1

Data Engineer Jobs in Dallas, OR (NOW HIRING)

Be Seen First

The wafer fab process engineer will collaborate with product R&D teams to make decisions on process quality based on data and statistical analysis. Duties and Responsibilities * Develop fundamental ...

Performs duties such as collecting field data, preparing/organizing permit packages for submittal ... Must be capable of engineering routine and specific COE/OSP work orders, including more complex ...

Performs duties such as collecting field data, preparing/organizing permit packages for submittal ... Must be capable of engineering routine and specific COE/OSP work orders, including more complex ...

Partner with data, security, legal, and compliance teams to define responsible AI standards ... Mentor senior engineers, data scientists, and product teams on applied AI design patterns and best ...

Partner with data, security, legal, and compliance teams to define responsible AI standards ... Mentor senior engineers, data scientists, and product teams on applied AI design patterns and best ...

Data Analyst Location : Salem Oregon duration : 6+months : * Analyze ODOT Asset Management systems and databases and document the current state this would include SQL, Oracle, Access, GIS, etc.

Engineer II

Mcminnville, OR · On-site

$74K - $96K/yr

... data structures and database programming Ability to work effectively with CAD/CAM systems or other computer aided manufacturing systems, in addition to standard business application software and/ or ...

PhD in Chemical Engineering, Materials Science, Physics, Electrical Engineering, or a semiconductor ... Proficiency in statistical data analysis and design of experiments (DOE) using tools such as JMP ...

Design Engineer

Salem, OR · On-site

$20 - $25/hr

We serve mission‑critical data and power applications in the Defense, Aerospace & Avionics, Space ... The position of Design Engineer I will support the planning, development, testing, and ...

New

next page

Showing results 1-20

Data Engineer information

See Dallas, OR salary details

$44.6K

$129.9K

$177.8K

How much do data engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data engineer in Dallas, OR is $129,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,700.00 and $137,700.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
What are the most commonly searched types of Data Engineer jobs in Dallas, OR? The most popular types of Data Engineer jobs in Dallas, OR are:
What are popular job titles related to Data Engineer jobs in Dallas, OR? For Data Engineer jobs in Dallas, OR, the most frequently searched job titles are:
What cities near Dallas, OR are hiring for Data Engineer jobs? Cities near Dallas, OR with the most Data Engineer job openings:
Value Based Payment Data Analyst II

Value Based Payment Data Analyst II

PacificSource

Salem, OR • On-site

Full-time

Posted 9 days ago


PacificSource rating

6.3

Company rating: 6.3 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

239th of 261 rated insurance


Job description

Looking for a way to make an impact and help people?

Join PacificSource and help our members access quality, affordable care!

PacificSource is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status, such as race, religion, color, sex, sexual orientation, gender identity, national origin, genetic information or age. PacificSource values the diversity of our community, including those we hire and serve. We are committed to creating and fostering a work environment in which individual differences and diversity are appreciated, respected and responded to in ways that fully develop and utilize each person's talents and strengths.

Primary subject of analytic support related to support of reinsurance, large employer RFP, large employer and ASO, state and/or federally mandated reporting and analyses.Analytical role may vary and involve knowledge of value based payments, provider contract language, healthcare utilization, healthcare benefits and state and federal guidelines. The role will also collaborate with level 3 and 4 analysts and analytics management in coordination of projects with multiple departments in supporting contractually required reporting in a timely, accurate and easy to understand format for external provider audiences. Additional tasks may include assisting with components of validating data used in the VBP settlement and payment processes; initiating documentation and processes; provides financial guidance and support; supports cost savings and process improvement efforts; provides financial governance and oversight.

