Senior Analytics Engineer, Full-stack

Posted Yesterday
2 Locations
In-Office or Remote
100K-250K Annually
Senior level
Hardware • Information Technology
The Role
Own Hercules’ full data stack, including ETL from third-party providers into BigQuery, data modeling with dbt and medallion architecture, semantic-layer metric definition, and self-service business intelligence in Omni. Build reliable, maintainable systems and dashboards while applying strong software architecture, API design, code quality, and AI-assisted development practices.
Summary Generated by Built In

What are we looking for?

Hercules is looking for a senior analytics and full-stack engineer to help us build the future of AI software development

 

What will you do?

You will own our full data-stack:

  • ETL: Get all of our data from 3rd party providers (like Stripe, Meta ads, our operational database etc) into our Data warehouse (BigQuery)

  • Data modeling: Clean and model our data for. We currently use DBT and the medallion architecture

  • Semantic layer modeling: Define and model our key business metrics, make sure they are modeled 100% accurately

  • Business intelligence: Create dashboards and visualizations that our company will use every day. We use Omni for Business Intelligence. Your goal is to make Omni as self serve as possible for our entire company

 

What skills do we expect you to have?

We expect candidates to be incredibly strong across all of the following areas:

  • Software fundamentals: system design, architecture, data modeling, and API design

  • Code and codebase quality: write clean, maintainable code. Work effectively in monorepos

  • Data modeling: Strong experience modeling data with DBT or another declarative data modeling framework

  • Semantic layers: Strong experience with at least one semantic layer modeling framework like Omni, Looker, etc

  • Business intelligence: Strong understanding of the different ways to display data for easy consumption

  • AI: able to truly 10x your workflow by being on frontier of AI coding

 

What’s Hercules’ data stack?

  • ETL: Airbyte, Google Cloud Datastream

  • Data warehouse: BigQuery, Clickhouse

  • Data modeling: DBT

  • Semantic layer and Business Intelligence: Omni

(We are not tied to any of these)

 

What are Hercules’ operating principles?

Hercules’ operating principles guide how we make decisions every day. We take them very seriously. Most of the principles can be learned on the job, however, we do specifically filter for the following principles in our hiring process:

  1. We ship. We ship fast, iterate, and correct mistakes quickly. Our bias for action speeds up our learning and delights our customers.

  2. We strive for excellence. Doing things well is in our DNA. We have good taste. We get the details right. Our outputs are exceptionally simple and self-serve. We’re proud of our work.

  3. We are hungry. We are willing to work hard and break through walls to achieve the outcomes we want. We are willing to operate at any level to get things done.

 

Is Hercules in-office or remote?

Hercules founding team works in-office in San Francisco (Kearny and Bush). We have a very strong preference for in office. We are open to remote for exceptional candidates who are willing to 1) work in US time zones and 2) travel to the office regularly.

 

What are Hercules’ benefits?

  • Unlimited AI token budget

  • Take what you need vacation policy

  • Healthcare, vision, and dental

  • Daily lunches, dinners and snacks in the office

  • We guarantee you will do the best work of your career here

 

What’s the compensation?

$100k-$250k + equity (variable based on seniority, equity, and location)

Skills Required

  • Strong software fundamentals, including system design, architecture, data modeling, and API design
  • Ability to write clean, maintainable code and work effectively in monorepos
  • Strong experience modeling data with dbt or another declarative data modeling framework
  • Strong experience with a semantic-layer modeling framework such as Omni or Looker
  • Strong understanding of business intelligence and effective data visualization
  • Ability to significantly improve workflow through frontier AI coding tools
Am I A Good Fit?
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The Company
5,116 Employees
Year Founded: 1912

What We Do

For over 30 years, we have focused on innovating and developing digital audio solutions which continue to inspire users with endless new possibilities. We constantly draw on our roots in analog audio, in order to offer cutting-edge devices, celebrated for their precision and sound quality.

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