Analytics Engineer: Real-Time Compensation Data Pipelines

Pave; San Francisco (CA); Hybrid; USD 169,000 - 222,000; Full time

Benefits offered by this job

Health insurance

Flexible PTO

Meal stipends

Education stipend

Parental leave

Commuter stipend

Job summary

Pave's Data team is building a real-time compensation platform to empower thousands of customers with accurate pay decisions. You will extend data models, design scalable pipelines, and own observability as our dataset grows.

We seek a data/analytics engineer with 4+ years of experience, strong dbt and Airflow skills, and familiarity with cloud data warehouses to ship impactful data products and support ML workflows.

Qualifications

• Product mindset and ownership of data infrastructure
• Ability to design scalable data pipelines
• Experience shipping data products or infrastructure that impact business outcomes
• 4+ years in a Data/Analytics Engineering role; product-facing preferred
• Exposure to ML workflows and collaboration with data scientists

Responsibilities

• Extend and maintain core data models powering compensation intelligence products
• Design scalable data pipelines across the product suite with emphasis on Market Data
• Own data observability: monitoring, testing, and validation to maintain trust as data scales
• Collaborate with data scientists, PMs and engineers to translate product needs into insights
• Help drive millions of dollars of revenue growth

Skills

Product Mindset

Scalability

Bias for Action

4+ years exp

Exposure to ML workflows

Track record of impact

Tools

dbt

Airflow

Job description

Pave's Data team is building a real-time compensation platform to empower thousands of customers with accurate pay decisions. You will extend data models, design scalable pipelines, and own observability as our dataset grows.

We seek a data/analytics engineer with 4+ years of experience, strong dbt and Airflow skills, and familiarity with cloud data warehouses to ship impactful data products and support ML workflows.