prefect
prefect24d ago
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Senior Analytics Engineer

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Data EngineerData
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Quick Summary

Key Responsibilities

Own the go-to-market data model. One definition of an account. One definition of an activated workspace. One definition of pipeline. Version controlled, tested, documented, and deployed by you.

Requirements Summary

Must have Four or more years building analytics models in dbt on a cloud warehouse, owned in production with tests, CI, and version control. Strong SQL,

Technical Tools
Data EngineerData

Prefect builds automation for an unpredictable world. The last decade of automation was about protecting workflows from unpredictability; in the agentic era, unpredictability is the point. Our mission is to give people confidence in automated work, whether that work is a mission-critical data pipeline or a fleet of AI agents.

In August 2026, Prefect and Dagster, competitors for eight years, joined forces to build the next generation of automation infrastructure. Today, our ecosystem includes Dagster, the data platform; Prefect, the agent platform; and FastMCP, the leading open-source developer framework for the MCP ecosystem. Together, our open-source and commercial products are trusted by Fortune 500 companies, data innovators, and high-growth technology companies around the world.

We think of our culture as the operating system of the company. We’ve carefully created a supportive, high-performance environment that empowers our team to do the best work of their careers, have meaningful impact, and continue growing personally and professionally. We’re a remote-first team that values high standards, ownership, and thoughtful collaboration.

We sell two products with two funnels that behave nothing alike. Prefect Cloud and Dagster+ both start with someone running an open source tool on their laptop, and both end either in a self-serve credit card or in a sales conversation with a Fortune 500 data platform team. Between those two points sits our go-to-market data: product telemetry in Amplitude, the warehouse, Salesforce, campaign and channel spend, community signals, and an uncomfortable number of different systems and touch points.

You will own the analytics and data modeling for GTM that describe how someone gets from first touch to activated user to paying customer, across both self-serve and sales. You will report to Gabriel Madureira, our Chief Growth Officer, and work day to day with marketing, sales, RevOps, and product.

Responsibilities

~1 min read
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Requirements

~1 min read
  • Four or more years building analytics models in dbt on a cloud warehouse, owned in production with tests, CI, and version control.

  • Strong SQL, plus enough Python for the parts SQL is bad at: API pulls, spend data, one-off enrichment.

  • Experience building and maintaining a semantic layer in Omni, Looker, or something comparable. We care that you have modeled metrics for other people to use, not that you have built dashboards.

  • Direct work with go-to-market teams on funnel conversion, attribution, and unit economics like CAC, payback, and ROI, using real CRM data from Salesforce or HubSpot.

  • Prior knowledge of GTM systems like Salesforce, Amplitude, Segment, Hubspot.

  • A product-led or self-serve business: activation, trial conversion, PQLs, usage-based revenue.

  • A background in engineering or data, meaning you write code, read other people's code, and deploy your own work.

  • Comfort with AI-native development.

Nice to Have

~1 min read
  • Product analytics tools, especially Amplitude.

  • Developer tools or open source, where the funnel starts with a pip install and the top of it is a community rather than a lead list.

  • San Francisco Bay Area & NYC Metro: $173,000–$222,000

  • Washington D.C., Boston, LA Metro, Seattle: $162,000–$201,000

  • Denver, Chicago, Atlanta, & all other U.S. metros: $154,000–$200,000

Actual base salary within each range depends on the candidate's location, experience, and qualifications. Equity and benefits are not included in the range above. Your recruiter can share more about the salary range for your preferred location during the hiring process.

What We Offer

~1 min read
✓Remote-first team with flexible-first culture
✓Equity Stock Options
✓401(k) with 5% company match (vests immediately!)
✓Unlimited PTO
✓Medical, Dental and Vision insurance
✓Generous Parental Leave
✓Life Insurance and Disability benefits
✓$800/month remote work stipend

Belongingness at Prefect is our commitment to ensuring mutual power, access, and opportunity among all groups and individuals who make up our community. We operationalize belongingness through actions large and small on a daily basis, but always with the goal that all groups and individuals can contribute as their most authentic self to the evolution of our product, our team, and our community.

Belongingness is also our commitment to bridge with individuals or groups not yet established in our community, acknowledge differences in a way that affirms distinct identities, and allows for a new, more expansive group identity to form.

Prefect is an equal opportunity employer and encourages applications from people of all backgrounds. All applicants will be considered for employment without attention to race, religion, color, sex (including pregnancy, sexual orientation and gender identity/expression), national origin, disability or any other status protected under applicable federal, state, or local laws.

Delaney is a real live person (👋🏻) and is looking forward to learning more about you through your application.

Location & Eligibility

Where is the job
Worldwide
Fully remote, anywhere in the world
Who can apply
Same as job location

Listing Details

Posted
September 2, 2026
First seen
September 25, 2026
Last seen
September 26, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
27%
Scored at
September 26, 2026

Signal breakdown

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prefectSenior Analytics Engineer