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Weekday Financial Data Engineer Jobs in Oregon (NOW HIRING)

... financial services . Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size. Headquartered in the United States , we ...

Databricks Certified Data Engineer Professional certification. * Experience with Azure cloud ... Insurance or Financial Services industry experience. * Experience leading enterprise-scale ...

OR

$160K - $177K/yr

... data platforms, Financial Data Platform (FDM), enterprise data products, and associated data ... Partner with Engineering teams to ensure seamless deployments into production. * Manage platform ...

... and Finance to get things done. About NMI NMI, a global leader in payment technologies, allows ... Build and refine segmentation and clustering models in BigQuery ML, including feature engineering ...

OR · On-site

$67.25 - $90/hr

This individual partners closely with engineering, analytics, governance, and business teams while ... Experience within financial services, insurance, or other highly regulated industries. Technical ...

Data Scientist

OR · On-site +1

Engineering About Terzo Terzo builds an AI-native enterprise data platform designed to power the commercial and financial operating system of modern companies. The platform transforms complex ...

OR · On-site

$114K - $137K/yr

Come Build With Us The Data Solutions Engineer sits at the intersection of Customer Experience and ... Finance and/or Computer Science degree strongly preferred

Showing results 21-40

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

Finance Product Owner - Data & Accounting

Goods & Services

OR

Full-time

Posted 13 days ago


Job description

About Goods & Services
Goods & Services is a product design and engineering company. 

We solve mission-critical challenges for some of the world's largest enterprises, with deep expertise in highly regulated industries-including life sciences and financial services. Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size. 

Headquartered in the United States, we operate regional development centers in Mexico and the United Kingdom. This global footprint-anchored by our nearshore model-enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect.

About the job
Goods & Services is looking for a Finance Product Owner - Data & Accounting who serves as the primary functional bridge between US Finance/Accounting leadership and the Data Engineering team. This role transforms accounting logic, general ledger feeds, and financial reconciliation workflows into actionable data models and technical backlogs.

What you'll do:

  • Partner directly with US Finance and Accounting executives to capture, prioritize, and structure business processes, regulatory requirements, and reporting objectives.
  • Collaborate with Data Engineers to translate general ledger feeds, accounting sub-ledgers, and complex reconciliation logic into data models, technical user stories, and acceptance criteria.
  • Own, groom, and prioritize the finance data backlog. Guide sprint refinement sessions and lead User Acceptance Testing (UAT) alongside accounting stakeholders.
  • Maintain real-time operational alignment with US financial leadership to ensure data platform delivery meets strict corporate finance and auditing standards.

What you'll need:

  • 5+ years of experience as a Product Owner or Senior Financial Systems Analyst interfacing with Data/Engineering teams.
  • Strong functional knowledge of US GAAP, General Ledger (GL) systems, sub-ledger reconciliation, and financial reporting.
  • Hands-on experience structuring user stories for Data Engineering/ETL teams.