Essential Responsibilities:

  • Provides essential data support and coordination activities for various business critical analysis and reporting needs.
  • Perform accurate and complete data extraction from data warehouse as well as nonstandard data sources to meet project requirements as directed. This would include cleaning, transformation and pre-processing data using software programs such as t-SQL, SAS, etc.
  • Support the development of data visualization solutions that allow customer to interact with the data using data visualization software solutions such as Tableau or Microsoft Power BI.
  • Develop reports and analytical solutions and processes to support the RFP process, large employer, ASO as well as various state and federal requests.
  • Calculate and analyze value based payment terms including development of reports, running of monthly report processes as well as reporting to support financial reconciliation processes.
  • Support presentation of complex data, analysis and findings to teams in a way that is clear and understandable.
  • Develop and maintain documentation and training materials including job aids.
  • Assist in evaluating impact of business changes on risk reports specifications such as plan, benefit, network, provider configuration and payment and other operational changes.
  • Prepare ad hoc analysis related to cost and utilization opportunities related to RFP, employer groups, ASO groups and other Sales/Marketing requests.
  • Assists with quality assurance adherence to ensure accuracy, completeness, and reliability of project-related information data resources and reporting initiatives such as participating in data validation projects and providing feedback on development of unit testing, error checks and validation processes.
  • Develop general health insurance business content knowledge as well as specific knowledge related to assigned business areas of analytics support.

Supporting Responsibilities:

  • Meet department and company performance and attendance expectations.
  • Follow the PacificSource privacy policy and HIPAA laws and regulations concerning confidentiality and security of protected health information.
  • Perform other duties as assigned.

SUCCESS PROFILE

Work Experience: Three years' experience in health insurance or related field. Healthcare analytics experience is preferred.

Education, Certificates, Licenses: Bachelor's degree in Mathematics, Computer Science, Statistics, Engineering, Health and Medical Economics, Public Health or similar research related field.

Knowledge: General knowledge of business principles, theories and concepts. Proven ability to manage multiple projects and competing deadlines. Ability to manage workload within a team environment or with minimal direct supervision. Ability to conceptualize solutions to complex problems; readily anticipates problems and identifies solutions. Ability to deal responsibly with confidential information. Ability to develop, document and adhere to department policies and procedures. General knowledge of in at least one statistical/analytical programming tools such as R, SAS, SPSS. General knowledge of other technical applications such as Tableau, Power BI and web-based database tools. Skilled in Microsoft Office: Word, Excel, PowerPoint and Outlook.

Preferred Knowledge: Familiarity with Medicare Five-Star, Oregon Quality Incentive Measures and/or NCQA HEDIS, Health Care Payment Learning & Action Network (LAN) and Alternative Payment Model framework, and Facets claims processing system. Working knowledge of medical costs is desired, while experience with medical coding and terminology. Master's degree or above in Mathematics, Computer Science, Statistics, Engineering, Health and Medical Economics, Public Health or similar research related field preferred.

Competencies:

Building Customer Loyalty

Building Strategic Work Relationships

Contributing to Team Success

Planning and Organizing

Continuous Improvement

Adaptability

Building Trust

Work Standards

Environment: Work inside in a general office setting with ergonomically configured equipment. Travel is required approximately less than 5% of the time.

Skills:

Accountability, Collaboration, Communication (written/verbal), Flexibility, Listening (active), Organizational skills/Planning and Organization, Problem Solving, Teamwork

Compensation Disclaimer

The wage range provided reflects the full range for this position. The maximum amount listed represents the highest possible salary for the role and should not be interpreted as a typical starting wage. Actual compensation will be determined based on factors such as qualifications, experience, education, and internal equity. Please note that the stated range is for informational purposes only and does not constitute a guarantee of any specific salary within that range.

Base Range:

$64,871.24 - $110,281.11Our Values

We live and breathe our values. In fact, our culture is driven by these seven core values which guide us in how we do business:

  • We are committed to doing the right thing.

  • We are one team working toward a common goal.

  • We are each responsible for customer service.

  • We practice open communication at all levels of the company to foster individual, team and company growth.

  • We actively participate in efforts to improve our many communities-internally and externally.

  • We actively work to advance social justice, equity, diversity and inclusion in our workplace, the healthcare system and community.

  • We encourage creativity, innovation, and the pursuit of excellence.

Physical Requirements:Stoop and bend. Sit and/or stand for extended periods of time while performing core job functions.Repetitive motions to include typing, sorting and filing. Light lifting and carrying of files and business materials. Ability to read and comprehend both written and spoken English. Communicate clearly and effectively.

Disclaimer:This job description indicates the general nature and level of work performed by employees within this position and is subject to change. It is not designed to contain or be interpreted as a comprehensive list of all duties, responsibilities, and qualifications required of employees assigned to this position. Employment remains AT-WILL at all times.


What PacificSource employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom