Remote Analytics Engineer - Real-Time Pay Data & ML Insights

Trov; San Francisco, Northern (CA, KY); Hybrid; USD 169,000 - 222,000; Full time

Benefits offered by this job

Health coverage

Flexible PTO

Meal stipends

Education stipend

Parental leave

Commuter stipend

Job summary

Pave is building the industry’s leading compensation platform, blending real-time data with AI. The Data Team supports thousands of customers by improving the data that powers compensation decisions. You’ll own data models, build scalable pipelines, and ensure trust in our growing dataset.

Join a hybrid culture with collaboration across data science, product, and software engineering. Equity, top-tier health coverage, and growth opportunities await in a fast-moving, data-driven environment.

Qualifications

• 4+ years of experience in a Data/Analytics Engineering role, ideally in a product-facing capacity.
• Proficiency with dbt and Airflow.
• Familiarity with cloud data warehouses.

Responsibilities

• Extend and maintain core data models powering Pave's compensation intelligence products.
• Design scalable data pipelines across our product suite, with an emphasis on Market Data.
• Own data observability by implementing monitoring, testing, and validation frameworks that maintain trust in our dataset as it scales.
• Collaborate cross-functionally with data scientists, product managers and software engineers to translate product needs into insights that supported our thousands of customers.
• Help drive millions of dollars of revenue growth.

Skills

Product Mindset

Scalability

Bias for Action

Experience 4+ yrs in Data/Analytics

ML workflows exposure

Impact driven

Tools

dbt

Airflow

Cloud data warehouses

Job description

Pave is building the industry’s leading compensation platform, blending real-time data with AI. The Data Team supports thousands of customers by improving the data that powers compensation decisions. You’ll own data models, build scalable pipelines, and ensure trust in our growing dataset.

Join a hybrid culture with collaboration across data science, product, and software engineering. Equity, top-tier health coverage, and growth opportunities await in a fast-moving, data-driven environment.