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Senior Financial Data Engineer Jobs in Missouri (NOW HIRING)

Equifax, Inc.

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 ...

AaraTechnologies Inc

DATA ENGINEER

Kansas City, MO · On-site

$111K - $134K/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 ...

watlow

Sr. Financial Analyst

Saint Louis, MO

$81K - $101K/yr

Our headquarters is more than just an office, it's a hub for collaboration, advanced engineering ... Data Storytelling & Visualization : Transform complex financial data into compelling narratives ...

Watlow

Sr. Financial Analyst

Saint Louis, MO · On-site

$81K - $101K/yr

Data Storytelling & Visualization : Transform complex financial data into compelling narratives ... Bachelor's degree in Finance, Accounting, Economics, Statistics, Engineering or a related field ...

Jobgether

$81K - $111K/yr

Our partner is looking for a Senior Data Engineer based in Netherlands. The role focuses on ... Experience with semantic data layers, ClickHouse at scale, financial or credit-related data systems ...

Navtech, Inc.

Sr Data Engineer

Lake Saint Louis, MO · On-site

$108K - $130K/yr

Senior Data Engineer Position Purpose: This position will provide the IT Shared Services with a platform for real-time stream processing by performing application and production support to help ...

C2FO

Senior Data Engineer I

Kansas City, MO · On-site

$103K - $140K/yr

Senior Data Engineer I More than a mission, C2FO is a better financial system, changing the way every business gains access to the working capital they need to thrive. At C2FO, everyone is an ...

C2FO

Senior Data Engineer I

Kansas City, MO · On-site +1

$103K - $140K/yr

Senior Data Engineer I More than a mission, C2FO is a better financial system, changing the way every business gains access to the working capital they need to thrive. At C2FO, everyone is an ...

EBS Recruiters LLC

Senior Financial Analyst

Clayton, MO · On-site

$79K - $99K/yr

Partner cross-functionally to gather data, validate assumptions, and ensure reporting accuracy ... Bachelor's degree in Finance, Accounting, Business, Engineering, or related field required ...

Jobgether

$88K - $106K/yr

Our partner is looking for a Data Engineer, Sr. based in Netherlands. Join a high-impact engineering team focused on modernizing large-scale data infrastructure and supporting critical database ...

New

Equifax, Inc.

Senior Data Engineer

Saint Louis, MO · On-site

$103K - $140K/yr

As a Senior Data Engineer, you will lead the evolution of our data platform, and build data products, AI capabilities, and self-service solutions for the users of our data platform. What you'll do

Jobgether

$94K - $124K/yr

In this senior role, you will combine hands-on data engineering expertise with solution ... Build integrations across ERP, manufacturing, finance, and quality management systems while ...

New

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Senior Financial Data Engineer information

What is the difference between Senior Financial Data Engineer vs Financial Data Engineer?

AspectSenior Financial Data EngineerFinancial Data Engineer
Required CredentialsBachelor's/Master's in Computer Science, Finance, or related; experience in data engineeringBachelor's in relevant field; entry-level experience in data engineering
Work EnvironmentFinancial institutions, investment firms, banksFinancial firms, fintech companies, data consultancies
Employer & Industry UsageUsed in finance-heavy roles requiring advanced data skillsEntry to mid-level roles in finance and data sectors

The main difference is experience level and responsibility. Senior Financial Data Engineers handle complex data projects, mentor teams, and have more strategic input, while Financial Data Engineers focus on building and maintaining data pipelines at an entry or mid-level. Both roles require strong technical skills and finance industry knowledge, but the senior role involves leadership and advanced problem-solving.

What are the key skills and qualifications needed to thrive as a senior financial data engineer, and why are they important?

To thrive as a Senior Financial Data Engineer, you need advanced knowledge in data engineering, financial data modeling, and programming languages such as Python or Scala, usually supported by a degree in computer science, finance, or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (AWS, Azure, or GCP), and data warehousing solutions, along with certifications in relevant technologies, are typically required. Strong problem-solving, communication, and project management skills distinguish top performers in this role. These competencies are crucial for efficiently transforming complex financial data into actionable insights and ensuring accuracy, security, and scalability in financial systems.

What does a senior financial data engineer do?

A Senior Financial Data Engineer designs, builds, and manages data infrastructure specifically for financial systems and organizations. They work with large volumes of financial data, ensuring its quality, security, and accessibility for analysis and reporting. This role often involves collaborating with data scientists, analysts, and business stakeholders to create pipelines and tools that support financial modeling, risk assessment, and business intelligence. Senior Financial Data Engineers also play a key role in implementing best practices for data governance and regulatory compliance.

How does a senior financial data engineer typically collaborate with cross-functional teams in a financial organization?

A Senior Financial Data Engineer often works closely with data analysts, financial modelers, software developers, and business stakeholders to design and implement robust data pipelines and solutions. Collaboration involves translating business requirements into technical specifications, ensuring data quality and compliance, and enabling seamless data integration across platforms. Regular meetings and agile ceremonies are common, fostering open communication and fast adaptation to changing business needs. This cross-functional teamwork is crucial for delivering accurate, timely financial insights and supporting strategic decision-making.
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 Senior Financial Data Engineer jobs in Missouri? For Senior Financial Data Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Senior Financial Data Engineer jobs in Missouri look for? The top searched job categories for Senior Financial Data Engineer jobs in Missouri are:
Senior Financial Data Engineer jobs near you

Financial Data Engineer

Equifax, Inc.

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Medical, Retirement, PTO

Re-posted 10 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

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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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