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Data Engineer Jobs in Dallas, OR (NOW HIRING)

Software Engineer

Salem, OR · On-site

$80 - $100/hr

Software Engineer (Information Systems Specialist 6) Hybrid work options If this opportunity aligns ... data, and AI capabilities to improve business outcomes. * (b) An associate's degree in computer ...

September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ... data is trusted, traceable, and ready to act on. With an unbroken path from source to output ...

September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ... data is trusted, traceable, and ready to act on. With an unbroken path from source to output ...

Manufacturing Engineer

Newberg, OR · On-site

$76K - $98K/yr

Manufacturing Engineer  The Manufacturing Engineer - Machining designs, implements, sustains ... Collect and analyze work data to establish and update part fabrication and product assembly routes ...

Senior Flight Test Engineer

Salem, OR · On-site

$125 - $150/hr

Operates flight test tools, conducts real time data analysis, and makes real time modifications to ... Serves as a mentor to less experienced flight test engineers (Flight Test Engineer 1 & 2) Basic ...

Collect and analyze engineering data to support validation. * Prepare and update drawings, schematics, and engineering documentation. * Participate in design reviews and engineering discussions.

Showing results 41-60

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 Sep 9, 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 a data engineer?

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.

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

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:

Infographic showing various Data Engineer job openings in Dallas, OR as of August 2026, with employment types broken down into 85% Full Time, 7% Temporary, and 8% Contract. Highlights an 78% In-person, 7% Hybrid, and 15% Remote job distribution, with an average salary of $129,948 per year, or $62.5 per hour.

