At UpSmith, we’re building autonomous AI agents for trades companies (HVAC, plumbing and electrical home services) to turn data into revenue so their teams win and workers flourish.
Our machine learning models pinpoint the best opportunities, then communicate with homeowners through 1:1 personalized customer interactions at scale, freeing up humans to do what they do best – providing amazing service while building meaningful relationships.
We are growing quickly in a $500B+ market with backing from a16z, Asymmetric, Hannah Grey, GSV, and other leading investors.
About the Role
We’re looking for a senior data engineer to build and scale the data infrastructure powering our AI products that solve real-world problems serving middle America. As part of the engineering team at UpSmith, you’ll get the chance to own data pipelines and infrastructure and user-facing reporting solutions end-to-end, enabled by our core values of being an owner, winning with speed, and acting with courage.
Requirements
Belief in the dignity of work and our mission to tackle U.S. skilled workforce shortages
4+ years of industry experience in data engineering
Developed, scaled and monitored data pipelines for ingestion, enrichment and storage
Deployed, managed and optimized machine learning models in production is a plus
Proficiency in Python and distributed data processing solutions (AWS Redshift, dbt, Snowflake)
Experience in data modeling and query optimization in SQL and NoSQL
Able to navigate ambiguity with little coaching, prizing action over inaction
Comfortable operating with both an “in the clouds” and “in the weeds” mindset
Adaptable, with understanding that software development is a team sport
Willingness to mentor and be a coach
Our Values
Be an owner. Raise the bar and take pride in the work.
Speed wins. Execute efficiently and with bias to action.
Act with courage. The fastest way to right is trying and getting it wrong.
Build it simple. The direct way is (most often) the best way.
Customers come first. Deliver magic for the people we serve.
Compensation
Competitive cash ($170-$200K base) and equity (18-36 BPS)
Medical, dental, vision benefits; opp’ts for professional growth and follow on awards
UpSmith is an equal opportunity employer. This description is intended to convey information essential to understanding the scope of the position and is not intended to be an exhaustive list of skills, efforts, duties, responsibilities, or working conditions associated with it. UpSmith reserves the right to modify, add, or remove any parts of this job spec.
Skills Required
- Belief in the dignity of work and alignment with company mission
- 4+ years of industry experience in data engineering
- Developed, scaled, and monitored data pipelines for ingestion, enrichment, and storage
- Deployed, managed, and optimized machine learning models in production
- Proficiency in Python and distributed data processing solutions (AWS Redshift, dbt, Snowflake)
- Experience in data modeling and query optimization in SQL and NoSQL
- Ability to navigate ambiguity with little coaching and bias to action
- Comfortable working both at high-level (cloud) and detailed (implementation) levels
- Adaptable team player who understands software development is collaborative
- Willingness to mentor and coach others
What We Do
UpSmith combats skilled worker shortages by developing technology to maximize workforce productivity, starting with a product to help employers source, screen, train, and deploy new technicians in under 90 days.
