Senior Analytics Engineer, Full-stack
At a glance
Senior Data Analysis & BI role at Hercules. San Francisco · full-time · $100,000–$250,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Bring data from providers such as Stripe and Meta ads, along with operational systems, into the warehouse
- Use DBT and a medallion approach to clean and structure warehouse data
- Define business metrics in the semantic layer and keep their calculations accurate
- Build everyday dashboards in Omni and make them usable across the company
What you bring
- Strong grounding in system design, architecture, data modeling and API design, plus clean code and monorepo work
- Hands-on data modeling with DBT or another declarative framework, and experience with a semantic layer such as Omni or Looker
- A solid grasp of clear data presentation and the ability to use frontier AI coding tools to accelerate your work
Who this fits
This senior role suits someone who can work across data pipelines, modeling, metrics and company-wide BI. Hercules strongly prefers office work in San Francisco; remote candidates must work US time zones and travel to the office regularly.
From the employer
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:
We ship. We ship fast, iterate, and correct mistakes quickly. Our bias for action speeds up our learning and delights our customers.
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.
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)
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