The Role
We're opening a remote Data Engineer role for an engineer fluent in Prompt Engineering and allergic to undocumented surprises. Set against the usual technology listings, this remote role at Property Technologies Inc stands out for one reason — it pays $88,000 - $125,000 and trusts you.
Key Responsibilities
- Sit with technology users in Stockton to learn what the MLOps tool really needs
- Build responsive, accessible front-end interfaces with Relationship Building
- Pull Vector Databases telemetry into dashboards Property Technologies Inc leaders actually open
- Keep Property Technologies Inc's Azure ML CI under ten minutes so Stockton, CA engineers stay in flow
- Translate a napkin idea from Property Technologies Inc founders into a Prompt Engineering craft-focused prototype
- Enhance test automation frameworks to increase release confidence
- Turn vague technology tickets into crisp, testable Azure ML acceptance criteria
What You'll Bring
- A growth mindset and openness to constructive feedback
- Strong working knowledge of Data Wrangling and Plotly
- The kind of curiosity that reads the docs before asking
- Practical command of Prompt Engineering, with bonus points for Plotly
- Willingness to relocate to Stockton, CA, or to make remote work
- Proven track record delivering results as a mid-level Data Engineer
- A collaborator who makes the mid-level review feel less like an exam
From a Stockton loft, Property Technologies Inc has built an unhurried reputation for solving technology problems others quietly gave up on. We trust the mid-level folks closest to the customer to make the call without a committee.
From the $88,000 - $125,000 starting line, expect coaching that grows your MLOps and benefits that quietly cover the rest of life.
Confirmed active this hour for the Stockton, CA crew, no waiting list.
The team in Stockton, CA is one strong Data Engineer away from complete, and that could be you.
Skills
- Azure ML
- MLOps
- XGBoost
- Data Wrangling
- Plotly
- Vector Databases
- Prompt Engineering
- Change Management
- Relationship Building
Benefits
- Structured 30-60-90 day plan
- Learning Stipend
- Volunteer Time Off
- Gas and mileage reimbursement
- Personal Days
- Ping Pong
- Family Leave
- Parental Leave
- Stock options
- Relocation Assistance
- Childcare subsidies