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Data Analytics Engineer Jobs in Oregon (NOW HIRING)

Consensus Cloud Solutions

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

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 ...

Pwc

Data Engineer - Senior Manager

Portland, OR

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

iHerb

OR

$114K - $137K/yr

You will collaborate closely with data scientists, analytics engineers, and cross-functional partners to deliver reliable, high-quality data and operationalized machine-learning solutions.

Pwc

Data Engineer - Manager

Portland, OR

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Emerus

Partner with IT, Data Engineering, Clinical Informatics, and ETL teams to standardize technical ... Analytics * Lead enterprise and market-level analytics, identifying performance trends, variation ...

Empower AI Inc.

Provides business and data visualization dashboards in graphical format to inform Government ... Proven analytical and problem-solving abilities. * Ability to effectively prioritize and execute ...

Empower AI Inc.

Provides business and data visualization dashboards in graphical format to inform Government ... Proven analytical and problem-solving abilities. * Ability to effectively prioritize and execute ...

ICI Services

... Data Scientist to Join our Team in a Remote capacity. At ICI Services, our employee-owners drive ... Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ...

Baylor Scott & White Health

$83K/yr

The Analytics Developer will partner with multiple teams on the identification and creation of key ... Gather and document data requirements from customers. Analyze and translate requirements into ...

Netflix

OR · On-site

$330K - $566K/yr

We build the data products, metrics, and insights that power how Netflix allocates content budgets ... We're looking for a Senior Analytics Engineer to join our team - someone who combines deep ...

New York Life

$175K - $250K/yr

This role sits at the intersection of actuarial modeling, data engineering, and cloud technology, enabling scalable, well-governed solutions that support financial reporting, valuation, and analytics.

Weir Group

Data Analyst

Portland, OR

Define and describe the "what, why, and how" of data and analytics capabilities, creating epics, user stories, and other assets for architects and engineers to implement. Ensure solutions meet ...

Weir

Data Analyst

Portland, OR

Define and describe the "what, why, and how" of data and analytics capabilities, creating epics, user stories, and other assets for architects and engineers to implement. Ensure solutions meet ...

FiscalNote

OR · On-site

You work closely with our SLT and with product, engineering, sales, finance, and customer success ... performance data * Proactively identify analytical gaps and build reporting solutions before ...

Cotiviti

$78K - $120K/yr

Overview The Data Engineer is responsible for architecting, developing, and maintaining scalable ... The role includes performing data gap analysis, developing and maintaining a semantic layer, and ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Oregon

Data Analytics Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do data analytics engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data analytics engineer in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

What are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Oregon? The most popular types of Data Analytics Engineer jobs in Oregon are:
What are popular job titles related to Data Analytics Engineer jobs in Oregon? For Data Analytics Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Oregon look for? The top searched job categories for Data Analytics Engineer jobs in Oregon are:
What cities in Oregon are hiring for Data Analytics Engineer jobs? Cities in Oregon with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Oregon as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $137,147 per year, or $65.9 per hour.
Sr. Data Analyst - Finance

Sr. Data Analyst - Finance

Consensus Cloud Solutions

OR • On-site, Remote

$120K - $130K/yr

Other

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... 

  • Location requirements: Fully remote within the U.S. 
  • 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.  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. 

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