PWI Operations Digital & Data Transformation Systems Lead

Corvallis, OR • On-site

Hewlett Packard Enterprise
IT Services • 10K+ employees

$125 - $150/hr

Other

Medical, PTO

Posted 8 days ago


Hewlett Packard Enterprise rating

8.7

Company rating: 8.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

19th of 162 rated electronics manufacturers


Job description

PWI Operations Digital & Data Transformation Systems LeadDescription -Join PWI Operations as an Expert Data Analytics & Digital Transformation Lead , where you will shape the future of operational systems, analytics, automation, and AI enablement across Industrial Print. This lead role is responsible for modernizing business-critical tools, developing scalable data and reporting solutions, driving process automation, and identifying innovative ways to leverage AI to improve operational performance and decision-making. The ideal candidate brings deep expertise in data analytics, Power Platform, business systems, and digital transformation, along with the ability to lead complex cross-functional initiatives, influence stakeholders, and convert business needs into practical, scalable solutions.What You'll DoLead digital transformation and automation initiatives across PWI Operations.Architect and develop Business Unit reporting, dashboards, and data solutions using Power BI, Databricks, and Microsoft technologies.Own production support, lifecycle management, issue resolution, access management, documentation, and enhancement planning for business critical PWI Operations digital tools, dashboards, workflows, and reporting assets.Partner with operations, planning, procurement, logistics, and engineering teams to streamline processes and improve business outcomes.Advance AI readiness and deploy practical AI-enabled solutions that drive efficiency and scalability.Serve as a trusted technical advisor and mentor while leading high-impact projects from concept through implementation.Translate business requirements into technical designs, partner with IT and data platform teams, secure required access and approvals, and guide solutions from concept through launch and support.Establish and maintain governance standards for operational data, reporting assets, KPI definitions, security, documentation, and solution lifecycle management.ResponsibilitiesLead support and modernization of business-critical PWI Operations systemsSupport, maintain, and improve operational tools used across PWI Operations, including SharePoint-based tools, PowerApps, Power Automate workflows, and related business process platforms.Ensure continuity of business-critical systems that support PWI functional areas, hardware planning, procurement, logistics, change management, product data management, spare parts management, install planning, and upgrade planning.Lead issue triage, escalation, recovery planning, and stakeholder communication during system disruptions or business continuity events.Maintain and evolve system documentation, data dictionaries, access instructions, governance practices, and support processes for productionized tools and reports.Lead digital transformation and process automation initiativesIdentify, design, and implement automation opportunities that streamline PWI Operations processes, reduce manual work, and improve execution speed and quality.Evaluate alternatives to SharePoint and recommend scalable, secure, and integrated platform solutions aligned with PWI Operations’ long-term digital roadmap.Partner with business stakeholders to map current-state and future-state processes, define requirements, identify pain points, and recommend digital enablement solutions.Lead data ecosystem, analytics, and reporting capabilitiesLead development of scalable data models, Power BI dashboards, and operational reporting capabilities that support executive reviews, functional metrics, and management decision-making.Integrate trusted data sources into analytics solutions, including Databricks, FDL, PO, inventory, master data, TRAX, Hawkeye, revenue, sales order, SNOW, and other operational datasets where approved and available.Establish and maintain standard KPI definitions, data models, refresh processes, supporting reports, and analytics review mechanisms that drive operational performance improvement.Lead data validation, data quality checks, metric logic review, regression testing, and stakeholder sign-off for production dashboards and operational reports.Design scalable data pipelines, reusable semantic models, automated refresh patterns, and governed data structures that support multiple dashboards, planning tools, and operational analytics products.Own and mature the PWI Operations dashboard and reporting portfolioLead ongoing delivery and support of PWI Operations reporting assets, including executive dashboards, supporting reports, and functional analytics.Manage and mature reporting areas such as TLC and cost savings, consumables supply chain costs, inventory costs, recognition trends, NPI, AOS, hardware forecast accuracy, hardware and consumables availability, hardware logistics costs, Opex, change management, DDT/SSR trends, AI adoption, supplier OTD, logistics OTD, supplier spend, and PDM metrics.Design dashboards and data products that balance executive-level visibility with drill-through capability for functional owners.Partner with stakeholders to prioritize dashboard enhancements, clarify metric ownership, define data source readiness, and distinguish MVP delivery from longer-term transformation phases.Lead planning tool and operational enablement projectsLead or support development of planning tools for hardware, consumables, allocation, forecast accuracy, availability, and other operational decision-support needs.Translate operational planning needs into data structures, model logic, dashboards, automation workflows, and repeatable reporting processes.Partner cross-functionally with supply chain, procurement, logistics, planning, engineering, and business operations stakeholders to validate requirements and ensure adoption.Document repeatable processes and provide training or enablement materials to ensure business users can sustain solutions after implementation.Lead AI, automation, and data-readiness enablement for PWI OperationsIdentify practical AI and automation use cases that improve daily operational efficiency, accuracy, quality, and resource leverage.Advance AI-ready data practices by helping standardize, clean, label, structure, govern, and normalize operational datasets.Explore and pilot AI-enabled workflows, Copilot Studio/agent use cases, LLM-enabled automation, and AI-assisted process improvement where appropriate.Partner with operations stakeholders and AI champions to scale practical AI adoption, build knowledge-sharing mechanisms, and convert pilots into measurable business value.Provide technical and project leadershipLead engagement with the PWI business and operational community to identify opportunities, clarify requirements, prioritize work, and convert business needs into scalable technical solutions.Own complex workstreams independently, including planning, requirements gathering, solution design, development coordination, testing, documentation, launch, and post-launch support.Provide technical guidance to junior analysts, contract workers, citizen developers, and business partners in Power BI, data modeling, Power Platform, automation, and data readiness.Support intake, backlog management, prioritization, and governance processes to ensure the team focuses on the highest-value operational work.Education and Experience RequiredFour-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.7-10 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.Preferred CertificationsProgramming Language/s Certification (SQL, Python, or similar)Split this into a nice to have section and a required sectionKnowledge & SkillsAgile MethodologyBusiness IntelligenceDashboardData AnalysisData ManagementData ModelingData QualityData ScienceData VisualizationData PipelinesSupply Chain Analytics/ Supply Chain KnowledgeDAXMicrosoft Power PlatformPower QuerySAP/S4 or experience working with ERP systemsWindchill or Experience with Change Management SystemsSharePoint DevelopmentDatabricks ExperienceMachine LearningPower BIPython (Programming Language)Cross-Org SkillsEffective CommunicationResults OrientationLearning AgilityDigital FluencyCustomer CentricityImpact & ScopeImpacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.ComplexityWorks on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.SalaryThe pay range for this role is $105,050 to $161,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.Benefits:HP offers a comprehensive benefits package for this position, including:Health insuranceDental insuranceVision insuranceLong term/short term disability insuranceEmployee assistance programFlexible spending accountLife insuranceGenerous time off policies, including;4-12 weeks fully paid parental leave based on tenure11 paid holidaysAdditional flexible paid vacation and sick leave ( US benefits overview )The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.Job -Data & Information TechnologySchedule -Full timeShift -No shift premium (United States of America)Travel -NoRelocation -NoEqual Opportunity Employer (EEO) -HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal " #J-18808-Ljbffr

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