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Remote Civil Engineering Data Analyst Jobs in Oregon

Tebra

Data Engineer

OR · Remote

$114K - $137K/yr

Develop and enhance data systems that support analytics and machine learning workloads, including ... engineering practices. #LI-SS1 #LI-Remote

Blattner Company

Sr. Engineer - Civil & Structures

OR · Remote

$100K - $145K/yr

Solar - Project Engineering A DAY IN THE LIFE As a Senior Engineer - Civil & Structures, you'll ... Gym on site * And more! #LI - Remote $100,561.00 - $145,814.00 Individual Compensation to be ...

Wellbe Senior Medical

Senior Data Engineer

$105K - $150K/yr

SKILLS & COMPETENCIES Coach and mentor the Analytics Engineering team: guiding, planning, and ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency ...

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

LMI

Data Governance Specialist - Clearance Required

$85K - $145K/yr

Coordinate with data engineers and analysts to ensure metadata and documentation remain current and ... This position may be performed in a remote or hybrid capacity. * Travel: Limited travel to Fort ...

Corvel

Data Scientist II

Perform feature engineering, data preparation, and exploratory analysis to support model ... Remote

360training

Data Architect Manager

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, NJ, PA ... Partner with BI, analytics, engineering, product, finance, and business teams to improve data trust ...

VytlOne

Sr. Epic Data Acquisition Analyst

$85K - $108K/yr

Position Location This is a remote-based position within the Continental US. Who We Are VytlOne is ... Coordinate with VytlOne data platform, analytics, and 340B business teams, and with external ...

Tebra

Director, Analytics Engineering

OR · Remote

Exposure to ML feature engineering or working alongside Data Science teams. * Background in a high-growth or scaling analytics environment. #LI-BG1 #LI-Remote

Wellbe Senior Medical

Data Systems Analyst

$90K - $120K/yr

Ensure assigned integration stories are delivered on time and are fully prepared for engineering ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency $90 ...

Varsity Tutors

PE - Civil - Structural Tutor

Portland, OR · Remote

$30 - $40/hr

Deep knowledge of PE Civil Structural examination content covering structural analysis, steel design, concrete design, wood design, masonry, seismic design, and structural engineering codes including ...

Varsity Tutors

PE - Civil - Structural Tutor

OR · Remote

$30 - $40/hr

Deep knowledge of PE Civil Structural examination content covering structural analysis, steel design, concrete design, wood design, masonry, seismic design, and structural engineering codes including ...

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All JobsCivil Engineering Data Analyst JobsRemote Civil Engineering Data Analyst JobsRemote Civil Engineering Data Analyst Jobs in Oregon

Remote Civil Engineering Data Analyst information

How does a remote civil engineering data analyst collaborate effectively with on-site engineering teams?

As a Remote Civil Engineering Data Analyst, you’ll frequently interact with on-site engineers and project managers through digital collaboration tools. Effective communication is key—regular video meetings, shared project management platforms, and clear documentation help bridge the distance. You may also be responsible for translating complex data insights into actionable recommendations for field teams. Building strong virtual relationships and staying proactive in your communication ensures that your analyses directly support project goals and that any data-driven changes are smoothly implemented on-site.

What are the key skills and qualifications needed to thrive as a remote civil engineering data analyst?

To thrive as a Remote Civil Engineering Data Analyst, you need a solid background in civil engineering principles, data analysis, and a relevant degree such as a BS in Civil Engineering or Data Science. Familiarity with technical tools like AutoCAD, GIS software, SQL databases, and data visualization platforms is typically required. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this role. These competencies enable accurate analysis and interpretation of engineering data, supporting sound decision-making for remote project teams.

What is the difference between Remote Civil Engineering Data Analyst vs Remote Civil Engineering Technician?

