Senior Analytics Engineer, Full-stack
Join Hercules as a Senior Analytics Engineer to own the full data stack and drive AI software development.
Posted by employer 8 hours ago
First seen on Joblaze 4 hours ago
Last verified on the company career page 4 hours ago
Skills & Technologies
What you'll build
- Own our full data-stack
- Get data from 3rd party providers into our Data warehouse
- Clean and model our data
- Define and model our key business metrics
- Create dashboards and visualizations
Must have
- Strong experience modeling data with DBT
- Strong experience with at least one semantic layer modeling framework
- Strong understanding of the different ways to display data
Nice to have
- Experience with AI coding
Practical constraints
- Work in US time zones
- Travel to the office regularly
AI in the day-to-day
Able to truly 10x your workflow by being on frontier of AI coding.
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the Senior Analytics Engineer at Hercules is responsible for managing the entire data stack, including ETL processes, data modeling, and creating business intelligence dashboards. Key skills include expertise in DBT for data modeling, experience with semantic layer frameworks like Omni, and a solid foundation in software design and API development. This position is ideal for a senior professional with a strong analytical background who thrives in a fast-paced environment focused on excellence and innovation.
Joblaze insights
- Listed today — first seen on Joblaze October 5, 2026. Last confirmed on Hercules's careers page October 5, 2026.
- Salary band is below the typical range for Data Engineering roles (median ~$180,656).
- Starts at or below all 36 comparable senior data engineering roles in United States that list dbt we track (median $179,991 across 25 companies). See dbt salary trends
- dbt appears in 24% of 217 comparable senior data engineering roles in United States; Airbyte appears in 1.4% of 217 comparable senior data engineering roles in United States.
Quick facts
- Is the Senior Analytics Engineer, Full-stack role remote?
- It's hybrid — Hercules expects some on-site time in San Francisco, United States.
- What's the salary range?
- Hercules lists $100,000–$250,000 for this role.
- Where is the role based?
- Hercules is hiring for this position in San Francisco, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Airbyte, BigQuery, ClickHouse, Google Cloud Datastream, Omni, dbt.
- What seniority level is this role?
- Hercules targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Analytics Engineer, Full-stack role at Hercules.
From the original posting
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
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)
We ship. We ship fast, iterate, and correct mistakes quickly. Our bias for action speeds up our learning and delights our customers.
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
What’s the compensation?
$100k-$250k + equity (variable based on seniority, equity, and location)
Standard company text repeated across Hercules's postings is omitted here.