1

Analytics Engineer Jobs in Edmonds, WA (NOW HIRING)

AI Data Engineer 3

Redmond, WA · On-site

$74.74 - $83.04/hr

We are seeking a talented Analytics Engineer to join a dynamic Player and Data Analytics team. In this role, you will be instrumental in building robust data pipelines, crafting sophisticated data ...

We are seeking a Senior Analytics Engineer to join our dynamic Player and Data Analytics team. The ideal candidate will have strong experience in building scalable data pipelines, crafting robust ...

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Identify and analyse multi-structured data or metadata from a variety of sources to select and ... Leverage modern data engineering practices and frameworks with an object-oriented approach to ...

Structural Analysis Engineer - Level 3 Company: Job Title: Structural Analysis Engineer - Level 3 Employing Entity: The Boeing Company Job Location: 3003 W Casino Rd, Everett, WA 98204 We are looking ...

Structural Analysis Engineer - Level 3 Company: Job Title: Structural Analysis Engineer - Level 3 Employing Entity: The Boeing Company Job Location: 3003 W Casino Rd, Everett, WA 98204 We are looking ...

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

Reactor Enclosure System (RES) Thermal Analysis Engineer Position Description: Protingent Staffing has an exciting contract Reactor Enclosure System (RES) Thermal Analysis Engineer opportunity. Job ...

next page

Showing results 1-20

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 business insights.

What engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

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.

What is the average salary of an analytics engineer?

The average salary of an analytics engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, Python, and data visualization tools tend to earn higher salaries, especially in larger organizations or tech hubs.

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 big data salary?

The salary for an Analytics Engineer working with big data typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals skilled in tools like Hadoop, Spark, and SQL tend to earn higher salaries, especially with certifications and advanced technical expertise.

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 job categories do people searching Analytics Engineer jobs in Edmonds, WA look for? The top searched job categories for Analytics Engineer jobs in Edmonds, WA are:
What cities near Edmonds, WA are hiring for Analytics Engineer jobs? Cities near Edmonds, WA with the most Analytics Engineer job openings:
MAC Automation & Analytics Engineer, Leo MAC

MAC Automation & Analytics Engineer, Leo MAC

Amazon

Redmond, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,854 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Overview:
We are seeking an engineer to build and own the MAC Analyzer and MAC feature automation framework. This role sits at the intersection of automation, data analytics, and MAC domain expertise, with the goal of democratizing MAC-level diagnostics and ensuring robust automated validation of MAC features across releases.
Role Summary:
The MAC Analyzer will leverage computational analysis against SDN and telemetry databases to systematically examine contacts, identify problem areas, and surface actionable insights. The tool will enable anyone across teams to run MAC-level diagnostics without requiring deep domain expertise, delivering more consistent and thorough analysis than manual methods allow. Additionally, this role will own the MAC feature automation framework to ensure all MAC features are continuously validated across releases with minimal manual intervention.
Key Responsibilities:
MAC Analytics
Design and develop the MAC Analyzer tool with ML-based anomaly detection and predictive capabilities, encoding experienced MAC engineer diagnostic methodologies into automated workflows that interface with SDN and telemetry databases
Build self-improving analytical pipelines that automate triage, root cause analysis, and reporting from raw telemetry data, trained on historical contact data and engineer patterns
Create intuitive interfaces that make MAC diagnostics accessible to non-domain experts, continuously expanding coverage based on new failure modes and field observations
MAC Feature Automation
Design, develop, and maintain an automated test framework covering MAC features (QoS, scheduling, grant handling, multicast, traffic shaping) integrated into the payload test framework and release qualification loop
Automate scenario-based testing for complex MAC configurations (simplex DL/UL combinations, MCS edge cases, burst handling) with traffic generation tools that replicate field conditions in lab environments
Build regression suites with comprehensive test coverage metrics, collaborating with the release team to ensure seamless integration into the release testing pipeline
Qualifications:
Experience in software development with strong data analysis and test automation skills
Familiarity with database querying (SDN, telemetry, or similar systems)
Ability to translate complex engineering heuristics into algorithmic workflows
Experience building test frameworks and automation pipelines
Experience with machine learning frameworks and data processing at scale
Experience building tools or platforms used by cross-functional teams
Strong communication skills to work with domain experts and capture analytical approaches
Preferred:
Background in wireless/MAC layer systems or telecommunications
Experience with telemetry data pipelines and observability tooling
Familiarity with statistical analysis, anomaly detection, and time-series forecasting
Experience with release qualification processes and CI/CD integration
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Redmond - 143,700.00 - 194,400.00 USD annually

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US