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Entry Level Analytics Engineer Jobs in Seattle, WA

Casne Engineering, Inc.

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Electrical Engineer - Entry Level

Bellevue, WA · On-site

$75K - $85K/yr

Casne Engineering is seeking an energetic, self-starting individual to provide electrical design ... Arc Flash Hazard Analysis * Motor Control Systems * Data, Networking and Communication Systems

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All JobsAnalytics Engineer JobsEntry Level Analytics Engineer JobsEntry Level Analytics Engineer Jobs in Seattle, WA

Entry Level Analytics Engineer information

See Seattle, WA salary details

$46.1K

$98.3K

$162.2K

How much do entry level analytics engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for entry level analytics engineer in Seattle, WA is $98,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $117,800.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Analytics Engineer vs Data Analyst?

AspectEntry Level Analytics EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; some certificationsBachelor's in Statistics, Math, or related field; certifications optional
Work EnvironmentTechnical teams, data engineering projects, software toolsBusiness units, reporting, data visualization tools
Employer & Industry UsageTech companies, startups, data-driven organizationsFinance, marketing, healthcare, retail
Common Search & ComparisonYesYes

The Entry Level Analytics Engineer focuses on building data pipelines, integrating data sources, and supporting data infrastructure, often requiring programming skills. Data Analysts primarily interpret data, create reports, and visualize insights for business decisions. While both roles work with data, Analytics Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and reporting.

What does an entry level analytics engineer do?

An Entry Level Analytics Engineer is responsible for building and maintaining data pipelines, transforming raw data into usable formats, and ensuring data quality for analysis. They work closely with data analysts and data scientists to create data models and automate data workflows, often using tools like SQL, Python, and cloud data platforms. Entry level positions focus on learning best practices, supporting senior engineers, and helping the organization make data-driven decisions by providing clean and reliable data.

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

To thrive as an Entry Level Analytics Engineer, you need a solid grounding in data analysis, SQL, and basic programming skills, often supported by a degree in computer science, statistics, or a related field. Familiarity with data modeling tools, analytics platforms like dbt, and cloud data warehouses such as Snowflake or BigQuery is typically expected. Strong problem-solving abilities, attention to detail, and effective communication are important soft skills that help bridge technical and business needs. These skills ensure accurate, actionable data insights and smooth collaboration with cross-functional teams in data-driven environments.

What types of projects do entry level analytics engineers typically work on, and how do they collaborate with data teams?

Entry Level Analytics Engineers often assist with building and maintaining data pipelines, transforming raw data into usable formats for analysis, and developing reports or dashboards for business stakeholders. They work closely with data analysts to understand reporting needs and with data engineers to ensure data quality and efficient data flow. Collaboration is key, as they may participate in team meetings, code reviews, and documentation efforts to support broader analytics goals. This role provides hands-on experience with modern data tools while offering opportunities to learn from more senior team members.

What are the most commonly searched types of Analytics Engineer jobs in Seattle, WA?

The most popular types of Analytics Engineer jobs in Seattle, WA are:

What are popular job titles related to Entry Level Analytics Engineer jobs in Seattle, WA?

For Entry Level Analytics Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Analytics Engineer jobs in Seattle, WA look for?

The top searched job categories for Entry Level Analytics Engineer jobs in Seattle, WA are:

Entry Level Analytics Engineer jobs near you
Infographic showing various Entry Level Analytics Engineer job openings in Seattle, WA as of June 2026, with employment types broken down into 2% Locum Tenens, 92% Full Time, 2% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $98,304 per year, or $47.3 per hour.

Probabilistic Risk Assessment (PRA) Engineer (Entry Level)

System One

Bellevue, WA • Remote

$37 - $74/hr

Contractor

Re-posted 21 days ago

Job description

Probabilistic Risk Assessment (PRA) Engineer – Entry Level (Contract)

Location: Remote Pay Rate: $37-$74/hour Position Type: Long-Term Contract

Position Overview

System One is seeking an Entry Level Probabilistic Risk Assessment (PRA) Engineer to support the development of next-generation advanced nuclear reactor technology. This role offers an excellent opportunity to work with a multidisciplinary engineering team performing probabilistic risk assessments, severe accident analysis, and safety evaluations that support reactor design, licensing, and regulatory compliance.

The selected candidate will contribute to the development and maintenance of PRA models, perform risk analyses, support hazard evaluations, and collaborate with engineering teams to ensure safe, reliable, and innovative reactor designs.

Responsibilities

  • Support internal and external Probabilistic Risk Assessment (PRA) activities.
  • Develop and maintain event trees, fault trees, and PRA models using CAFTA.
  • Perform risk integration studies, importance measures, and risk metrics.
  • Support severe accident and consequence analyses.
  • Participate in hazard analyses, PIRT evaluations, SSC classifications, Licensing Basis Events (LBE), and Defense-in-Depth (DID) evaluations.
  • Collaborate with multidisciplinary engineering teams to establish system reliability, safety, and performance requirements.
  • Prepare engineering calculations, technical documentation, and analytical reports.
  • Participate in design reviews and engineering evaluations.
  • Present technical findings to project teams, management, and regulatory organizations.
  • Support continuous improvement of PRA methodologies, computational models, and engineering processes.

Required Qualifications

  • Bachelor's degree in Nuclear, Mechanical, Electrical, Aerospace Engineering, or related discipline.
  • One or more years of Probabilistic Risk Assessment (PRA) experience.
  • Understanding of PRA principles and familiarity with ASME/ANS PRA standards.
  • Knowledge of risk-informed, performance-based regulatory approaches.
  • Experience with PRA software such as CAFTA, FRANX, SAPHIRE, RiskSpectrum, or similar tools.
  • Strong technical writing, analytical, and communication skills.
  • Ability to work effectively on multidisciplinary engineering teams.

Preferred Qualifications

  • Experience with GOTHIC, MELCOR, RADTRAD, or similar analytical software.
  • Experience with sodium-cooled or advanced reactor technologies.
  • Knowledge of severe accident analysis, human reliability analysis, source term evaluations, and accident progression.
  • Familiarity with nuclear licensing and regulatory requirements.

This is an outstanding opportunity to contribute to the development of advanced nuclear technologies while working remotely on innovative, first-of-a-kind engineering projects.

Ref: #161-Managed Staffing Charlotte