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Weekday 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

Chesterfield, MO · On-site +1

$113K - $136K/yr

We leverage cutting-edge technology to streamline financial and operational processes, improving efficiency and patient outcomes. We are looking for a Data Engineer to help optimize data pipelines ...

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

We leverage cutting-edge technology to streamline financial and operational processes, improving efficiency and patient outcomes. We are looking for a Data Engineer to help optimize data pipelines ...

Data Engineer

Chesterfield, MO · On-site

$113K - $136K/yr

We leverage cutting-edge technology to streamline financial and operational processes, improving efficiency and patient outcomes. We are looking for a Data Engineer to help optimize data pipelines ...

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.

Senior, Data Engineer

Anderson, MO · On-site

$90K - $180K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

New

Senior, Data Engineer

Cassville, MO · On-site

$90K - $180K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

New

Senior, Data Engineer

Noel, MO · On-site

$90K - $180K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

New

$81K - $111K/yr

Partner closely with product, finance, growth, and engineering teams to translate business questions into trusted data solutions. * Leverage AI-powered development tools to improve engineering ...

$128K - $138K/yr

This mission-critical program modernizes financial system compliance and audit workflows across 180+ DoW systems. You will engineer the data backbone powering AI-assisted validation, semantic search ...

(USA) Data Engineer III

Anderson, MO · On-site

$90K - $180K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data engineering, database engineering, business intelligence, or business analytics, Master ...

(USA) Data Engineer III

Noel, MO · On-site

$90K - $180K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data engineering, database engineering, business intelligence, or business analytics, Master ...

(USA) Data Engineer III

Cassville, MO · On-site

$90K - $180K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data engineering, database engineering, business intelligence, or business analytics, Master ...

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Showing results 1-20

Weekday Financial Data Engineer information

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

AspectWeekday Financial Data EngineerFinancial Data Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related field; experience with data engineering toolsBachelor's in Finance, Economics, or related field; strong analytical skills
Work EnvironmentData engineering teams, technical departments, often in tech-driven financial firmsFinance departments, investment firms, or banks, focusing on data interpretation
Employer & Industry UsageFinancial institutions, fintech companies, hedge fundsBanking, asset management, investment firms

Weekday Financial Data Engineers focus on building and maintaining data pipelines and infrastructure, while Financial Data Analysts interpret data to support decision-making. Both roles require strong analytical skills, but the engineer role emphasizes technical data management, whereas the analyst role centers on data analysis and reporting.

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:
Financial Data Engineer

Financial Data Engineer

Equifax, Inc.

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Medical, Retirement, PTO

Posted 16 days ago


Equifax rating

7.6

Company rating: 7.6 out of 10

Based on 25 frontline employees who took The Breakroom Quiz


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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Pay

Benefits

Hours and flexibility

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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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