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Analytics Engineer Jobs in Seattle, WA (NOW HIRING)

The Senior Analytics Engineer, Enterprise Opportunity We are seeking a Senior Analytics Engineer to support the Enterprise by building reliable, well-modeled, and trusted data for reporting, decision ...

Lead Analytics Engineer

Seattle, WA · Remote

$80K - $115K/yr

The Lead Analytics Engineer also provides technical mentorship and guidance to peers, reviewing work for accuracy, and helping elevate the team's overall data maturity. Essential Duties and ...

About the Role We're hiring a Senior Analytics Engineer to own the analytics layer that powers data-driven decisions across Nscale's GPU procurement and hardware supply chain. In this role, you'll ...

Senior Analytics Engineer

Seattle, WA

$118K - $163K/yr

We're hiring a Senior Analytics Engineer to design and build the data pipelines, semantic models, and analytical reports that bring that foundation to life - and to do it with a product mindset, so ...

Senior Analytics Engineer

Seattle, WA · On-site

$118K - $163K/yr

We're hiring a Senior Analytics Engineer to design and build the data pipelines, semantic models, and analytical reports that bring that foundation to life - and to do it with a product mindset, so ...

The Analytics Engineering team at Remitly builds foundational data pipelines and models that power decision-making across the company. You will design dimensional models across multiple business ...

Senior Analytics Engineer

Seattle, WA · On-site

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong ...

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong ...

Senior Analytics Engineer

Seattle, WA · On-site

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong ...

They are seeking a Senior+ Agentic Analytics Engineer to build proactive AI systems that enhance decision-making and analytics within the organization. Responsibilities : • Design and deploy AI ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Senior Data Analytics Engineer

Seattle, WA · On-site +1

$115K - $140K/yr

We are growing & looking for a Senior Analytics Engineer to join our Team. The primary purpose of this position is to be at the forefront of building and maintaining the data infrastructure that ...

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Analytics Engineer information

See Seattle, WA salary details

$67.6K

$118.1K

$192.7K

How much do analytics engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for analytics engineer in Seattle, WA is $118,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,208.00 and $132,583.00 per year, depending on experience, location, and employer.

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 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 Analytics Engineer jobs in Seattle, WA? For Analytics Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What cities near Seattle, WA are hiring for Analytics Engineer jobs? Cities near Seattle, WA with the most Analytics Engineer job openings:
Infographic showing various Analytics Engineer job openings in Seattle, WA as of June 2026, with employment types broken down into 74% Full Time, 5% Part Time, and 21% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $118,119 per year, or $56.8 per hour.
Senior Analytics Engineer

Senior Analytics Engineer

Okta

Bellevue, WA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Job description

Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
The Global Data & Insights Team
Okta's Enterprise Data & Insights team powers the data infrastructure that drives decision-making across the company by building reliable pipelines, scalable data platforms, and production-grade data products. We partner closely with internal Data and Insights Analysts as well as external Okta Product teams to unlock business value through robust data architecture, efficient data movement, and the engineering foundations that make data trustworthy at scale.
The Senior Analytics Engineer, Enterprise Opportunity
We are seeking a Senior Analytics Engineer to support the Enterprise by building reliable, well-modeled, and trusted data for reporting, decision-making, and emerging AI use cases.
This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence.
You will partner closely with Finance, People and Company Operations stakeholders, Data Analysts, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows.
What you'll be doing
Data Modeling & Semantics
  • Design, build, and maintain scalable data models using dbt and Snowflake
  • Define and standardize core Finance, HR and Enterprise level metrics (e.g., revenue, ARR, billing, Attrition, Executive Insights, Security) with clear, governed logic
  • Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets
  • Contribute to a shared semantic layer that supports both analytics and AI use cases

AI-Ready Data & Snowflake Ecosystem
  • Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
  • Enable structured data foundations that support LLM-powered use cases, semantic querying, and intelligent applications
  • Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and trust

Data Quality, Governance & Trust
  • Implement robust testing, validation, and documentation practices in dbt
  • Ensure consistency across reports and dashboards through shared definitions and reusable models
  • Apply data governance best practices, including access controls, lineage, and auditability
  • Partner across teams to establish clear ownership and accountability for data assets

Collaboration & Delivery
  • Partner with Finance, Analysts, and cross-functional stakeholders to translate business needs into data solutions
  • Support self-service analytics by building intuitive, reusable datasets
  • Contribute to scalable data workflows that balance immediate business needs with long-term maintainability
  • Work within an agile environment, contributing to planning, prioritization, and continuous improvement

AI and Data Mindset
  • Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making
  • Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases
  • A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency
  • Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Enterprise analytics
What you'll bring to the role
  • 5-8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
  • Strong SQL skills and experience building analytics-ready data models
  • Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD
  • Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms
  • Solid understanding of data modeling principles, including dimensional modeling and semantic design
  • Ability to navigate highly ambiguous business challenges, translating vague, complex, or competing goals from executive stakeholders into clear, actionable, and robust data solutions
  • Experience translating business requirements into clear, maintainable data logic
  • Familiarity with SaaS metrics and Finance and People data (e.g., ARR, revenue recognition, billing, attrition etc.)
  • Experience with data quality, testing, and documentation best practices
  • Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus
  • Experience with BI tools such as Tableau or Looker
  • Strong communication skills and ability to work across technical and business teams

What you can look forward to as an Okta employee!
  • Amazing Benefits
  • Making Social Impact
  • Fostering Diversity, Equity, Inclusion and Belonging at Okta
  • Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.
Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.
Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.
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Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
The annual base salary range for this position for candidates located in the San Francisco Bay area is between:
$132,000-$182,000 USD
Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:
$118,000-$162,000 USD
The Okta Experience
  • Supporting Your Well-Being
  • Driving Social Impact
  • Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.