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Contract Financial Data Engineer Jobs in Missouri

Financial Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

As the Financial Data Engineer, you will be instrumental in designing and developing frameworks for supporting data solutions at scale with minimal friction moving from prototype to production. You ...

Data Engineer

Clayton, MO · On-site

$107K - $128K/yr

Clayton, Missouri (Partial Remote) Role Overview We are seeking a Data Engineer for a role in the financial services industry. The position involves authoring, debugging, and optimizing complex data ...

BI & Data Engineer

Saint Louis, MO · Hybrid

$111K - $133K/yr

Position Summary The BI & Data Applications Engineer is an experienced BI and data engineering ... Experience in financial services, wealth management, or other regulated industries is a plus.

BI & Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Position Summary The BI & Data Applications Engineer is an experienced BI and data engineering ... Experience in financial services, wealth management, or other regulated industries is a plus.

Data Engineer-US

Columbia, MO · On-site +1

$109K - $130K/yr

... in financial services, insurance technology, and enterprise software. We partner directly with ... We are seeking a Senior Data Engineer to design, implement, and maintain scalable data pipelines ...

Data Engineer - Multiple Positions

Chesterfield, MO · On-site

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to ...

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to ...

Senior Data Engineer

Clayton, MO · On-site

$80 - $90/hr

Senior Data Engineer Remote Role Contract to Hire Compensation: $80 - $90/hour, DOE ABOUT THE ROLE ... Experience working in a regulated enterprise environment, preferably healthcare or financial ...

$88K - $106K/yr

You'll operate in a highly regulated financial services environment where data integrity, security ... Collaborate with detection engineering and security operations teams to ensure telemetry supports ...

Data Engineer II

Kansas City, MO · On-site

$111K - $134K/yr

As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

Data Engineer II

Saint Louis, MO · On-site

$111K - $133K/yr

As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

In this position, you will work closely with other Data Engineers on your team and members of the ... financial, accounting, or payments systems * Experience with CI/CD such as GitHub Actions or ...

Lead Data Engineer

Clayton, MO · On-site

$65 - $75/hr

Employee Assistance Program (EAP) with services like virtual counseling, financial and legal ... We offer flexible hiring models, including contract, contract-to-hire, and direct placement to meet ...

$81K - $111K/yr

Experience with loyalty, retail, QSR, financial services, or subscription-based customer datasets ... Six-month fixed-term contract opportunity within a rapidly scaling, technology-focused environment.

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Contract Financial Data Engineer information

What is the difference between Contract Financial Data Engineer vs Contract Data Analyst?

AspectContract Financial Data EngineerContract Data Analyst
Required CredentialsBachelor's in Finance, Data Science, or related field; experience with SQL, Python, and financial toolsBachelor's in Business, Economics, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentFinancial institutions, consulting firms, or corporate finance teamsBusiness departments, consulting firms, or market research companies
Employer & Industry UsageUsed in finance, banking, and investment sectorsCommon in marketing, retail, and corporate analysis

The Contract Financial Data Engineer focuses on building and maintaining financial data pipelines, integrating complex financial datasets, and supporting financial modeling. In contrast, the Contract Data Analyst primarily interprets data, creates reports, and provides insights to inform business decisions. While both roles require data skills, the Financial Data Engineer emphasizes data engineering and financial systems, whereas the Data Analyst concentrates on analysis and visualization.

What are the most commonly searched types of Financial Data Engineer jobs in Missouri?

The most popular types of Financial Data Engineer jobs in Missouri are:

What are popular job titles related to Contract Financial Data Engineer jobs in Missouri?

For Contract Financial Data Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Contract Financial Data Engineer jobs in Missouri look for?

The top searched job categories for Contract Financial Data Engineer jobs in Missouri are:

Infographic showing various Contract Financial Data Engineer job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.

