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

Allworth Financial

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

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 ...

MPOWERHealth

Data Engineer

Addison, TX · Hybrid

$110K - $133K/yr

Overview The Data Engineer will play a lead role in acquiring, transforming, and integrating data ... or financial data or other highly regulated vertical segments. * 2+ years of experience using ...

MPOWERHealth

Data Engineer

Addison, TX · Hybrid

$110K - $133K/yr

... or financial data or other highly regulated vertical segments. 2+ years of experience using python Strong working knowledge of Azure ecosystem tools. Advanced proficiency in T-SQL and SQL Server.

MPOWERHealth

Data Engineer

Addison, TX · Hybrid

$110K - $133K/yr

The Data Engineer will play a lead role in acquiring, transforming, and integrating data from ... or financial data or other highly regulated vertical segments. • 2+ years of experience using ...

MPOWERHealth

Data Engineer

Addison, TX · On-site

$110K - $133K/yr

Overview The Data Engineer will play a lead role in acquiring, transforming, and integrating data ... or financial data or other highly regulated vertical segments. • 2+ years of experience using ...

Allworth Financial

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The position will work with the Analytics & Insights team at Allworth Financial to optimize the ... We are looking for a Senior Data Engineer, or similarly experienced data modernization professional ...

XTG

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Experience working with enterprise systems such as ERP, CRM, financial, operational, or supply ...

XTG

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Experience working with enterprise systems such as ERP, CRM, financial, operational, or supply ...

Saxon Global

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

... Financial Services, Retail, Telecom, Healthcare, Banking and Media Entertainment for their ... Data Engineer Frisco TX Individuals within the Data Engineering role work closely with business ...

GEI Consultants

Data Engineer

Dallas, TX

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses

GEI Consultants

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses

Charles Schwab Inc.

Data Engineer

Southlake, TX · On-site

$43.27 - $52.88/hr

... and transform the finance industry together. We believe in the importance of in-office ... As a Data Engineer, you will help develop, test, and maintain data pipelines that support accurate ...

Charles Schwab Inc.

Data Engineer

Southlake, TX · On-site

$43.27 - $52.88/hr

... and transform the finance industry together. We believe in the importance of in-office ... As a Data Engineer, you will help develop, test, and maintain data pipelines that support accurate ...

Qorvo, Inc.

Data Engineer

Richardson, TX · On-site

$103K - $124K/yr

Partner with business leaders, engineering, IT, manufacturing, quality, finance, and other cross ... Design and maintain reliable data pipelines, feature pipelines, experimentation frameworks, and ...

Qorvo, Inc.

Data Engineer

Richardson, TX · On-site

$103K - $124K/yr

Partner with business leaders, engineering, IT, manufacturing, quality, finance, and other cross ... Design and maintain reliable data pipelines, feature pipelines, experimentation frameworks, and ...

Tata Consultancy Service Limited

Data Engineer

Addison, TX · On-site

$95K - $120K/yr

... data systems. They guide stakeholders, Product Owners, and Software Engineers through the design ... Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student ...

Conch Technologies Inc

AI Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

AI Data Engineer Location: Frisco, TX or Louisville, KY (Hybrid) Duration: 12+ Months Note : Only ... Experience working in regulated industries such as: * Healthcare * Financial Services * Solid ...

Kimley-Horn

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Personal leave, flexible scheduling, floating holidays, and half-day Fridays. * Financial Wellness:

Kimley-Horn

Data Engineer

Dallas, TX

$110K - $132K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible ... Personal leave, flexible scheduling, floating holidays, and half-day Fridays. * Financial Wellness:

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All JobsFinancial Data Engineer JobsFinancial Data Engineer Jobs in Dallas, TX

Financial Data Engineer information

See Dallas, TX salary details

$41.1K

$119.7K

$163.8K

How much do financial data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for financial data engineer in Dallas, TX is $119,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $126,900.00 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 Dallas, TX? The most popular types of Financial Data Engineer jobs in Dallas, TX are:
What are popular job titles related to Financial Data Engineer jobs in Dallas, TX? For Financial Data Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Financial Data Engineer jobs in Dallas, TX look for? The top searched job categories for Financial Data Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Financial Data Engineer jobs? Cities near Dallas, TX with the most Financial Data Engineer job openings:
Financial Data Engineer jobs near you
Infographic showing various Financial Data Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 79% In-person, 8% Hybrid, and 13% Remote job distribution, with an average salary of $119,727 per year, or $57.6 per hour.

Sr. Data Engineer

Allworth Financial

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 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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