1

Weekend Financial Data Engineer Jobs (NOW HIRING)

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 ...

Financial Data Engineer

Norman, OK · On-site

$93K - $121K/yr

Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or a related sciences/technology field, or equivalent experience * 3-5 years of experience in any/all ...

Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or a related sciences/technology field, or equivalent experience * 3-5 years of experience in any/all ...

Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or a related sciences/technology field, or equivalent experience * 3-5 years of experience in any/all ...

Senior Financial Data Engineer

Palo Alto, CA · On-site

$124K - $169K/yr

We are looking for a Senior Financial Data Engineer who will become the technical backbone of our global finance team. This is not a traditional data engineering role. It is not a pure finance role ...

Partner with Data Engineering to: - define financial data requirements, - validate pipelines and transformations, - ensure correct data mapping and lineage. * Maintain and improve the financial ...

Partner with Data Engineering to: - define financial data requirements, - validate pipelines and transformations, - ensure correct data mapping and lineage. * Maintain and improve the financial ...

DATA ENGINEER

Virginia Beach, VA · On-site

$101K - $121K/yr

AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Banking to support data pipelines and analytics platforms for financial systems. This role focuses on ingesting, transforming, and ...

The Data Engineer will design, build, and optimize scalable data pipelines and architectures that transform raw financial data into highquality, analyticsready, and AIenabled datasets . These ...

The Data Engineer will design, build, and optimize scalable data pipelines and architectures that transform raw financial data into highquality, analyticsready, and AIenabled datasets . These ...

Sr. Big Data Engineer

Charlotte, NC · On-site

$54.50 - $72/hr

Big Data Engineer Location: Charlotte, NC (onsite) Duration : 12 months ext. Job Type: W2 contract ... Implement data governance and quality frameworks for financial data * Collaborate with data ...

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

... to provide financial business intelligence and enable data-driven decision-making. The role ... As a member of the Finance Data Team, the data engineer serves as a critical support for the bridge ...

... Data Engineer - Finance to build and maintain the data infrastructure that powers its finance ... financial initiatives. This is a 6-month, full-time onsite contract with the possibility of ...

... Data Engineer - Finance to build and maintain the data infrastructure that powers its finance ... financial initiatives. This is a 6-month, full-time onsite contract with the possibility of ...

... Data Engineer - Finance to build and maintain the data infrastructure that powers its finance ... financial initiatives. This is a 6-month, full-time onsite contract with the possibility of ...

Staff Data Engineer

Austin, TX · On-site

$160K - $195K/yr

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 ...

... Data Engineer - Finance to build and maintain the data infrastructure that powers its finance ... financial initiatives. This is a 6-month, full-time onsite contract with the possibility of ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Data Engineer Location: Mclean, VA Duration: Long term contract Note: Looking for Ex-Capital One ... financial data. This role involves working closely with Capital One's data, analytics, and ...

next page

Showing results 1-20

Weekend Financial Data Engineer information

See salary details

$60.5K

$122.1K

$167.5K

How much do weekend financial data engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for weekend financial data engineer in the United States is $122,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $140,000.00 per year, depending on experience, location, and employer.

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

AspectWeekend Financial Data EngineerWeekend Financial Data Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related field; experience with data engineering toolsBachelor's in Finance, Economics, or related; strong analytical skills
Work EnvironmentFocus on building data pipelines, managing databases, and infrastructureFocus on analyzing data, creating reports, and providing insights
Employer & Industry UsageFinancial institutions, fintech companies, investment firmsBanking, investment firms, financial consultancies
Common Search & ComparisonOften compared based on technical skills and infrastructure tasksCompared based on analytical skills and reporting capabilities

The Weekend Financial Data Engineer primarily focuses on developing and maintaining data infrastructure, requiring technical skills in data engineering tools. In contrast, the Weekend Financial Data Analyst emphasizes analyzing financial data and generating insights. Both roles are vital in financial organizations but differ in their core responsibilities and skill sets.

More about Weekend Financial Data Engineer jobs
What cities are hiring for Weekend Financial Data Engineer jobs? Cities with the most Weekend Financial Data Engineer job openings:
What are the most commonly searched types of Financial Data Engineer jobs? The most popular types of Financial Data Engineer jobs are:
What states have the most Weekend Financial Data Engineer jobs? States with the most job openings for Weekend Financial Data Engineer jobs include:
Infographic showing various Weekend Financial Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,112 per year, or $58.7 per hour.

Financial Data Engineer

Equifax, Inc.

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago


Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 27 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

What Equifax employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Equifax logo

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

Social media