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

Aquent

Lead Data Engineer

Beaverton, OR · On-site

$59.40 - $66/hr

Aug 10, 2026 Data Engineer IV (Senior / Lead Level) Location: Portland, OR (Hybrid - 4 days onsite, 1 remote) Type: Contract (with potential extension) Start: ASAP (urgent need) About the Role We're ...

WIZELINE

Senior Data Architect

Beaverton, OR

$70 - $93.75/hr

Senior Data Architect The Company Wizeline is a global digital services company helping mid-size to ... Work with engineering squads to create physical data designs and business rule implementation

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

... Senior Data Scientist (SDS) Data Science Council of America (DASCA) Principle Data Scientist (PDS) Dell EMC Data Science Track Google Certified Professional Data Engineer Google Advanced Data ...

Azad, Inc

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

... Senior Data Scientist (SDS) Data Science Council of America (DASCA) Principle Data Scientist (PDS) Dell EMC Data Science Track Google Certified Professional Data Engineer Google Advanced Data ...

Moda Health

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Demonstrated analytical skills and ability to contribute to data driven solutions that address real business problems, with guidance from senior engineers when needed. * Working knowledge of Agile ...

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Showing results 21-40

All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Portland, OR

Senior Data Engineer information

See Portland, OR salary details

$85.9K

$134K

$185.6K

How much do senior data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for senior data engineer in Portland, OR is $133,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $152,700.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Portland, OR? The most popular types of Data Engineer jobs in Portland, OR are:
What are popular job titles related to Senior Data Engineer jobs in Portland, OR? For Senior Data Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Portland, OR look for? The top searched job categories for Senior Data Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Senior Data Engineer jobs? Cities near Portland, OR with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,990 per year, or $64.4 per hour.

Senior Data Scientist - Forecasting

Tiger Analytics Inc.

Portland, OR • On-site

$140 - $170/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a Senior Data Scientist – Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.

You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.

Key Responsibilities
  • Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
  • Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
  • Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
  • Perform large-scale data extraction, transformation, and analysis using SQL
  • Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.
  • Translate business problems into analytical solutions.
  • Present model insights and recommendations to senior client stakeholders.
  • Lead workshops and forecasting strategy discussions with clients.
  • Implement and operationalize models in cloud environments
  • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions
Qualifications
  • 10+ years of experience in applied data science or advanced analytics
  • 5+ years of hands‑on experience in demand planning, demand forecasting, or sales forecasting
  • Strong domain experience in CPG, FMCG, retail, or similar industries
  • Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
  • Strong SQL skills for large-scale data processing
  • Proven experience deploying models in cloud environments (Azure preferred)

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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