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

Agility Robotics

Senior Manager, AI Innovation

Salem, OR · On-site +1

$268K - $364K/yr

With industry-leading safety standards and years of proven deployment data, we're pioneering a new ... You will manage a high-performing team of researchers and engineers, fostering a culture of ...

InfluxData

Director of Finance

Corvallis, OR · Remote

$180K - $230K/yr

Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally ...

The AES Group

Business System Analyst

Salem, OR · Remote

Remote - USA Let's create our future together at The AES Group! About The AES Group The AES Group ... Facilitate solution design sessions involving developers, business analysts, architects, and ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Dallas, OR

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 Jul 17, 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 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.

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 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.
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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
Senior Manager, AI Innovation

Senior Manager, AI Innovation

Agility Robotics

Salem, OR • On-site, Remote

$268K - $364K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

About The Role

The Senior Manager of AI Innovation will be a key leader within our cutting-edge humanoid robotics company, bridging the gap between cutting-edge AI/ML research and functional robotic applications. Your mission is to drive research that derisks our product roadmap by solving complex robotics challenges on the one to two year time horizon. This will include driving initiatives from concept stage to minimal viable product across domains such as perceptive real-time planning, whole body-control, and learning from demonstration. You will manage a high-performing team of researchers and engineers, fostering a culture of rigorous experimentation, problem based research, failing fast, and extreme ownership.

About The Work
  • Oversee the lifecycle of innovation projects, from initial research and whiteboarding to "proof-of-concept" deployment on humanoid platforms.
  • Owns the success of the AI Innovation program, holding themselves and the team accountable for quality and delivery.
  • Drive research into novel AI solutions for complex robotics challenges, such as real-time planning, human-robot interaction, and adaptive motor control.
  • Accelerate our data flywheel strategy to combine teleoperation, synthetic data, and fleet learning to expand the fleet performance and reliability.
  • Partner with Hardware and Robot Software teams to ensure that next-generation sensor suites are optimized for future AI architectures.
  • Champion the existing team's talent and represent their needs to senior leadership.
  • Manage performance cycles, create individualized development plans, and lead hiring to scale the AI Innovation team.
  • Foster a safe and collaborative environment within the team, encouraging open dialogue and the freedom to learn from failed experiments.
Required Qualifications
  • Advanced degree (M.S. or Ph.D.) in Computer Science, Robotics, Electrical Engineering, or a related field.
  • Minimum of 8 years of experience in AI/ML, with at least 3 years in a management role.
  • Demonstrated experience in developing and deploying real-time AI solutions for robotics, autonomous systems, or other mission-critical applications.
  • Strong expertise in core AI domains, including computer vision, reinforcement learning, and large language models (LLMs) applied to robotics.
  • Proven track record of managing scaling high-performance engineering or research teams.
  • Experience deploying models on resource-constrained edge devices, balancing inference speed, power consumption, and thermal limits.

This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Base Salary Range
$268,000—$364,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.

Apply Now: https://grnh.se/b444bbd04us