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Quantitative Data Engineer Jobs in Portland, OR (NOW HIRING)

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

Hillsboro, OR ยท On-site +1

$121K - $167K/yr

Design end-to-end ML pipelines including Data ingestion, feature engineering, model training ... Master of Science degree in Data Science, Statistics, Computer Science, or similar quantitative ...

Web design and Multimedia programmer * Quantitative research * Unstructured data analysis * Natural language processing * Equipment utilization analysis * Supply/Demand analysis * Inventory level ...

Strong Programming skills in Python and/or R (Python preferred) * Predictive modeling experience ... Strong quantitative skills and communication skills - verbal and written What's In It For You:

Strong Programming skills in Python and/or R (Python preferred) * Predictive modeling experience ... Strong quantitative skills and communication skills - verbal and written What's In It For You:

Strong Programming skills in Python and/or R (Python preferred) * Predictive modeling experience ... Strong quantitative skills and communication skills - verbal and written What's In It For You:

Strong Programming skills in Python and/or R (Python preferred) * Predictive modeling experience ... Strong quantitative skills and communication skills - verbal and written What's In It For You:

Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and ... Excellent mathematical and statistical foundations, including a degree in a quantitative field ...

Databento is the market data platform for modern finance. The company provides real-time and ... quantitative firms. We offer health, dental, disability, and life insurance benefits, as well as ...

Senior Hydrogeologist

Portland, OR ยท On-site

$120K - $150K/yr

Responsibilities include project management, preparation of technical reports, quantitative data ... Professional licensure as a Hydrogeologist, Geologist, and/or Engineer is required, ideally in ...

Showing results 21-40

Quantitative Data Engineer information

See Portland, OR salary details

$11.7K

$137.5K

$210K

How much do quantitative data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for quantitative data engineer in Portland, OR is $137,512.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $146,900.00 per year, depending on experience, location, and employer.

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

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

What is a quantitative data engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

What is the difference between Quantitative Data Engineer vs Data Scientist?

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

How does a quantitative data engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.
What are popular job titles related to Quantitative Data Engineer jobs in Portland, OR? For Quantitative Data Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Portland, OR look for? The top searched job categories for Quantitative Data Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Quantitative Data Engineer jobs? Cities near Portland, OR with the most Quantitative Data Engineer job openings:
Infographic showing various Quantitative Data Engineer job openings in Portland, OR as of June 2026, with employment types broken down into 2% As Needed, 83% Full Time, 10% Part Time, and 5% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $137,512 per year, or $66.1 per hour.

Civic Data Analyst (Sustainable Mobility)

