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Senior Analytics Engineer Jobs in Bothell, WA (NOW HIRING)

Senior Analytics Engineer

Bellevue, WA ยท On-site

$117K - $161K/yr

They are seeking a Senior Analytics Engineer to build and evolve the enterprise semantic layer, transforming raw data into trusted models and analytics-ready datasets to support decision-making ...

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 ยท 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 ...

Senior Analytics Engineer

Bellevue, WA ยท On-site

$157K - $210K/yr

We're hiring a Senior Analytics Engineer to own analytics for the Machine Infrastructure Supply Chain team at CoreWeave. In this role, you'll build and evolve our enterprise semantic layer ...

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 ยท 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 ...

Senior Analytics Engineer

Seattle, WA ยท On-site

$176K - $220K/yr

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 Data Analytics Engineer

Seattle, WA

$120K - $163K/yr

Description If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data ...

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 ...

Agentic Analytics Engineer

Seattle, WA ยท 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 ...

Sr. Analytics Program Manager, MMPO

Bellevue, WA ยท On-site

$130K - $131K/yr

... technology and engineering muscle as our biggest advantage. We aim to leverage advanced ... We are looking for a Sr. Analytics Program Manager to be part of Middle Mile supply and routing ...

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

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Senior Analytics Engineer information

See Bothell, WA salary details

$66.5K

$141.5K

$205.1K

How much do senior analytics engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for senior analytics engineer in Bothell, WA is $141,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,800.00 and $160,400.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior Analytics Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and tools like Python or Spark, and working in high-demand industries or companies. Compensation varies based on location, company size, and individual expertise, often including bonuses and stock options.

What is a Senior Analytics Engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

What does a senior analytics engineer do?

A senior analytics engineer designs, develops, and maintains data pipelines and analytics solutions to support business decision-making. They work with large datasets, use tools like SQL, Python, or cloud platforms, and often collaborate with data scientists and business teams to ensure data accuracy and accessibility.

How much do senior analytics engineers make?

Senior analytics engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in data modeling, SQL, and analytics tools like Tableau or Looker, which can influence salary levels.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Senior Analytics Engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

What engineer makes $500,000 a year?

Senior Analytics Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and cloud platforms, and roles in high-paying industries or companies. Such compensation often includes base salary, bonuses, and stock options, typically in senior or executive-level positions.

How does a Senior Analytics Engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.
What are popular job titles related to Senior Analytics Engineer jobs in Bothell, WA? For Senior Analytics Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Senior Analytics Engineer jobs in Bothell, WA look for? The top searched job categories for Senior Analytics Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Senior Analytics Engineer jobs? Cities near Bothell, WA with the most Senior Analytics Engineer job openings:
Senior Analytics Engineer

Senior Analytics Engineer

CoreWeave

Bellevue, WA โ€ข On-site

$117K - $161K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Summary:
CoreWeave is The Essential Cloud for AIโ„ข, providing technology and tools for innovators to scale AI confidently. They are seeking a Senior Analytics Engineer to build and evolve the enterprise semantic layer, transforming raw data into trusted models and analytics-ready datasets to support decision-making across the company.
Responsibilities:
โ€ข Analyze inventory trends and generate reports to drive decision-making and support supply chain optimization.
โ€ข Monitor and maintain optimal inventory levels across the supply chain network, balancing service levels with working capital targets.
โ€ข Collaborate with demand planners and buyers to align inventory strategies with sales forecasts and promotional plans.
โ€ข Lead root cause analysis for inventory discrepancies, stockouts, overstock, and slow-moving items.
โ€ข Identify and implement process improvements related to inventory planning, replenishment, and warehouse efficiency.
โ€ข Develop KPIs and dashboards to track inventory accuracy, turns, cycle times, and other performance metrics.
โ€ข Support inventory reconciliation and cycle count programs in coordination with warehouse and finance teams.
โ€ข Assist with ERP system optimization, particularly related to inventory modules, safety stock parameters, and reorder points.
โ€ข Provide insights into inventory risk and obsolescence to support product lifecycle management.
Qualifications:
Required:
โ€ข 5+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence, with ownership of production analytics systems.
โ€ข 5+ years of hands-on experience modeling analytics-ready data using dbt with SQL and/or Python.
โ€ข Expert-level SQL, including writing, optimizing, and debugging complex analytical queries.
โ€ข Deep experience querying MPP analytical databases such as StarRocks, Snowflake, BigQuery, or Redshift.
โ€ข Strong experience with one or more modern BI tools (e.g., Omni, Tableau, Looker, Power BI), including building semantic models, reusable metrics, and executive dashboards to enable consistent, self-serve analytics.
โ€ข Hands-on experience orchestrating data pipelines with Airflow, Dagster, or equivalent.
โ€ข Working proficiency in at least one scripting language (e.g., Python, Bash, R, or Julia).
โ€ข Proven ability to translate complex data into trusted models, metrics, and visualizations used by senior stakeholders.
Preferred:
โ€ข Experience building and operating production data pipelines or data platforms, with strong software engineering practices (testing, CI/CD, code review).
โ€ข Deep hands-on experience with stream processing and transport systems (e.g., Flink, Kafka), including performance tuning and failure debugging.
โ€ข Familiarity with open table formats such as Iceberg, Hudi, Delta, or Paimon, including an understanding of how they impact data modeling, reliability, and analytics performance.
Company:
CoreWeave provides cloud infrastructure services designed to support artificial intelligence and high-performance computing workloads. Founded in 2017, the company is headquartered in Livingston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.