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Financial Data Engineer Jobs in Texas (NOW HIRING)

As part of the Self Financial Data Engineering Team, your role will be to ensure that data remains a strategic asset for Self Financial by delivering timely, high-quality, and purpose-built data to ...

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

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 ...

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

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 ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... financial data integrity checks • Support the migration from legacy systems to a modern data ... engineering, including building, maintaining, and optimizing data pipelines and workflow • ...

Sr. Snowflake Data Engineer - Finance

Austin, TX · On-site

$113K - $136K/yr

... financial reporting and decision-making. Responsibilities : • Serve as the Snowflake technical lead for Finance, defining architecture, standards, and best practices for data engineering and data ...

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 ...

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 ...

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 ...

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 ...

Staff Data Engineer

Austin, TX · On-site

$160K - $195K/yr

Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic ... As our Staff Data Engineer, you will be responsible for organizing plans that drive outcomes and ...

Azure Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Role: Sr Azure Data Engineer Location: Frisco, TX 3 days onsite in a week Duration: Long term ... G(Bs Finance and Intelligence platforms. This role requires deep expertise in modern cloud data ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

They are seeking a talented and driven Data Engineer to help elevate their data platform by ... finance teams. • Share knowledge and support the growth of peers through code reviews ...

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 ...

Data Engineer

Lubbock, TX · On-site

$78K - $90K/yr

... financial services to our members. The Data Engineer II plays an advanced individual contributor ... role in supporting these efforts by designing, building, and maintaining scalable data systems and ...

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 ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

This role will collaborate with business units across Finance, HR, Client Growth, and other ... Key Responsibilities 1. Data Engineering & Pipeline Development * Design, develop, and maintain ...

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 ...

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Financial Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do financial data engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for financial data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What is a Financial Data Engineer job?

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 engineers make $300,000 a year?

Senior financial data engineers with extensive experience, advanced skills in data architecture, and proficiency in tools like SQL, Python, and cloud platforms can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, financial institutions, or tech companies, especially those requiring specialized expertise and leadership responsibilities.

What types of projects or responsibilities can I expect as a Financial Data Engineer?

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 engineers make $500,000?

Senior financial data engineers, especially those with extensive experience, advanced skills in data architecture, and proficiency in tools like SQL, Python, and cloud platforms, can earn $500,000 or more annually. High compensation often reflects leadership roles, specialized expertise, or work in high-demand industries such as finance or technology.

What does a financial data engineer do?

A financial data engineer designs, builds, and maintains data pipelines and infrastructure to process large volumes of financial data. They work with tools like SQL, Python, and cloud platforms to ensure data accuracy, security, and accessibility for analysis and decision-making. Strong programming skills and knowledge of financial systems are essential for this role.

Can I make 200k as a data engineer?

Financial Data Engineers with extensive experience, advanced skills in programming, data modeling, and tools like SQL and cloud platforms can potentially earn salaries of $200,000 or more, especially in high-cost living areas or with senior roles. Compensation varies based on location, industry, company size, and individual expertise.

What are the key skills and qualifications needed to thrive in the Financial Data Engineer position, and why are they important?

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 Texas? The most popular types of Financial Data Engineer jobs in Texas are:
What are popular job titles related to Financial Data Engineer jobs in Texas? For Financial Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Financial Data Engineer jobs in Texas look for? The top searched job categories for Financial Data Engineer jobs in Texas are:
What cities in Texas are hiring for Financial Data Engineer jobs? Cities in Texas with the most Financial Data Engineer job openings:
Staff Data Engineer

$160K - $195K/yr

Other

Re-posted 6 days ago


Job description

About the Role:

As our Staff Data Engineer, you will be responsible for organizing plans that drive outcomes and making a direct impact on our mission. We want you to provide technical leadership to your teammates through coaching and mentorship, and collaborate cross-functionally to implement impactful improvements to our product.

As part of the Self Financial Data Engineering Team, your role will be to ensure that data remains a strategic asset for Self Financial by delivering timely, high-quality, and purpose-built data to our team members. Our team supports Self Financial's internal Analytics, Machine Learning, and Business Intelligence organizations.

What you will do:

  • Operates as part of a cross functional product development team that includes Architecture, Infrastructure, and Product Management
  • Your primary focus will be on leading the data pipeline, modeling, and populating data schemas within Self Financial's Data Environment for use in business intelligence and data analysis activities.
  • Your day-to-day activities will include:
    • Collaborating closely with Product Management to translate Self Financial's strategic vision into actionable projects.
    • Architecture design, project analysis, work break down and planning.  
    • Creating Physical and Logical Data Models with large, complex data sets
    • Managing data pipeline, ETL/ELT processes using SQL and Python
    • Maintaining data lifecycle and quality standards

Who you are:

  • 8+ years of experience with database development, database integration, and data analytics tools
  • 8+ years of experience designing and implementing complex Data Warehouse and Data Lake data models (Kimball)
  • Willingness to embrace the responsibilities of team leadership and accountability for team results
  • Proficient in managing Data ETL/ELT with large data sets
  • Experience with columnar data structures such as Amazon RedShift
  • Familiarity with AWS data warehousing tools
  • Experience with common software engineering tools such as Git, JIRA, Confluence and similar platforms
  • Familiarity with Apache Airflow and Python
  • Excellent listening, interpersonal, written, and oral communication skills

Base salary range: $160,000-195,000 annually.  Individual pay and level is based on factors unique to each candidate, including skill set, experience, and other job-related reasons.