typically work for banks, investment firms, or financial technology companies, and their expertise is essential for managing financial risks and innovating new financial instruments.

What skills should a financial engineer have?

To thrive as a Financial Engineer, you need a strong background in mathematics, statistics, finance, and programming, typically supported by a degree in quantitative fields such as finance, mathematics, engineering, or computer science. Familiarity with technical tools like Python, R, MATLAB, financial modeling software, and sometimes certifications like CFA or FRM is highly valued. Exceptional problem-solving, analytical thinking, and the ability to communicate complex concepts clearly are vital soft skills. These skills and qualifications are crucial for designing innovative financial models, managing risks, and enabling data-driven decision-making in complex financial environments.

What are some common challenges financial engineers face when developing quantitative models, and how can they address them?

Financial Engineers often encounter challenges such as ensuring model accuracy, dealing with incomplete or noisy data, and adapting models to rapidly changing market conditions. Addressing these issues typically requires strong collaboration with data scientists, risk managers, and traders to validate assumptions and stress-test models under various scenarios. Staying current with industry trends and regulatory requirements also helps Financial Engineers maintain robust, compliant solutions that add value to their organizations.

What is the difference between Financial Engineer vs Quantitative Analyst?

AspectFinancial EngineerQuantitative Analyst
Required CredentialsDegree in finance, mathematics, or engineering; often CFA or FRM certificationsDegree in finance, mathematics, or statistics; often CFA or FRM certifications
Work EnvironmentFinancial institutions, hedge funds, investment banksAsset management firms, hedge funds, investment banks
Job FocusDeveloping complex financial models, derivatives pricing, risk managementData analysis, model development, trading strategies
Common UsageDesigning financial products and strategiesAnalyzing data to inform trading decisions

Financial Engineers and Quantitative Analysts share similar educational backgrounds and certifications, often working in similar environments like investment banks and hedge funds. While Financial Engineers focus on creating complex financial models and derivatives, Quantitative Analysts primarily analyze data to support trading strategies. Both roles require strong quantitative skills and contribute to financial innovation and risk management.

Do financial engineers make a lot of money?

Financial engineers often earn high salaries due to their specialized skills in quantitative analysis, modeling, and programming. Compensation varies based on experience, location, and industry, but many financial engineers have the potential to earn six-figure incomes or more, especially with advanced degrees and certifications like the CFA or FRM.

How much do financial engineers make?

Financial engineers in general earn a median annual salary of around $100,000 to $130,000, with experienced professionals and those working in major financial centers earning higher. Salaries can vary based on experience, education, certifications like CFA or FRM, and the complexity of financial models used. Entry-level positions typically start lower, while senior roles can exceed $200,000 annually.
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Financial Engineer jobs near you
Infographic showing various Financial Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $103,238 per year, or $49.6 per hour.