Financial Data Engineer

Saint Louis, MO • On-site


Equifax, Inc.
IT Services • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

People enjoy working here

Good employer

Paid breaks


$111K - $133K/yr

Full-time

Medical, Retirement, PTO

Re-posted 3 days ago


Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax Workforce Solutions Finance is a high-energy, fast-growing organization within Equifax charged with building and supporting best-in-industry financial insights and analytical solutions. We deliver solutions and insights to enable success for our customers, drive growth for our business, and create value for our shareholders.
As the Financial Data Engineer, you will be instrumental in designing and developing frameworks for supporting data solutions at scale with minimal friction moving from prototype to production. You will own all Workforce Solutions Financial data elements, curating an optimized environment to drive Financial insights that move the business forward. Through interactions with Data Stewards, Data Scientists, IT, and Analysts, the Financial Data Engineer will review and recommend WS Finance's strategy utilizing GCP tools and data storage.
This role requires being in the office 3 days/week on Tues - Thurs.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
What you'll do
  • Assist in the design and implementation of the Equifax Workforce Solutions Finance data models in GCP
  • Participate in the development of strategies, standards, and best practices in the areas of data access and integration within GCP
  • Create recommendations for increasing data utilization based on understanding of the data delivery environment
  • Partner with Technology, Security, Data Governance, and IT Operations to facilitate and accelerate the movement of key Financial data assets to GCP
  • Stay current with rapidly developing GCP technologies landscape and share knowledge with team
  • Support the technology roadmap and architectural discussions, translating high-level business vision into scalable engineering deliverables within an Agile framework
  • Orchestrate automated data workflows and processes using Python, Airflow, Jenkins and/or Astronomer to eliminate manual intervention and increase operating efficiency
  • Execute rigorous software development activities, including unit testing and code deployment, while reviewing unfamiliar code within a shared codebase to ensure codebase health by completing code review, refinement and optimization
  • Research and evaluate emerging data sources and advanced technologies including ML, AI and RPA to enhance the existing data strategy and to optimize the output of the Finance organization
  • Partner with governance and compliance professionals to ensure the ethical and legal use of data assets and maintain precise lineage tracking
  • Collaborate with IT Centers of Excellence (COEs) to refine ETL toolsets, ensuring continuous improvements in cycle time and system performance
  • Author training materials and lead sessions to educate internal teams on data strategy, operating models, and evolving data capabilities
  • Deconstruct complex organizational problems into actionable data components to drive evidence-based solutions
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues, completing a root cause analysis and implementing solutions to resolve the identified issue in both the short and long-term
  • Support the technology roadmap and architectural discussions, translating high-level business vision into scalable engineering deliverables within an Agile framework
  • Orchestrate automated data workflows and processes using Python, Spark, Airflow, Jenkins and/or Astronomer to eliminate manual intervention and increase operating efficiency
  • Execute rigorous software development activities, including unit testing and code deployment, while reviewing unfamiliar code within a shared codebase to ensure codebase health by completing code review, refinement and optimization
  • Research and evaluate emerging data sources and advanced technologies including ML, AI and RPA to enhance the existing data strategy and to optimize the output of the Finance organization
  • Partner with governance and compliance professionals to ensure the ethical and legal use of data assets and maintain precise lineage tracking
  • Collaborate with IT Centers of Excellence (COEs) to refine ETL toolsets, ensuring continuous improvements in cycle time and system performance
  • Author training materials and lead sessions to educate internal teams on data strategy, operating models, and evolving data capabilities
  • Deconstruct complex organizational problems into actionable data components to drive evidence-based solutions
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues, completing a root cause analysis and implementing solutions to resolve the identified issue in both the short and long-term
What experience you need
  • Bachelor degree in Computer Science, Information Systems, Statistics, Economics, or equivalent quantitative field with heavy emphasis on programming
  • 5+ years of experience in building, loading, transforming, and analyzing data within and across database platforms and other data stores is required
  • 5+ years of experience working in GCP or a similar cloud environment
  • 5+ years of scripting/coding experience
  • Proficiency in one or more to the following languages / tools: Python, SQL, BigQuery, Airflow / Cloud Composer

What could set you apart
  • Experience with data visualization tools such as Tableau / Looker / Spotfire

#LI-Hybrid
#LI-SM1
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-St. Louis-Clayton
Function:
Function - Data and Analytics
Schedule:
Full time

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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What Equifax employees say

Pay

Benefits

Hours and flexibility

Workplace

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