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Data Fleet Jobs in Oregon (NOW HIRING)

May Mobility

Software Engineer II - Data Platform

OR · On-site +1

$114K - $137K/yr

Collaborate on the development of front-end interfaces to visualize data and improve fleet operations. * Partner with cross-functional autonomy and platform teams to address software needs, ensuring ...

PABCO Building Products, LLC

Fleet Dispatcher

Rickreall, OR · On-site

$27.88 - $31.73/hr

Ability to define problems, collect data and establish facts. * Excellent communication, leadership, conflict resolution, and problem-solving skills. * Predictable and regular attendance is required.

New

Basalite Concrete Products

Fleet Dispatcher

Rickreall, OR · On-site

$27.88 - $31.73/hr

Ability to define problems, collect data and establish facts. * Excellent communication, leadership, conflict resolution, and problem-solving skills. * Predictable and regular attendance is required.

New

Panthalassa

Fluid Dynamicist

Portland, OR

$110K - $152K/yr

Experience with metocean reanalysis datasets, measured ocean data, wave spectra, environmental contours, or fleet deployment simulations. * Experience validating reduced-order models against CFD ...

Panthalassa

Fluid Dynamicist

Portland, OR · On-site

$110K - $152K/yr

Experience with metocean reanalysis datasets, measured ocean data, wave spectra, environmental contours, or fleet deployment simulations. * Experience validating reduced-order models against CFD ...

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All JobsData Fleet JobsData Fleet Jobs in Oregon

Data Fleet information

What is a data fleet?

Data Fleet professionals are specialists who manage and oversee large-scale data infrastructure, often focusing on the movement, storage, and processing of data across distributed systems. Their responsibilities may include ensuring data integrity, optimizing data pipelines, and supporting data analytics or engineering teams. They work with technologies like cloud storage, databases, and data integration tools to maintain efficient and secure data operations within an organization.

What are the key skills and qualifications needed to thrive as a data fleet professional?

To thrive as a Data Analyst, you need strong analytical abilities, proficiency in statistics, and typically a degree in mathematics, computer science, or a related field. Familiarity with data analysis tools such as SQL, Excel, Python, R, and data visualization platforms like Tableau is essential, as are certifications in analytics or data science. Attention to detail, problem-solving skills, and effective communication help analysts translate data insights into actionable business recommendations. These competencies are vital for ensuring accurate data interpretation and driving informed decision-making within an organization.

How does a data fleet team typically collaborate with other departments within an organization?

A Data Fleet team often works closely with various departments such as engineering, operations, and analytics to manage and optimize the flow of data across the organization. Collaboration usually involves regular meetings to align on data requirements, ensuring data integrity, and supporting the integration of new data sources. Team members may also assist in troubleshooting and resolving data pipeline issues to support business objectives. Clear communication and cross-functional teamwork are essential for successfully delivering actionable insights and maintaining robust data infrastructure.

What is the difference between Data Fleet vs Data Analyst?

AspectData FleetData Analyst
Required CredentialsExperience with fleet management, logistics, or transportation data; sometimes certifications in fleet operationsDegree in statistics, data science, or related field; often certifications in data analysis tools
Work EnvironmentLogistics companies, transportation firms, or fleet management departmentsCorporate offices, consulting firms, or data departments across industries
Employer & Industry UsageTransportation, logistics, and fleet management companiesVarious industries including finance, marketing, healthcare, and more

While Data Fleet focuses on managing and analyzing transportation or fleet data, Data Analysts work across multiple industries analyzing diverse datasets to support business decisions. Both roles require strong analytical skills, but Data Fleet specialists often have industry-specific knowledge related to logistics and fleet operations.

What are popular job titles related to Data Fleet jobs in Oregon?

For Data Fleet jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Data Fleet jobs in Oregon look for?

The top searched job categories for Data Fleet jobs in Oregon are:

What cities in Oregon are hiring for Data Fleet jobs?

Cities in Oregon with the most Data Fleet job openings:

Data Fleet jobs near you
Infographic showing various Data Fleet job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Staff Software Engineer, Data Platform

Agility Robotics

Salem, OR • On-site, Remote

$191K - $299K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 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

Join the cutting-edge team building the data platform that powers fleet-scale humanoid robotics. As a Staff Software Engineer on our Data Platform team, you will play a pivotal role in designing, developing, and maintaining the infrastructure that enables efficient ingestion, processing, discovery, serving, and analysis of massive datasets generated by our robots. Your work will directly contribute to improving robot performance, operational insights, and scaling our cloud-based systems.

Key Responsibilities
  • Data Ingestion: Design and implement scalable data pipelines for ingesting and processing telemetry, logs and sensor data from our fleet of robots and associated cloud software
  • Data Agents: Develop and maintain data ingestion agents running directly on robot software to ingest high volume data in low connectivity environments. 
  • Data Formats: Maintain and develop data formats and protocols optimized for transmission, storage and query of data recordings, sensor data and telemetry.  
  • Observability systems: Develop and maintain observability systems using tools like fluentbit, OpenTelemetry etc enabling real-time monitoring and analytics of fleet operations.
  • Big Data Processing: Implement solutions to prepare high volume, high velocity data for analysis using technologies such as Spark, Kafka or equivalent
  • Cloud Platform: Build and optimize tools for internal stakeholders for business intelligence and long-horizon fleet analytics and forecasting using existing tools like AWS S3, Athena, Sagemaker etc.
  • IoT integration: Leverage IoT experience to improve data collection and processing pipelines from robot sensors and edge devices.
Required Qualifications
  • 5+ years of strong experience in building and scaling cloud-based data platforms with familiarity in cloud providers like AWS, GCP or Azure.
  • Proficient in big data frameworks like Spark, Kafka, Beam, Flink etc
  • Familiarity with OSS data formats like Parquet, Arrow, Iceberg and protocols like Avro and Protobuf.
  • Experience with observability tools(e.g. OpenTelemetry, Prometheus etc) and implementing metrics, tracing and logging systems
  • Proficiency in languages like Java, Scala (any JVM), or Python and a solid understanding of distributed systems and microservices architectures.
Bonus Qualifications
  • Experience with Robotics, Autonomous Vehicles, or other sensor heavy workloads will be strongly preferred. 
  • Knowledge of IoT systems, edge computing or working with embedded devices is nice-to-have.
  • Data catalog experience (Datahub, Amundsen, Databricks Unity Catalog)
  • Experience with Databricks 
  • Experience with Kubernetes
  • Experience with Bazel/Blaze or other build systems
  • Experience with C++, Rust
  • Experience with robot data formats like mcap, ROS etc and data playback and visualization tooling like Rerun etc. 


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
$191,000—$299,000 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.