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Weekday Financial Data Engineer Jobs in Oregon (NOW HIRING)

OR · On-site

$114K - $137K/yr

... Engineer II to join our dynamic team and play a pivotal role in shaping the future of data at ... Partner with other internal teams such as Product, Sales Ops, and Finance to deliver high-impact ...

Senior Data Scientist

OR · Remote

$84K - $112K/yr

Contribute to high-impact initiatives that advance how data and AI are used across Finance. What We Look For in a Candidate 3-5 years of experience in data science, data engineering, analytics, or a ...

Overview How you can make a difference At HealthEquity, protecting sensitive healthcare and financial data is missioncritical. As a Senior Data Security Engineer, you'll play a direct role in shaping ...

OR · On-site

$114K - $137K/yr

Every day, thousands of developers and marketers create, iterate, and scale WordPress and Drupal ... Work with Product, Sales, Ops, Finance and other teams to deliver high-impact data solutions and ...

Senior Software Engineer - Lending Platform

OR · Remote

$122K - $161K/yr

Deliver scalable data processing solutions that transform high-volume financial events into ... Lead multi-quarter engineering initiatives from architecture through production, balancing ...

Sr Software Engineer - Lending Platform

OR · Remote

$122K - $161K/yr

Deliver scalable data processing solutions that transform high-volume financial events into ... Lead multi-quarter engineering initiatives from architecture through production, balancing ...

OR · On-site

$330K - $566K/yr

... FP&A, content planning, production finance, and more. These teams rely on timely, trustworthy data ... We're looking for a Senior Analytics Engineer to join our team - someone who combines deep ...

... financial payment cards, personalization and fulfillment, and Software-as-a-Service (SaaS) instant ... Data Engineering Strategy and Delivery (25%) - Own the strategy, roadmap, and delivery of the ...

... financial workflows. This role focuses on structuring complex healthcare data from electronic ... Specific Job Skills: * 12+ years of software engineering experience, including hands‑on technical ...

Data Visualization Engineer 4

Beaverton, OR · On-site

$119K - $143K/yr

... finance partners - This role is priority, and the team will be prioritizing those who can start ASAP - The HM would like suppliers to let potential candidates know of DTL weeks in December so that ...

Staff Software Engineer, Data Infrastructure

OR · Remote

$114K - $137K/yr

You'll collaborate closely with engineering leadership and stakeholders across Data Science, ML Platform, Ads Infrastructure, Finance Engineering, Product Engineering, and Security. You'll operate ...

Senior Risk & Compliance Engineer - Data

OR · Remote

$105K - $143K/yr

Support risk quantification efforts that express security exposure in financial terms, connecting ... data engineering, with demonstrated ability to write production-level code in Python and SQL ...

Work closely with data engineering, data science, data governance, and platform teams to develop ... Knowledge in financial services process/workflow, including data management, card transactions ...

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object ...

Partner with BI, analytics, engineering, product, finance, and business teams to improve data trust, reporting reliability, platform usability, and delivery speed. Required Experience * 7+ years of ...

OR · On-site

Partner with Product, Engineering, Data Science, Analytics, Finance, and Enterprise teams to prioritize and deliver high-impact data initiatives. * Establish clear career paths, performance standards ...

Showing results 41-60

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:

Software Engineer II - Data Platform

Pantheon Systems, Inc

OR • On-site

$114K - $137K/yr

Full-time

Medical, Dental, Vision

Re-posted 10 days ago


Job description

About Pantheon

Pantheon WebOps Platform powers the open web, running more than 300,000 sites in the cloud for customers including Google, Princeton, Salesloft and Doctors Without Borders. Every day, thousands of developers and marketers create, iterate, and scale WordPress and Drupal sites to reach billions of people globally. Pantheon's multitenant, container-based platform enables organizations to manage all of their websites from a single dashboard. Organizations including Clorox and the United Nations drive results through accelerated development and real-time publishing using Pantheon's collaborative workflows. 

The Role

The Data Platform team powers Pantheon's data infrastructure and delivers analytics across the company. We are dedicated to providing reliable, scalable, and high-performance data solutions that drive business intelligence and operational excellence across the entire company. We are currently seeking a highly motivated and experienced Software Engineer II to join our dynamic team and play a pivotal role in shaping the future of data at Pantheon.

What You Will Do

  • Build scalable, reliable data systems while maintaining SLOs for business-critical pipelines.
  • Partner with other internal teams such as Product, Sales Ops, and Finance to deliver high-impact data solutions.
  • Support self-service tooling and a data-driven culture across Pantheon's teams.
  • Contribute to the technical strategy and operations of Pantheon's data platform.
  • Stay up-to-date with industry trends and technologies in data engineering, analytics, and modern data platforms.
  • Continuously improve our standard of engineering excellence by implementing best practices for data architecture, testing, pipeline reliability, and documentation.

What you Need to Succeed 

  • Customer/Product Focus: An understanding of the direct or indirect business value of their work, ensuring that data solutions align with company-wide goals and provide maximum impact for internal and external customers.
  • Understanding of Distributed Data Systems: Familiarity with the concepts and challenges of processing large-scale datasets across distributed systems and a clear grasp of trade-offs when designing solutions for high throughput and low latency.
  • Strong Written and Verbal Communication Skills: The ability to clearly articulate technical designs, project status, and potential risks to both technical peers and non-technical stakeholders (Product, Sales, Finance, etc.).
  • Quality Mindset: Understanding of how to integrate automated test coverage and validation into a deployment pipeline.

What you Bring to the Table

  • Demonstrated Experience: 3-5+ years of experience building production services and features, ideally with a mix of Data Engineering expertise.
  • Coding Proficiency: Ability to build maintainable components in Python and/or Go.
  • Database Knowledge: Comfortable using SQL with relational databases (e.g. MySQL, Postgres) and data warehouses (e.g. Snowflake, BigQuery).
  • Cloud & Infrastructure: Experience working with containerization (e.g., Docker, OCI), Terraform, and Kubernetes (K8s).
  • Data Experience: Familiarity with modern data stacks (e.g. Snowflake, dbt, Airflow, Looker)
  • Experience building data pipelines for AI and Machine Learning is a big plus! 

What We Offer

We have all the usual perks and benefits but what we can really offer you is a fantastic work environment powered by an amazing team.

  • Industry competitive compensation and equity plan
  • Flexible time off, sick days, and 13 paid holidays
  • Comprehensive medical insurance including Health, Dental and Vision
  • Paid parental leave (plus fertility, adoption and other family planning benefits)
  • In-office workspace (San Francisco & Chicago)
  • Monthly allowance for wellness, reading and access to LinkedIn Learning for continued development
  • Events and activities both team-based and company wide that inspire, educate and cultivate

Pantheon is an equal opportunity employer and we welcome applications from all backgrounds regardless of race, color, religion, sex, national origin, ancestry, age, marital status, sexual orientation, gender identity, veteran status, disability, or any other classification protected by law. Pantheon complies with federal and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you need a reasonable accommodation due to a disability for any part of the interview process, please contact talent@pantheon.io. Pursuant to local and federal regulations, Pantheon will consider qualified applicants with arrest and conviction records for employment.

After an offer is made and accepted, E-verify will be utilized to establish your identity and employment eligibility as required by the U.S. Department of Homeland Security.

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Visa Sponsorship is not available at this time.

The US base salary range for this position in the United States is $116,640 - 162,000 USD per year. Our salary ranges are determined by role, level, and location. At Pantheon, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.