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

GM Financial

Data Engineer-Adobe Exp Platform

Irving, TX · On-site

$106K - $127K/yr

Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and ... Work with data engineering related groups to inform on and showcase capabilities of emerging ...

Capital One

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Capital One

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Contact Government Services, LLC

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... financial resources. We combine cutting-edge technology with world-class personnel to deliver ...

Contact Government Services, LLC

Data Engineer

Dallas, TX · On-site

$112K - $152K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... financial resources. We combine cutting-edge technology with world-class personnel to deliver ...

Capital One

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Orion180

Sr. Data Engineer

Irving, TX · On-site

$109K - $132K/yr

... financial datasets. * Create and optimize data models (dimensional, medallion/bronze-silver-gold ... Engineer and implement highly optimized Lakehouse architectures utilizing Azure Synapse Analytics ...

Genesis10

Data Engineer

Plano, TX · On-site

$90K - $150K/yr

Genesis10 is currently seeking a Data Engineer for a direct hire opportunity with a Financial Services Organization located in Plano, TX or Camas, WA. Summary: In this role, you will design and ...

Motion Recruitment

IAM Data Engineer

Irving, TX · Hybrid

$106K - $127K/yr

A well-known Financial Services Company is looking for a Information Security Engineer in Irving ... Data Processing (4 - 6 Years) * Google Cloud Platform (4 - 6 Years) * Pyspark (4 - 6 Years)

Toyota

Production Data Engineer

Plano, TX · On-site

$109K - $131K/yr

An important part of the Toyota family is Toyota Financial Services (TFS), the finance and ... Experience building and supporting full-stack data engineering solutions. * Experience developing ...

GM Financial

Manager - Data Engineering

Irving, TX · On-site

$106K - $127K/yr

Why GM Financial Technology Innovation isn't just a talking point at GM Financial, it's how we ... data engineer and practice * Conduct code reviews, suggest improvements, support technology ...

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

Financial Data Engineer information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do financial data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for financial data engineer in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

Data Engineer-Adobe Exp Platform

GM Financial

Irving, TX • On-site

$106K - $127K/yr

Full-time

Retirement

Re-posted 16 days ago

GM Financial rating

8.2

Company rating: 8.2 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

57th of 178 rated vehicle equipment hire

Job description


Why GMF Technology?
Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.
We are unable to provide visa sponsorship either now or in the future for this position.
This position will be posted until filled.
Responsibilities
About the role
We are expanding our efforts into complimentary data technologies for decision support in areas of ingesting and processing large data sets including data commonly referred to as semi-structured or unstructured data. Our interests are in enabling data science and search-based applications on large and low latent data sets in both a batch and streaming context for processing. To that end, this role will engage with team counterparts in exploring and deploying technologies for creating data sets using a combination of batch and streaming transformation processes. These data sets support both off-line and in-line machine learning training and model execution. Other data sets support search engine-based analytics. Exploration and deployment of technologies activities include identifying opportunities that impact business strategy, collaborating on the selection of data solutions software, and contributing to the identification of hardware requirements based on business requirements. Responsibility also includes coding, testing, and documentation of new or modified scalable analytic data systems including automation for deployment and monitoring. This role participates along with team counterparts to develop solutions in an end-to-end framework on a group of core data technologies.
In this role you will:
  • Contribute to the evaluation, research, experimentation efforts with batch and streaming data engineering technologies in a lab to keep pace with industry innovation
  • Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
  • Contribute to the definition and refinement of processes and procedures for the data engineering practice
  • Work closely with data scientists, data architects, ETL developers, other IT counterparts, and business partners to identify, capture, collect and format data from the external sources, internal systems, and the data warehouse to extract features of interest
  • Code, test, deploy, monitor, document and troubleshoot data engineering processing and associated automation

Qualifications
What makes You an ideal candidate?
  • Experience with Adobe solutions (ideally Adobe Experience Platform, XDM, RTCDP DTM/Launch) and REST APIs
  • Digital technology solutions (DMPs, CDPs, Tag Management Platforms, Cross-Device Tracking, SDKs, etc.) Knowledge of Real Time-CDP and Journey Analytics solution
  • SQL experience: querying data and sharing what insights can be derived
  • Working knowledge of Agile development /SAFe, Scrum and Application Lifecycle Management.
  • Experience with ingesting various source data formats such as JSON, Parquet, SequenceFile, Cloud Databases, MQ, Relational Databases such as Oracle.
  • Experience with Cloud technologies (such as Azure, AWS, GCP) and native toolsets.
  • Understanding of cloud computing technologies, business drivers and emerging computing trends.
  • Thorough understanding of Hybrid Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape.
  • Working knowledge of Object Storage technologies to include but not limited to Data Lake Storage Gen2, S3, Minio, Ceph, ADLS etc.
  • Strong background with source control management systems; Build Systems (Maven, Gradle, Webpack); Code Quality (Sonar); Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure DevOps).
  • Experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Flume or similar distributed systems.
  • Experience with NoSQL data stores such as CosmosDB, MongoDB, Cassandra, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise.
  • Creating and maintaining ETL processes
  • Knowledgeable of best practices in information technology governance and privacy compliance
  • Troubleshoot complex problems and work across teams to meet commitments.
  • Excellent computer skills and proficiency in digital data collection.
  • Ability to work in an Agile/Scrum team environment
  • Strong interpersonal, verbal, and writing skills.
  • Understanding of big data platforms and architectures, data stream processing pipeline/platform, data lake and data lake houses
  • Understanding of cloud solutions such as Google Cloud Platform, Microsoft Azure & Amazon AWS cloud architecture & services
  • Understanding of GDPR, privacy & security topics
  • Strong in the use of Microsoft Office software, data querying platforms (Databricks is a plus) and statistical programming tools such as Python

Education & Work Experience
  • High School Diploma or equivalent required
  • Bachelor's Degree in related field or equivalent experience required
  • 2-4 years of hands-on experience with data engineering required

Additional Knowledge and Skills
Working effectively within an AI enabled environment:
  • Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
  • Skills in evaluating AI outputs for accuracy, compliance, and bias
  • Experience integrating AI into workflows to improve efficiency or insights
  • Familiarity with AI assisted research, summarization, and content generation
  • Understanding of responsible AI use, including ethics and data protection

AI Skills Preferred:
  • Experience with AI assisted software development or automation
  • Knowledge of prompting techniques to improve output quality
  • Awareness of emerging GenAI capabilities and limitations

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Flexible hybrid work environment, 2-days a week in our Las Colinas/Irving, TX office.
NOTE: We are unable to consider candidates who require visa sponsorship for this position
This position is not open to agency submissions
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