Trilon Group

Portland, OR โ€ข On-site

$65K - $80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

Civic Data Analyst (Sustainable Mobility)
Department: Planning
Employment Type: Full Time
Location: Portland, OR
Compensation: $65,000 - $80,000 / year
Description
Alta Planning + Design seeks a Civic Data Analyst (Sustainable Mobility) for our Portland office. This position is a great opportunity for someone who believes in the importance of active, multimodal, and sustainable transportation and who is interested in growing their career as a professional working at the intersection of civic data and sustainability. If you are looking to join an innovative organization and do work that connects people to places while advancing social justice, safety, and environmental resilience, apply with Alta today!
About Alta
Alta is a mission-driven company working to mitigate climate change and advance safety and social justice by shaping sustainable, people-centered communities. We bring together expertise across planning, design, engineering, education and encouragement programs, and community engagement to help communities thrive. Our work is grounded in the belief that how places are designed and experienced has a profound impact on equity, health, and opportunity-and that people should always be at the heart of those decisions.
Founded in 1996, Alta was at the forefront of the active transportation movement and has spent nearly 30 years partnering with communities to imagine a more connected, resilient, and inclusive future. Today, with more than 225 staff across the United States and beyond, we are a global leader in creating environments that support everyday life, strengthen human connection, and respond to the challenges of a changing world. Alta offers the opportunity to collaborate across disciplines, contribute to meaningful work at every scale, and be part of a team committed to making lasting, positive change for people and the places they call home.
Day to Day
Serve as a technical expert and analyst across various disciplines, project types, and regions. Develop prototypes of repeatable analysis in R, Python, and GIS to advance place-based sustainable transportation solutions. Over time, foster an entrepreneurial approach to analysis through staff training, research, tool development, and custom web applications.
Engage across Alta's disciplines to understand data analytics needs, priorities, and expectations, fostering a data-informed decision-making culture. Lead the development of new analytical products that align with the firm's objectives and the multidisciplinary nature of the practice. Collaborate closely with planners, designers, and engineers in tasks related to data analysis and visualization, ensuring the developed solutions bring valuable mobility insights and can scale organization wide.
Delve into data analysis and visualization components of client projects and R&D efforts, employing complex methodologies. Address mobility and access challenges through innovative analytical solutions, and articulate data-driven narratives effectively through reports, technical memos, and presentations. Be proactive in identifying labor-intensive processes and analysis, exploring avenues to streamline and automate them to create organization-wide value Work on a range of projects including active transportation plans, safety action plans, complete streets planning, safe routes to school, new mobility plans, and economic benefit studies. Each day, you will keep a community-focused perspective by pushing forward solutions that help communities inform narratives about people, address multifaceted community goals, prepare communities for change, and build a more just transportation system.
Qualifications
Required
This position requires a combination of skills, experience and education including, but not limited to
  • Bachelor's Degree in Statistics, Mathematics, Computer Science or another quantitative field with demonstrated experience in the transportation planning field, OR a Bachelor's Degree in Planning, Landscape Architecture, Environmental Sciences, or Engineering with some experience in the software development and/or data science fields.
  • Proficiency in Python and/or R, SQL
  • Proficiency in Quantitative Analysis: A solid background in data analysis, cross tabulation, and data interpretation is essential. Candidates should be able to apply data driven techniques to inform evidence-based decision-making in planning and design contexts.
  • Strong understanding of databases, GIS, coding, and familiarity with transportation planning at an advanced level.
  • GIS Proficiency - both open-source (PostGIS, QGIS, geopandas, etc.) and the ESRI suite (ArcGISPro, Spatial Analyst, Network Analyst, etc.).
  • Ability to create informative data visualizations through code (e.g. D3, ggplot, matplotlib, plotly, kepler.gl, etc.).
  • Experience designing, implementing, and documenting analytical solutions using code. Ability to execute an analysis entirely with code.
  • Data specifications & database acronyms like OSM, MDS, GTFS, GBFS, GPS, CDS don't scare you.
  • Proficient in MS Excel, Word, PowerPoint, similar products.
  • Strong written and verbal communication skills.

There are a number of additional skills, experience, and education that would be beneficial to this position including, but not limited to:
  • Master's Degree in Urban Planning, Statistics, Data Science, Engineering, Math, or Social Sciences
  • 1+ years of experience in a consulting environment or public entity. You have experience working on responses to public sector requests for proposals.
  • AICP Certification.
  • Experience using Deltek VantagePoint.
  • Active participation in industry-relevant professional associations and committees.
  • Demonstrated work of applied statistics or machine learning techniques to transportation challenges.
  • Basic familiarity with deploying analytical solutions over the web with the use of Flask, Django, Fast-API, Tableau, PowerBI, ArcGIS Enterprise, or R-Shiny.

What We Offer
Flexible Schedule
Alta offers a flexible, hybrid work schedule where most employees work from home three days per week. In-office days support our collaborative culture, one of our core values.
Compensation
The pay range for this job in Portland is $65,000-$80,000 annually. Placement within the range is based upon experience, skill-sets, and qualifications.
Benefits
Alta offers comprehensive benefits to all full-time employees:
  • Medical: PPO or HSA medical plans, Alta pays 75% of the cost
  • Dental/Vision: PPO, Alta pays 90% of the cost
  • Life Insurance: Alta pays 100% of the premium for life and AD&D, equal to your base compensation
  • 401(k): Alta provides a match up to 3%
  • PTO: 21 days accrued annually to start
  • Holidays: 11 total company paid holidays
  • Paid Parental Leave/Short-Term Disability
  • Additional Benefits: Wellness reimbursement up to $800 annually, Alta Gets Around benefit of up to $900 annually, 5-year travel award, and professional development opportunities

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