Data Engineer II, Analytics & Modeling
Core
Design, implement, test, and deploy scalable data systems and analytics models to build a secure digital identity platform connecting member attributes and qualifications.
Role type
Senior Data Engineer (Analytics & Modeling)
Builds
End-to-end data products from ingestion to visualization, including data pipelines, transformation processes, and analytics models.
Domain
Identity & Access Management / Big Data
Deliverable
production ML models | product features
Required skills
SQL, Python, Cloud services (AWS), Data pipeline orchestration (Airflow, Dagster, Luigi), Big data tools (Spark, Kafka, Snowflake, Databricks), Data visualization (Looker, Tableau), CI/CD tools (Github, Argo, Jenkins)
Preferred skills
Architectural decision-making, Mentoring, Autonomous problem solving
Technologies
Snowflake, dbt, Looker, AWS, Airflow, Spark, Kafka, Databricks, Github, Jenkins
Responsibilities
Build scalable data systems for self-service changes; Develop and maintain data pipelines for collection, cleaning, and transformation; Develop and implement data analytics models; Partner with stakeholders to uncover requirements and solve complex problems.
Seniority
Mid-Senior, hands-on IC
