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Remote Data Engineer Jobs in Dallas, OR (NOW HIRING)

Jacobs

Sr Structural Engineer (Data Center)

Corvallis, OR · On-site +1

$98.60K - $133.90K/yr

Proficiency with MS Office suite software including MS Teams for remote coordination * Ability for ... Master of Science in Engineering * Experience with industrial metals projects including casting and ...

DataAnnotation

DevOps Engineer

Salem, OR · Remote

$40 - $75/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DataAnnotation

Software Engineer

Salem, OR · Remote

$40 - $75/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Quora

AI Automation Engineer -Remote

Salem, OR · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

DataAnnotation

Frontend Engineer

Salem, OR · Remote

$40 - $75/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DataAnnotation

Mobile Software Engineer

Salem, OR · Remote

$40 - $75/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DataAnnotation

Backend Software Engineer

Salem, OR · Remote

$40 - $75/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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Remote Data Engineer information

See Dallas, OR salary details

$44.6K

$129.9K

$177.8K

How much do remote data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote 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 Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

More about Remote Data Engineer jobs
What are popular job titles related to Remote Data Engineer jobs in Dallas, OR? For Remote Data Engineer jobs in Dallas, OR, the most frequently searched job titles are:
What cities near Dallas, OR are hiring for Remote Data Engineer jobs? Cities near Dallas, OR with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Health Plan Analytics Engineer

Health Plan Analytics Engineer

Samaritan Health Services

Corvallis, OR • Remote

Other

Posted 12 days ago

Samaritan Health Services rating

7.3

Company rating: 7.3 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

289th of 864 rated healthcare providers

Job description

  • Samaritan Health Plans (SHP) operates a portfolio of health plan products under several different legal structures: InterCommunity Health Plans, Inc. (IHN) is designated as a regional Coordinated Care Organization (CCO) for Medicaid beneficiaries; Samaritan Health Plans, Inc. offers Medicare Advantage and Commercial Large Group plans. As part of an Integrated Delivery System, Samaritan Health Plans is strategically and operationally aligned with Samaritan Health Services’ mission of Building Healthier Communities Together.

    As part of an Integrated Delivery System, Samaritan Health Plans is strategically and operationally aligned with Samaritan Health Services’ mission of Building Healthier Communities Together.

    This is a remote position in which we are able to employ in the following states: Alabama, Alaska, Arizona, Arkansas, Connecticut, Florida, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Michigan, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, West Virginia, or Wisconsin

  • Our ideal Analytics Data Engineer candidate will have:

    • Deep experience designing, building, and optimizing scalable data pipelines that support healthcare analytics, population health, quality measurement, and regulatory reporting within a health plan environment.
    • Expert in integrating and transforming complex healthcare data sources—including claims, enrollment, clinical (EHR), pharmacy, eligibility, and social determinants of health—into reliable, analyticsa'ready datasets.
    • Proven partner to analytics, actuarial, clinical, and business teams, enabling insights for valuea'based care, HEDIS, STARS, CMS, and state reporting.
    • Experience in data architecture, ETL/ELT development, data quality governance, and performance optimization, with a strong focus on accuracy, compliance, and data lineage.
    • Skills in translating business requirements into technical solutions that improve efficiency, scalability, and decisiona'making across the organization.
  • .
  • EXPERIENCE/EDUCATION/QUALIFICATIONS
    • Bachelor’s degree in a quantitative field (e.g., computer science, data science, statistics, or equivalent) required.
    • Five (5) years experience in data analytics or engineering, with at least three (3) years focused on data modeling and transformation within a healthcare environment required.
    • Advanced experience in SQL and data transformation workflows (ETL/ELT) required.
    • Experience with Medallion Architecture (Bronze, Silver, Gold data layers) required.
  •  
  • KNOWLEDGE/SKILLS/ABILITIES
    • Data Modeling: Expertise in designing broad, multi-functional data sets that allow for cross-departmental trend analysis (financial, quality, and care management). Ability to build flexible data models utilized in downstream analytics tools (PowerBI, AWS QuickSight, Looker, Tableau, etc.).
    • Strategic Thinking: Ability to identify and resolve inefficiencies in reporting requests by creating self-service solutions that reduce administrative burden and support department leaders.
    • Communication: Skilled in translating technical data structures for non-technical department heads to improve overall organizational data literacy.
    • Scalability: Understanding of how to build data models that support growth.
    • Integrity: Commitment to building objective data models that prioritize mission-driven performance.
    • Industry Knowledge: Understanding of healthcare data sources, including claims, clinical data, and population health metrics. Familiarity with software best practices, including Git repositories, version control, and CI/CD pipelines.
  • PHYSICAL DEMANDS

    • Rarely
      (1 - 10% of the time)

      Occasionally
      (11 - 33% of the time)

      Frequently
      (34 - 66% of the time)

      Continually
      (67 – 100% of the time)

      CLIMB - STAIRS

      LIFT (Floor to Waist: 0"-36") 0 - 20 Lbs

      LIFT (Knee to chest: 24"-54") 0 – 20 Lbs

      LIFT (Waist to Eye: up to 54") 0 - 20 Lbs

      CARRY 1-handed, 0 - 20 pounds

      BEND FORWARD at waist

      KNEEL (on knees)

      STAND

      WALK – LEVEL SURFACE

      ROTATE TRUNK Standing

      REACH - Upward

      PUSH (0 - 20 pounds force)

      PULL (0 - 20 pounds force)

      SIT

      CARRY 2-handed, 0 - 20 pounds

      ROTATE TRUNK Sitting

      REACH - Forward

      MANUAL DEXTERITY Hands/wrists

      FINGER DEXTERITY

      PINCH Fingers

      GRASP Hand/Fist

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