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Senior Data Engineer Jobs in Oregon (NOW HIRING)

Sr. Data Analyst - Finance

OR ยท On-site +1

$120K - $130K/yr

We are looking for a data-driven Senior Data Analyst to join our finance team. You will support and ... You will collaborate with Data Engineering on data pipelines, identifying and solving complex data ...

OR ยท On-site

$150K/yr

... senior engineers, government analysts, and data scientists to implement mission requirements while following security, governance, and access control policiesRequirements:Bachelor 's degree in ...

Senior/Principal Data Engineer

OR ยท On-site +1

$125K - $172K/yr

This is a senior to principal-level individual contributor role who combines deep backend engineering fundamentals with specialized expertise in Electronic Health Record (EHR) data integration. You ...

OR ยท On-site

$114K - $137K/yr

As a senior technical expert, you will collaborate cross-functionally with engineering, analytics, and product teams to design data systems that are secure, efficient, and cost-effective. You will ...

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... engineering processes, and audit compliance. * The contractor shall implement sprint-based Agile ...

Sr. Data Analytics Engineer

OR ยท Remote

$117K - $140K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ... Project Lead, Senior Software Engineer, Software Engineer, etc.). * 2 years of experience ...

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... engineering processes, and audit compliance. * The contractor shall implement sprint-based Agile ...

Senior Data Scientist

OR ยท On-site +1

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... engineering processes, and audit compliance. * The contractor shall implement sprint-based Agile ...

Sr. Data Analytics Engineer

OR ยท On-site +1

$107K - $128K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ... Project Lead, Senior Software Engineer, Software Engineer, etc.). * 2 years of experience ...

Senior Data Scientist

OR ยท On-site +1

$140K - $190K/yr

As a Senior Data Scientist , you will play a pivotal role in advancing Reify Health's data-driven ... This role involves close collaboration with cross-functional teams (especially ML Engineering) to ...

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

Numerator is seeking a Sr. Data Scientist II (Bayesian Modeling) to help build, enhance, and scale ... You'll partner with Product, Data, and Engineering teams to translate customer needs into data ...

Numerator is seeking a Sr. Data Scientist II (Bayesian Modeling) to help build, enhance, and scale ... You'll partner with Product, Data, and Engineering teams to translate customer needs into data ...

Senior Data Scientist

OR ยท Remote

$84K - $112K/yr

The organization is seeking a Senior Data Scientist who is energized by the opportunity to turn ... What We Look For in a Candidate 3-5 years of experience in data science, data engineering ...

Showing results 41-60

Senior Data Engineer information

See Oregon salary details

$85.6K

$133.6K

$185K

How much do senior data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for senior data engineer in Oregon is $133,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $152,200.00 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 Oregon?

The most popular types of Data Engineer jobs in Oregon are:

What are popular job titles related to Senior Data Engineer jobs in Oregon?

For Senior Data Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer jobs in Oregon look for?

The top searched job categories for Senior Data Engineer jobs in Oregon are:

What cities in Oregon are hiring for Senior Data Engineer jobs?

Cities in Oregon with the most Senior Data Engineer job openings:

What are popular job titles related to Senior Data Engineer jobs in OR?

For Senior Data Engineer jobs in OR, the most frequently searched job titles are:

Infographic showing various Senior Data Engineer job openings in Oregon as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $133,565 per year, or $64.2 per hour.

Sr. Data Analyst - Finance

Consensus Cloud Solutions

OR โ€ข On-site, Remote

$120K - $130K/yr

Full-time

Re-posted 7 days ago


Job description

How you will impact the organization...

We are looking for a data-driven Senior Data Analyst to join our finance team. You will support and advocate for the finance teams data needs throughout the organization. You will collaborate with Data Engineering on data pipelines, identifying and solving complex data issues, contributing to the accuracy, completeness, consistency, and timeliness of data.

The value you will deliver...

  • Maintain Data Sets: Design, build, and maintain scalable data models from our data lake that power financial forecasting, budgeting, and ad-hoc analysis.
  • SQL Queries: Develop and optimize SQL queries for data retrieval, transformation, and analysis.
  • Dashboarding & BI: Develop, launch, and maintain automated, executive-ready BI dashboards (Tableau, PowerBI, or Looker).
  • Cross-Functional Collaboration: Partner closely with Sales Operations, Data Engineering, and Product teams to align disparate data sources (e.g., Salesforce, Stripe, Oracle) into a single source of truth for Finance.
  • Data Governance: Ensure the absolute integrity and accuracy of financial data used for board meetings, investor relations, and regulatory reporting.
  • Perform other duties and responsibilities as required, assigned, or requested. Consensus reserves the right to add or change duties at any time.

What you will bring to the table...

  • Experience: 3 to 5 years of experience in data analytics, business intelligence, or financial analytics, ideally within a B2B SaaS environment.
  • SQL Mastery: Advanced SQL skills are non-negotiable. You can write complex, optimized queries, handle window functions, and manage large-scale data manipulation with ease.
  • Automation: Support automation and process improvements to increase efficiency, scalability, and self-service analytics within the organization.
  • Work Independently: Proven solid analytical and problem-solving skills, with the ability to independently investigate issues and deliver insights.
  • Analytics Engineering & BI: Experience with modern data stacks including cloud-based databases. Hands on experience with data warehousing tools (e.g., Snowflake, BigQuery, Redshift). Experience with data visualization and BI tools for creating intuitive dashboards (Tableau strongly preferred). Proven ability to build and manage data pipelines independently, from ingestion to reporting.
  • Communication: Proven excellent communication skills with the ability to explain complex data findings to both technical and non-technical stakeholders.

You will stand out if you also have...

  • Education: Bachelor's degree in Data Analytics, Finance, Economics, Statistics, Information Systems, or a related field, or equivalent practical experience
  • Technical Extras: Proficiency in Python or R for advanced statistical analysis and predictive modeling is a strong plus.

Additional details...ย 

  • Location requirements: Fully remote within the U.S.ย 
  • Open to US-based remote candidates, with a preference for PST/MST/CST time zones. EST candidates will be considered if open to working PST hours.
  • Physical requirements: Must be able to sit for long periods, as well as, handle long periods of screen time.
  • Technology requirements: Reliable, high speed internet
  • Eligible for sponsorship: No
  • This position is contingent upon satisfactory completion of a more extensive background check through the Federal Government as a Public Trust Position. Requirements include (subject to change), but are not limited to, active U.S. Citizenship or green card holder residing in the U.S. for a minimum of 3 consecutive years and working location is in the U.S.

Salaried Roles
The salary range for this role is $120,000-$130,000 annually.ย  The total compensation package for this position is negotiable and may also include annual performance bonus, ESPP, enhanced time off packages and benefits. This job doesn't have an expiration date and will remain open until a qualified candidate is hired.ย