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Financial Data Engineer Remote Jobs in Portland, OR

Chord Strategy

Full-stack Data Engineer (Remote)

Vancouver, WA · Remote

$119K - $144K/yr

As a Data Engineer, you will help design, improve and maintain our ETL processes. Without which we could not perform our investigations. You'll help find reliable and efficient ways to extract data ...

Rapta, Inc

Senior Software Engineer (Remote)

Portland, OR · Remote

$140K - $175K/yr

Senior Software Engineer Full-Time Position | Portland, Oregon About Us Rapta is revolutionizing ... Build scalable data processing pipelines and high-throughput service infrastructure * Design and ...

Later

Senior Security Engineer

Vancouver, WA · Remote

$119K - $164K/yr

Senior Security Engineer Remote, United States About this position: We\'re looking for a Senior ... Partner with Engineering, Infrastructure, IT, Product, Legal, People, Finance, and business leaders ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Collaborate with domain experts (engineering, operations) to translate failure patterns into ML ...

Standard, The

AI Software Engineer IV

Portland, OR · Remote

$103K - $141K/yr

... LI-Remote Why Join The Standard? We have built an enduring legacy of stability, financial strength ... data. Salary Range: $131,750.00 - $223,500.00 Positions will be posted for at least 5 days from ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Portland, OR · Remote

$35 - $50/hr

Contribute cross-functional tasks such as financial modeling, executive presentations, strategic ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

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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 Jul 29, 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 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 engineer makes $500,000 a year?

Senior financial data engineers or those in executive or specialized roles with extensive experience and advanced skills in data architecture, cloud platforms, and programming can earn $500,000 or more annually. Such high salaries are typically found in large organizations, financial firms, or tech companies with competitive compensation packages and performance bonuses.

What engineers make $300,000 a year?

Senior financial data engineers or data architects with extensive experience, advanced skills in data modeling, programming, and cloud platforms can earn $300,000 or more annually. High compensation often involves working in large organizations, with specialized expertise, and sometimes includes bonuses or stock options.

Can I work remotely as a data engineer?

Yes, many data engineering roles, including those for financial data engineers, are available as remote positions. These jobs typically require strong skills in programming, data pipelines, and cloud platforms, and often involve collaboration through online tools. Remote work arrangements depend on the employer's policies and the specific role requirements.

Can I make 200K as a data engineer?

Financial Data Engineers with extensive experience, advanced skills in SQL, Python, and cloud platforms, and working in high-demand industries can potentially earn salaries of $200,000 or more, especially in senior or specialized roles. Compensation varies based on location, company size, and individual expertise, with some remote positions offering competitive pay at this level.

What are the key skills and qualifications needed to thrive as a Financial Data Engineer in a remote role, and why are they important?

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 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 July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Full-stack Data Engineer (Remote)

Chord Strategy

Vancouver, WA • Remote

$119K - $144K/yr

Full-time

Medical, PTO

Posted 2 days ago

Job description

The Battle of Giants exists to answer a simple but important question: Will a company’s strategy lead to growth?


Why? We do this to help investors and corporate execs assess a company’s growth potential and ability to innovate. Critical to survival in this disruptive age. Our ultimate goal is to help organizations design effective strategies collaboratively. Strategies their teams take part in building and naturally rally behind. But we can’t do that without first diagnosing how well a strategy will perform - step 1. Does our mission align with yours?


What’s your role? As a Data Engineer, you will help design, improve and maintain our ETL processes. Without which we could not perform our investigations. You’ll help find reliable and efficient ways to extract data on what companies are investing in from both public and private sources. More specifically, you’ll help us solve these problems:


  • How can we reliably and efficiently scrape and pull data from hundreds of websites and APIs?

  • Are there better datasets available to assess what a company’s investing in?

  • How can we improve data features used by our machine learning algorithm?

  • What structure and format should we load the data for analysis?

  • What reports and visual best communicate the insight?

  • Is our data accurate and timely?

Toolkit? We don’t believe in hiring based on tools you have experienced with. We’re much more interested in people who can find the root cause of a problem, and research/learn the best tool to help solve that problem. Does that sound like you? Tools we currently use include Python/NLTK, SQL, Tableau, but we are more than willing to drop them if you identify more effective toolkits.


What should you expect? This job is NOT for those who struggle with ambiguity, need constant guidance, and say yes without asking why. We seek a leader, not a follower. Someone not afraid to speak up and stand up for the right ideas. That’s because you will work directly with the leadership team and help shape the long-term outlook for The Battle of Giants. Do you enjoy getting outside your comfort zone? Do you naturally question assumptions, investigate root cause of problems, and think outside the box?


What benefits are offered? We strongly believe in smelling the roses along the journey. It’s going to be a long and challenging journey. We thus offer supplemental health coverage, 4 weeks paid time off, unlimited sick days, and the opportunity to design your own workstation/computer setup. We also encourage you to take Friday to work on something different and think outside the box: Volunteer, create art, build something useful for the community. Just don’t do what you do Monday to Thursday.


What happens after you apply? We will shortlist candidates we believe will be most successful in this role, and send along a quick exercise as the next step. This helps you get a sense of the day to day work. And it also helps us understand how you think. There will be multiple ways to complete the exercise, so don’t worry about finding an ideal solution. Do what you would normally do, using the tools you’re familiar with. We just want to learn about you!

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