Senior Data Analytics Developer
Core
Design core data models and shared datasets powering product reporting, customer insights, machine learning, and AI agents; build and scale reliable data pipelines processing hundreds of millions of events daily.
Role type
Senior Data Analytics Developer (Data Engineering)
Builds
Production data pipelines, data models, and AI agent query capabilities
Domain
SaaS / Data Engineering / Cloud Data Platforms
Deliverable
production ML models
Required skills
Python, dbt, Snowflake, Databricks, SQL, ETL, Data Warehousing, Data Lake architecture, Automated testing frameworks, AWS
Preferred skills
PySpark, Structured Streaming, Workflow orchestration (Airflow, Dagster, Prefect), Infrastructure as Code, CI/CD tools, Containerization
Technologies
Snowflake, Databricks, dbt, Python, PySpark, AWS, Airflow, Dagster, Prefect, Jenkins, Github Actions
Responsibilities
Design batch and streaming transformations for incremental data models; build and maintain pipelines with tests and monitoring; take ownership of complex data engineering initiatives to improve reliability and performance; build AI agents that query data models directly.
Seniority
Senior, hands-on IC
