Analytics Engineer
Analytics Engineer responsible for extending core data models, designing scalable pipelines focused on market data, and owning data observability for Pave's compensation intelligence products. Requires 4+ years in data/analytics engineering, proficiency in dbt and Airflow, and experience with ML workflows in a product-facing role.
About the job
What You'll Do
- Extend and maintain core data models that power Pave's compensation intelligence products
- Design scalable data pipelines that support production use cases 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
What You'll Bring
- Product Mindset: You want to be a core contributor in building and maintaining the data infrastructure for a product. You intuitively understand how decisions made within the data pipeline affect the user experience downstream.
- Scalability: You design and implement systems that are robust and scalable, ensuring they can efficiently handle future growth and evolving use-cases.
- Bias for Action: You’re a catalyst and an accelerator. You’re constantly unblocking yourself and others while making strategic trade-offs.
- Experience: 4+ years of experience in a Data/Analytics Engineering role, ideally in a product-facing capacity. Proficiency with dbt and airflow, and familiarity with cloud data warehouses.
- Exposure to ML workflows: you've collaborated with data scientists or machine learning engineers to transform features, create training data sets, and deploy and monitor models
- Track record of impact: you've shipped data products or infrastructure that meaningfully improved business outcomes and end user experiences
Compensation & Benefits
Your total rewards package includes meaningful equity, best-in-class medical, dental, and vision coverage, unlimited PTO, and region-specific benefits designed around your life. Your level and compensation are determined by your experience and how you show up throughout the interview process.
- Comprehensive medical, dental, and vision coverage for you and your family
- Flexible PTO and the freedom to work from anywhere in the world for up to a month
- Lunch and dinner stipends plus fully stocked kitchens
- Quarterly education stipend
- Robust parental leave
- Commuter stipend
Skills
dbt, Airflow, Data Pipelines, Data Modeling, Data Observability, Cloud Data Warehouses, Ml Workflows, Data Infrastructure
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