ZipRecruiter

Log In

2

Financial Data Engineer Remote Jobs in Portland, OR

Honor

Staff Data Scientist

Portland, OR · Remote

Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

US Bank

End Point Systems Engineer

Gresham, OR · Remote

Helping the customers and businesses we serve to make better and smarter financial decisions and ... Ensure platform stability, performance, data accuracy, privacy, and security configurations

US Bank

End Point Systems Engineer

Gresham, OR · Remote

Helping the customers and businesses we serve to make better and smarter financial decisions and ... Ensure platform stability, performance, data accuracy, privacy, and security configurations

WSP

Project Manager (Data Centers)

Portland, OR · On-site +1

$55 - $74.25/hr

This Opportunity WSP is currently initiating a search for a Project Manager (Data Centers) to join ... engineering teams. * Experience with project management tools (MS Project, Primavera P6), financial ...

ABB

Strategic Segment Proposal Engineer

Portland, OR · Remote

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

Actalent

Systems Engineer

Happy Valley, OR · On-site +1

$65 - $85/hr

Create and manage Supplier Data Requirements Lists to clearly define and control supplier ... primarily remote. Individuals must be a very strong fit for the qualifications and have ...

Leidos

Substation Senior Structural Engineer

Portland, OR · On-site +1

$73K - $132K/yr

Building our work for publicly- and privately-owned utilities, financial institutions and local ... If remote, ideally candidate would reside in either Pacific or Mountain Time Zones. If you're ...

Actalent

Systems Engineer

Happy Valley, OR · On-site +1

$65 - $85/hr

Create and manage Supplier Data Requirements Lists to clearly define and control supplier ... primarily remote. Individuals must be a very strong fit for the qualifications and have ...

previous pagenext page

Showing results 21-40

All JobsFinancial Data Engineer JobsFinancial Data Engineer Remote JobsFinancial Data Engineer Remote Jobs in Portland, OR

Financial Data Engineer Remote information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

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

As of Aug 20, 2026, the average yearly pay for financial data engineer remote in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

What does a financial data engineer do in a remote role?

A Financial Data Engineer designs, builds, and maintains systems that process and analyze large sets of financial data. Working remotely, they collaborate with teams to develop data pipelines, integrate financial databases, and ensure the reliability of data used for financial analysis and reporting. They often use programming languages like Python or SQL, and work with big data tools to support data-driven decision-making for financial institutions or fintech companies. Their work is crucial to transforming raw financial data into actionable insights.

What are the key skills and qualifications needed to thrive as a financial data engineer in a remote role?

To thrive as a Financial Data Engineer (Remote), you need strong programming skills (such as Python or SQL), experience with data modeling, and a background in finance or quantitative analysis, often supported by a relevant degree. Proficiency with big data platforms (like Hadoop or Spark), ETL tools, and cloud data services (such as AWS or Azure) is typically required, alongside certifications in data engineering or finance. Excellent problem-solving, communication, and time management skills help you collaborate effectively and independently in a distributed environment. These capabilities are crucial for building reliable financial data pipelines, ensuring data quality, and supporting timely, data-driven business decisions.

What are the typical challenges faced by remote financial data engineers when collaborating with cross-functional teams?

Remote Financial Data Engineers often work closely with data analysts, software developers, and business stakeholders across different time zones. One common challenge is ensuring effective communication and alignment on project requirements, especially when dealing with complex financial data pipelines and evolving business needs. Utilizing collaborative tools, maintaining clear documentation, and participating in regular virtual meetings can help bridge gaps and foster productive teamwork. Staying proactive about updates and being responsive to feedback are key to ensuring smooth collaboration in a remote environment.

What are the most commonly searched types of Financial Data Engineer jobs in Portland, OR?

The most popular types of Financial Data Engineer jobs in Portland, OR are:

What are popular job titles related to Financial Data Engineer Remote jobs in Portland, OR?

For Financial Data Engineer Remote jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Financial Data Engineer Remote jobs in Portland, OR look for?

The top searched job categories for Financial Data Engineer Remote jobs in Portland, OR are:

Financial Data Engineer Remote jobs near you
Infographic showing various Financial Data Engineer Remote job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Staff Data Scientist

Honor

Portland, OR • Remote

Full-time

Re-posted 21 days ago

Job description

Honor Technology's mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor's growing portfolio includes its consumer care brand, Home Instead, Inc., the world's leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually.

Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms.

Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.

About the role:

We're looking for Data Scientists to join our team. In this role, you will serve as a versatile generalist data scientist who can help guide our company's adoption of agentic AI development.

As we rapidly integrate new technologies into our platform, practical applied experience in the AI space is a baseline requirement for our team. Building on that foundation, we are looking for a candidate who brings expertise in either Agentic AI OR Optimization Algorithms.

About the work:

  • Leverage data to solve a wide variety of meaningful, business problems using the appropriate level of technical complexity.
  • Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and execute against it.
  • Design and implement robust frameworks and metrics to measure whether data products are functioning as expected and driving business impact.
  • Research operational/logistical problems and proactively identify potential solutions.
  • Lead the design, implementation, and evaluation of descriptive and predictive models.
  • Champion the use of LLM-driven workflows across the company. Partner with Engineering to design architectures and build production-ready systems that leverage agents in our core product features as well as in tools that drive developer productivity.

About you:

  • 7+ years of professional experience solving complex business problems, and shipping/maintaining Python in a production environment.
  • You possess a strong foundation in traditional predictive machine learning (e.g., classification, regression, tree-based models like XGBoost) and know when to use standard models versus LLMs.
  • Deep professional expertise in at least one of the following two areas:
    • Optimization: Formulating and solving complex logistical/allocation problems (e.g., linear/integer programming) in a business setting.
    • Agentic AI: Deep technical depth in building, orchestrating, and establishing best practices for agentic systems (e.g., utilizing LLMs for autonomous decision-making and tool-use). You have concrete experience building agentic workflows that drive business impact.
  • You set success metrics upfront and proactively investigate how your technical solutions influence overarching business goals.
  • Excellent mathematical and statistical foundations, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience.
  • You are able to manage product ambiguity, seeking clarity when necessary, to ensure that we are solving the right problem and driving measurable outcomes.
  • You rapidly iterate and deliver technical solutions that maximize business impact.
  • Clear and persuasive communication skills, both written and verbal, with the ability to translate complex technical concepts for diverse, non-technical stakeholders.

You are accountable end-to-end for the entire project lifecycle. You proactively anticipate and drive resolution for potential issues across dependencies.

Bonus points if you have professional experience with:

  • Experience designing experiments and applying causal inference methods to rigorously determine business impact.
  • Experience developing systems to optimize portfolio allocation in a two-sided marketplace (e.g., ideal matches of people needing and providing care, hiring needs, demand forecasting).
  • Familiarity with modern MLOps practices, cloud platforms (AWS), containerization (Docker), or CI/CD pipelines.
  • Experience working with sensitive data, including PII or PHI, within a strict, HIPAA-compliant environment.

Our range reflects the hiring range for this position. We use national average to determine pay as we are a remote first company. Individual pay is based on a number of factors including qualifications, skills, experience, education, and training.


Base pay is just a part of our total rewards program. Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match.
We provide medical, dental and vision coverage including zero cost plans for employees. Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option. We offer a generous time off program, mental health benefits, wellness program, and discount program.

Hiring Salary Range
$194,400—$216,000 USD

At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role.

Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.