AspectRemote Civil Engineering Data AnalystRemote Civil Engineering Technician
Required CredentialsBachelor's in Civil Engineering, Data Analysis or related field; proficiency in data toolsAssociate's or Bachelor's in Civil Engineering or related field; technical skills in surveying and construction
Work EnvironmentPrimarily remote, analyzing data, creating reports, supporting project decisionsRemote or on-site, assisting with surveys, inspections, and technical tasks
Employer & Industry UsageEngineering firms, consulting agencies, government agenciesConstruction companies, engineering firms, public works departments

The main difference is that Remote Civil Engineering Data Analysts focus on analyzing civil engineering data remotely to support projects, while Remote Civil Engineering Technicians handle technical field tasks and inspections, often requiring more hands-on work. Both roles may be remote but serve different functions within civil engineering projects.

What does a remote civil engineering data analyst do?

A Remote Civil Engineering Data Analyst is responsible for collecting, processing, and interpreting data related to civil engineering projects from a remote location. They work with data sets involving construction, infrastructure, transportation, and environmental systems to help engineers make data-driven decisions. Their tasks often include data visualization, statistical analysis, and reporting findings to project teams. By working remotely, they leverage digital tools and cloud-based platforms to collaborate and deliver insights efficiently.
What are popular job titles related to Remote Civil Engineering Data Analyst jobs in Oregon? For Remote Civil Engineering Data Analyst jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Civil Engineering Data Analyst jobs in Oregon look for? The top searched job categories for Remote Civil Engineering Data Analyst jobs in Oregon are:
What cities in Oregon are hiring for Remote Civil Engineering Data Analyst jobs? Cities in Oregon with the most Remote Civil Engineering Data Analyst job openings:
Remote Civil Engineering Data Analyst jobs near you

Data Engineer

Tebra

OR • Remote

$114K - $137K/yr

Full-time

Posted 11 days ago

Job description

About the Role

As a Data Engineer focused on AI/ML, you'll build, maintain, and optimize the data infrastructure that powers Tebra's intelligent features. You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to transform complex healthcare data into high-quality datasets and real-time features that enable machine learning models.

This is a hands-on engineering role where you'll contribute to scalable data pipelines, improve data quality, and help ensure our AI systems are powered by reliable, performant, and well-governed data. You'll work on modern data platforms and gain experience building solutions that support both model training and production inference.

Your Area of Focus
  • Design, build, and maintain scalable data pipelines for feature extraction, training data generation, and model monitoring.
  • Develop and enhance data systems that support analytics and machine learning workloads, including data lakehouse and feature store technologies.
  • Monitor production data pipelines, identify data quality issues or pipeline failures, and implement improvements to ensure reliability and freshness.
  • Participate in engineering design discussions and contribute to technical decisions around data architecture and pipeline implementation.
  • Build reusable data engineering components, including automated data quality checks, schema validation, and testing frameworks.
  • Translate business requirements into scalable data solutions that enable analytics and machine learning use cases.
  • Optimize SQL queries, Spark workloads, and data processing pipelines to improve performance and scalability.
  • Collaborate with ML Engineers and cross-functional partners to support MLOps best practices, including data versioning, lineage, and reproducibility.
  • Break down technical work into manageable tasks and deliver high-quality solutions within an agile team.
Your Professional Qualifications
  • 3+ years of professional experience in Data Engineering, Software Engineering, or a related field.
  • 2+ years of hands-on experience building and maintaining production data pipelines supporting analytics, reporting, or machine learning workloads.
  • Strong proficiency in Python and SQL with experience developing production-quality data pipelines.
  • Experience with modern data processing technologies such as Spark, Airflow, Kafka, or similar distributed data platforms.
  • Experience working with cloud-based data platforms such as Databricks, Snowflake, Delta Lake, or equivalent lakehouse technologies.
  • Understanding of data modeling, data warehousing, and data governance best practices.
  • Familiarity with machine learning data workflows, including training datasets, feature engineering, and data quality concepts.
  • Experience deploying and supporting production data pipelines with monitoring, testing, and CI/CD practices.
  • Strong problem-solving skills, attention to detail, and the ability to collaborate effectively across engineering and product teams.
  • Excellent communication skills and a desire to continuously learn new technologies and engineering practices.

#LI-SS1 #LI-Remote

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