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Analytics Engineer Jobs in Bothell, WA (NOW HIRING)

Lead business intelligence engineering and analytics talent across multiple domains. * Mentor and develop team members while promoting excellence, collaboration, and innovation. * Own the analytics ...

Senior Safety Analysis Engineer Position Description: Protingent Staffing has an exciting contract Senior Safety Analysis Engineer opportunity. Job Responsibilities: * Develop system models and ...

Senior Safety Analysis Engineer Position Description: Protingent Staffing has an exciting contract Senior Safety Analysis Engineer opportunity. Job Responsibilities: * Develop system models and ...

Data Engineer II, AWS Analytics Engineering

Seattle, WA ยท On-site

$130K - $156K/yr

The AWS Analytics Engineering (AAE) organization is the analytics backbone of AWS - we build and operate the data platform that powers business decisions across more than 150 AWS services. Every ...

Data Engineer II, AWS Analytics Engineering

Seattle, WA ยท On-site

$130K - $156K/yr

The AWS Analytics Engineering (AAE) organization is the analytics backbone of AWS - we build and operate the data platform that powers business decisions across more than 150 AWS services. Every ...

Showing results 41-60

Analytics Engineer information

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are the most commonly searched types of Analytics Engineer jobs in Bothell, WA? The most popular types of Analytics Engineer jobs in Bothell, WA are:
What job categories do people searching Analytics Engineer jobs in Bothell, WA look for? The top searched job categories for Analytics Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Analytics Engineer jobs? Cities near Bothell, WA with the most Analytics Engineer job openings:
Infographic showing various Analytics Engineer job openings in Bothell, WA as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

System Transients Analysis Engineer

System One

Bellevue, WA โ€ข On-site

Contractor

Re-posted 19 days ago


Job description

Job Title: System Transients Analysis Engineer Location: Bellevue, WA Job Type: Contract Work Model: Hybrid/Onsite Preferred

Overview

System One is seeking a highly capable and motivated System Transients Analysis Engineer to support an advanced sodium-cooled reactor program. This role will focus on thermal hydraulic and transient analysis activities supporting advanced reactor system design, plant operations analysis, and control system integration.

The ideal candidate will have strong experience with system analysis codes such as RELAP5 or TRACE, along with a strong foundation in thermal hydraulics, heat transfer, fluid dynamics, and nuclear plant transient analysis.

Responsibilities

  • Develop RELAP5-3D models for steady-state and transient one-dimensional hydraulic network analyses
  • Perform reactor and plant transient analyses for normal operations, upset conditions, emergency events, and faulted scenarios
  • Develop plant-level control strategies and component-level controllers
  • Perform calculations using first principles of heat transfer, thermodynamics, and fluid dynamics to validate analytical results
  • Support evaluation of plant-wide transients, operational narratives, and design solutions
  • Perform multiscale and multidisciplinary thermal hydraulic analyses involving sodium, molten salt, and non-condensable fluids
  • Collaborate closely with safety, I&C, design engineering, and testing teams
  • Support development of new analytical methods and advanced modeling techniques
  • Prepare technical reports, calculations, and engineering documentation

Required Qualifications

  • Bachelor’s degree or higher in Nuclear Engineering, Mechanical Engineering, Electrical Engineering, or related discipline
  • Strong experience with thermal hydraulic system codes such as RELAP5 and/or TRACE
  • Strong analytical background in:
    • Thermal hydraulics
    • Fluid dynamics
    • Heat transfer
    • Transient analysis
    • One-dimensional hydraulic network modeling
  • Strong technical writing and communication skills
  • Ability to work effectively in a collaborative, fast-paced engineering environment
  • High level of professionalism, integrity, and teamwork

Preferred Qualifications

  • Experience with ASME component design and analysis
  • Experience modeling control systems and Instrumentation & Controls (I&C)
  • Experience supporting nuclear power plant design or operations
  • Experience developing new analytical methods
  • Advanced reactor or sodium-cooled reactor experience

Physical & Work Environment Requirements

  • Ability to sit and/or stand for extended periods
  • Minimal lifting requirements up to 25 pounds
  • Prolonged computer and keyboard work
  • Standard office or engineering work environment
  • Occasional travel up to 5%

Additional Information

This position may require compliance with U.S. export control regulations. Applicants may be asked to provide information regarding citizenship or work authorization status as part of the hiring process.

Ref: #161-Managed Staffing Charlotte