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Analytics Engineer Jobs in Bothell, WA (NOW HIRING)

ThriftBooks

Senior Analytics Engineer

Seattle, WA · On-site

$112K - $168K/yr

We are looking for a Senior Analytics Engineer to build data models that enable analytics and decision-making across ThriftBooks. You will make data easy to discover, understand, and trust. Working ...

Opendoor

Agentic Analytics Engineer

Seattle, WA · On-site

$186K - $256K/yr

About the Team As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This ...

Community Transit

Digital Engineer Analytics 1

Everett, WA · On-site

$101K - $152K/yr

Community Transit is seeking a skilled and collaborative Digitial Analytics Engineer to design and manage the digital analytics infrastructure that supports Community Transit's websites, mobile ...

1 point system

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 ...

Community Transit

Digital Engineer Analytics 1

Everett, WA · On-site +1

$150K/yr

Overview Community Transit is seeking a skilled and collaborative Digitial Analytics Engineer to design and manage the digital analytics infrastructure that supports Community Transit's websites ...

pds

Structural Analysis Engineer

Everett, WA · On-site

$68.23/hr

Structural Analysis Engineer Put Your Aerospace Expertise to Work on Industry-Leading Aircraft Programs PDS Tech Commercial is partnering with a leader in the aviation industry to hire an experienced ...

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Analytics Engineer information

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.

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 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.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

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 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 are popular job titles related to Analytics Engineer jobs in Bothell, WA?

For Analytics Engineer jobs in Bothell, WA, the most frequently searched job titles 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:

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Bothell, WA as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Digital - Senior Analytics Engineer/Analytics Engineer, Digital Technology

Seattle, WA • On-site

Aritzia LP
Apparel and Accessories Stores • 5 - 10K employees

8.1

Company rating: 8.1 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

People enjoy working here

Good employer

Recommended by students

Learn more about Aritzia LPexternal

$100K - $300K/yr

Full-time

Posted 14 days ago

Job description

THE BUSINESS
We are Everyday Luxury™.
It's what we do and how we do it - together.
It's working alongside world-class talent in pursuit of world-class results.
It's maximizing your potential in a high-performance culture.
It's knowing that wherever you are, you belong.
It's elevating your world - and the world of those who love and will love Aritzia.
It's You. And an endless runway of opportunity.
With a Global Support Campus in Vancouver and additional Support Office hubs in major cities across North America - including Toronto, New York, Los Angeles and Seattle - our workplace network is strategically designed to support our People and serve our Clients a frictionless experience. So, you can do what you do best - with us.
THE TEAM
The mission of the Digital Technology department is to design, build, deliver and operate robust, efficient, and scalable technology solutions that align with our strategic, business and technology goals.
THE OPPORTUNITY
Aritzia is growing and our Digital Technology team is growing with it. This is a unique opportunity to be part of the team responsible for delivering everyday luxury experiences to Aritzia's clients by leveraging technology to meet and exceed the vision and mission of the business. As the Senior Analytics Engineer / Analytics Engineer, you will transform complex data into trusted, business-ready assets that empower decision-making across the organization. You will partner closely with cross-functional stakeholders to establish consistent metrics, develop scalable data models, and improve the accessibility and reliability of data. By combining strong technical capabilities with business acumen, you will create the foundation for meaningful insights, high-quality reporting, and data products that unlock opportunities, drive performance, and enable confident decision-making. And, with the skills you gain in this role, the opportunities are endless - from a rewarding career in Digital Technology to continued growth and development with Aritzia.
THE ROLE
As a Senior Analytics Engineer / Analytics Engineer, Digital Technology, you will:
  • Design, develop, and optimize trusted, reusable data models that support analytics, reporting, and downstream data products
  • Transform raw landed data into curated, documented datasets that enable consistent business use
  • Partner closely with analytics, data science, engineering, and business stakeholders to translate business needs into scalable analytical assets
  • Define and maintain semantic layers that support business intelligence, self-serve analytics, and downstream consumption
  • Establish and uphold data quality, governance, privacy, and documentation standards for trusted analytical datasets
  • Contribute to the evolution of the customer data model, improving usability, consistency, and reliability across data products
  • Support the development of data testing, lineage, and documentation practices that increase trust in business reporting
  • Mentor junior engineers and promote analytics engineering best practices, data standards, and operational excellence

THE QUALIFICATIONS
The Senior Analytics Engineer / Analytics Engineer, Digital Technology has:
  • Proven skills, education, and/or applicable certifications in computer science, analytics engineering, business intelligence, and/or data analytics
  • Proficiency in SQL and data modeling for analytics, reporting, and downstream data products
  • Experience developing transformation workflows and documented datasets using modern analytics engineering tools, with dbt preferred
  • Experience with modern data warehousing solutions (BigQuery, Snowflake, Redshift preferred)
  • Experience defining metrics, business logic, semantic layers, and reusable data products
  • Experience with data quality, testing, governance, lineage, and documentation standards
  • Experience supporting Digital Marketing (DTC, Owned, Paid channels) and Customer Data (zero/first/third-party) preferred
  • Curiosity to leverage AI to accelerate workflows and generate business solutions
  • A commitment to learn and apply Aritzia's Values, Business and People Leadership principles
  • The ability to collaborate fluently with cross-functional partners
  • A commitment to quality and investing in results that add value to the business

THE COMPENSATION
At Aritzia, we provide market-leading compensation packages designed to reward impact through our pay-for-performance philosophy.
The range for roles at this level is $100,000-$300,000 per year. Total compensation may include base, bonus and/or equity depending on the role, which has the potential to be greater than this range.
With comprehensive benefits, aspirational workspaces, and elevated perks and experiences - we provide it all.
THE PERKS
Some of the industry-leading benefits you will receive working at Aritzia:
  • Product Discount - Maybe you've heard of our famous product discount? Or our exclusive private shopping events? You have now.
  • Baby Leave Program - We provide up to 16 weeks of paid time to support you and your growing family.
  • Aritzia Virtual Wellness - Because your health, happiness and safety matter, we provide 24/7 resources to support you in your wellbeing goals, whether they're physical, mental, social or financial.
  • Aspirational Workplace - Our offices are specially designed to be spaces of creativity, productivity and inspiration.
  • Amenities - Additional amenities include a private parent's room, shower facilities with elevated complementary conveniences, bike rooms and more.
  • The Extras - We also offer a multitude of other perks like snacks and refreshments, dry-cleaning, hotel, restaurant discounts, health and wellness discounts, and self-care promos.

ARITZIA
Aritzia is an Equal Employment Opportunity employer. Our goal is to be inclusive, diverse, and representative of the communities where we work while creating an environment where every person can enjoy a successful career. This commitment applies to all candidates and employees regardless of race, ethnicity, citizenship, creed, place of origin, religion, sex, gender identity, gender expression, sexual orientation, family status, marital status, disability, age, and any other protected characteristic.
Requests for accommodation due to a disability or any other protected characteristic can be made at any stage of the recruitment process and during employment by contacting our People & Culture Team.
We're committed to making your experience positive and transparent. Please note, our recruiters will only contact you using an @aritzia.com email address. If you receive recruitment-related messages from other domains, please disregard them.

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