Salary guide
| Measure | Annual pay (USD) |
|---|---|
| 25th percentile | $186,000 |
| Median | $200,000 |
| 75th percentile | $214,000 |
| Lowest listing | $135,000 |
| Highest listing | $400,000 |
| Listings counted | 26 |
| Country | Currency | Listings | Median pay | Middle half |
|---|---|---|---|---|
| United States | USD | 20 | $200,000 | $186,000 to $213,000 |
We’re looking for an Analytics Engineer to build the data infrastructure, analytics, and automations that power decision-making and operations across Mercor.
Design, implement, and optimize end-to-end data pipelines for processing high-volume datasets using tools such as Spark, Kafka, and/or Flink. Develop quantitative models and statistical frameworks to support experimentation, forecasting, and performance measurement.
Zoox is seeking a high-agency, hands-on Lead Analytics Engineer to bridge the gap between our complex enterprise data sources and our AI-driven decision-making systems.
Pure Storage · 3mo ago
As a Data Scientist within the Hyperscale line of business, you’ll lead high-impact hardware and systems analytics initiatives, transforming rich telemetry from Everpure’s FlashArray and FlashBlade hardware and software into rigorous predictive models, causal insights, and…
We're looking for a Senior/Staff Analytics Engineer to join our growing Data team and lead the evolution of our Analytics Engineering platform.
As the Lead Analytics Engineer for GTM, you’ll be the first dedicated data hire for our go-to-market organization, reporting directly to the Head of Data.
In every other part of your life, you book in seconds. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need.
We’re growing our Data team and are looking for our first few key hires to build self-serve data tools and drive business strategy in the right direction.
The AI & DX (Developer Experience) Analytics team exists to measure and improve Block's developer experience and investment in AI.
You are not building pipelines. Ingestion, orchestration and latency belong to the data platform team, and they're good at it.
Shield AI · 1mo ago
The Staff Data & Analytics Engineer, Domain Enablement is a senior, hands-on role responsible for enabling complex business domains on Shield AI’s enterprise data platform.
We’re looking for a versatile Senior Analytics Engineer to partner closely with our Finance team in building the financial data foundation that drives decision-making at Harvey.
We’re looking for a versatile Senior Analytics Engineer focusing on Product to architect event data models that power decision-making at Harvey.
Our partner is looking for a Lead Analytics Engineer based in the United States. The Lead Analytics Engineer will architect and strengthen the shared data and analytics foundations that support decision-making across multiple business areas and international markets.
Covering GTM-wide strategy, operations and analytics, we are proactive, data-driven partners to leadership – providing critical insights, driving operational efficiency, and getting things done.
Be a key contributor and collaborator to the success of data quality, performance, reliability, and automation initiatives. Manage a portfolio of data products that deliver high-quality, trustworthy data.
Design, implement, and optimize end-to-end data pipelines for processing high-volume datasets using tools such as Spark, Kafka, and/or Flink. Develop quantitative models and statistical frameworks to support experimentation, forecasting, and performance measurement.
We sell two products with two funnels that behave nothing alike.
We work closely with Product, Engineering, Data Science, Go-to-Market, and Finance partners to turn complex data into financial insight that informs investment decisions, planning, and long-term growth.
Work across Product and GTM (Marketing, Sales, Customer Success, and Finance) to turn ambiguous questions and operational needs into useful metrics, models, analyses, and workflows.
CrowdStrike · 13d ago
We're hiring a Product Analytics Engineer for CrowdStrike's Product Insights team. Our team designs, builds, and maintains the analytics data systems that power the award-winning Falcon Console.
The Senior Analytics Engineer will help build the reusable analytical models, tools, and systems to power decisions across Temporal. This role reports to the Director of Data Engineering and Analytics.
Own the dbt models and data marts that power Marketing analytics, activation, and reporting. Build, validate, and productionize predictive models (lead scoring, LTV, channel attribution, propensity) in partnership with Marketing and GTM stakeholders.
Design and build scalable data pipelines and business-conformed dimensional data marts in collaboration with Data Science, Engineering, Product, and Operations departments. Support the development and adoption of agentic tooling.
The Founder’s Office is a unique and high visibility team whose work spans the entire business, so our Data and Analytics arm presents an opportunity for high ownership, visibility, and impact across the entire company.
The median Analytics Engineer salary in our $200k+ listings is $200,000 a year, based on 26 live USD listings. The middle half of listings pays $186,000 to $214,000. These figures cover only listings that publish a salary of $200k+ or more, so they sit above pay for Analytics Engineer roles overall.
Individual $200k+ Analytics Engineer listings range from $135,000 to $400,000 a year. The 25th percentile of listing midpoints is $186,000 and the 75th percentile is $214,000.
The companies with the most open $200k+ Analytics Engineer listings are xAI (2 listings, median $219,000), Block (2 listings, median $205,000), Decagon (2 listings, median $195,000) and Harvey (2 listings, median $195,000).
The figures come from the salary ranges employers publish in their own job listings, collected from company career pages and applicant-tracking systems. Each listing counts once, at the midpoint of its range. Only USD listings go into the headline figures, and listings that are closed or stale are removed. The data was last refreshed on November 12, 2026.
Yes. Each listing is tagged remote, hybrid or on-site, and remote roles carry a region (US only, EMEA, APAC or global), so you can filter the live job list to the arrangement you want.
United States
Palo Alto, Canada