Sr. Data Engineer

Allworth Financial

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Allworth Financial (www.allworthfinancial.com) is an independent investment financial advisory firm that specializes in retirement planning, investment advising, and 401(k) management with a direct approach to financial planning. Allworth Financial delivers long- and short-term investment planning solutions and advice to help clients achieve their goals and plan strategically for retirement.
Allworth Financial is a high growth, private equity backed, multi branch Registered Investment Advisor. Founded in Sacramento, California, in 1993 Allworth is primarily a fee-based, employee-centric fiduciary advisory firm, that prides itself on emphasizing client well-being and education. The business is a multi-billion dollar firm and is on track for continued growth through both acquisitions and strong organic growth. Allworth is considered a great place to work and was once again given the prestigious "Circle of Excellence" award by the National Business Research Institute for employee and client satisfaction in 2021, placing it among the best-loved brands in America. Allworth Financial was also recognized as a Barron's Top 40 RIA in 2024.
SUMMARY:
This is an opportunity to join a high growth business as the Data Engineer. The position will work with the Analytics & Insights team at Allworth Financial to optimize the company's existing data infrastructure to support a robust data analytics and reporting structure.
We are looking for a Senior Data Engineer, or similarly experienced data modernization professional, to help guide the next stage of our data platform evolution. This role will support the modernization of legacy SQL-based processes into scalable, maintainable cloud data pipelines, while also helping us identify architectural gaps, improve engineering standards, and mature our data governance practices.
The ideal candidate has broad hands-on experience across data engineering, cloud data platforms, ETL/ELT design, data modeling, orchestration, performance tuning, data quality, and governance. We are looking for someone who can both build and advise: someone who can write production-quality pipelines, review existing architecture, mentor team members, and point out the risks, patterns, and opportunities we may not yet know to look for.
This person will play a key role in helping us move from legacy stored procedures and fragmented reporting processes toward a more reliable, transparent, and well-governed modern data architecture.
This is a full-time Exempt location. Ideal candidate will be able to work hybrid work schedule in our Addison office.
DUTIES AND RESPONSIBILITIES:
  • Design, build, and optimize data pipelines using PySpark, Delta Lake, SQL, and cloud-based data engineering tools.
  • Improve data pipeline reliability, observability, logging, error handling, and restartability.
  • Review existing notebooks, SQL scripts, data models, and orchestration workflows for maintainability and performance.
  • Guide best practices for Azure Synapse, Spark, Delta Lake, data lake storage, and related cloud data services.
  • Identify architectural gaps, technical debt, and modernization risks.
  • Help design and implement data quality checks, reconciliation processes, and validation frameworks.
  • Support development of canonical IDs, master data patterns, and entity resolution processes.
  • Assist with data cataloging, lineage, metadata management, and governance practices.
  • Partner with business stakeholders to understand reporting, analytics, and data product requirements.
  • Help structure scalable data models for BI tools such as ThoughtSpot, Power BI, or similar platforms.
  • Mentor data team members and help raise the overall engineering maturity of the team.
  • Provide guidance on what we may be overlooking in areas such as security, performance, cost, governance, orchestration, testing, and long-term maintainability.

QUALIFICATIONS:
  • 5+ years of professional experience in data engineering, analytics engineering, data architecture, or a closely related role.
  • Strong SQL skills, including stored procedures, joins, window functions, CTEs, merge logic, and performance tuning.
  • Hands-on experience with PySpark or distributed data processing frameworks.
  • Experience designing and maintaining ETL/ELT pipelines in a cloud environment.
  • Experience with data lake or lakehouse architecture, including Delta Lake or similar table formats.
  • Strong understanding of data modeling concepts, including dimensional modeling, staging layers, curated layers, and semantic/reporting models.
  • Experience with pipeline orchestration, scheduling, dependency management, and failure recovery.
  • Ability to troubleshoot data quality issues, pipeline failures, schema drift, performance bottlenecks, and source system inconsistencies.
  • Familiarity with modern data governance concepts, including cataloging, lineage, ownership, access control, data definitions, and data quality monitoring.
  • Ability to communicate clearly with both technical and non-technical stakeholders.
  • Experience reviewing existing systems and recommending practical, incremental improvements.
  • Experience with Azure Synapse Analytics, Azure Data Lake Storage, Microsoft Fabric, Azure Data Factory, or related Azure data services.

BENEFITS
We value our associates' time and effort. Our commitment to your success is enhanced by our competitive base pay and an extensive benefits package, including:
  • Medical: Blue Shield (PPOs and HDHP with HSA) plans and Kaiser (HMO) plans for California associates
  • Dental insurance with MetLife
  • Vision insurance with VSP
  • Optional supplemental benefits
  • Healthcare savings accounts with company contribution
  • Flexible spending accounts
  • Flexible working arrangements
  • Generous 401K contributions
  • Exempt associates qualify for our flexible paid time off policy
  • Non-Exempt associates will receive 15 days of paid time off annually during the first three years of employment
  • 11 Paid Holidays
  • Option to participate in our Equity Purchase Program (Contract, intern, and part-time employees are not eligible)
  • Future growth opportunities within the company

In addition, we work to maintain the best possible environment for our associates, where people can learn and grow with the firm. We strive to provide a collaborative, creative environment where each person feels encouraged to contribute to our processes, decisions, planning and culture.
Benefits are available to full-time associates who work more than 30 hours a week.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. Typical reporting relationships are described, but actual relationships may vary in some instances. This job description is not intended to be an exhaustive list of all responsibilities, duties, skills, or knowledge required of personnel classified in this job.
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