Data Engineer Sr.
Core
Designing, implementing, and evolving the data ingestion, processing, and availability platform to support strategic decisions and product development across the company.
Role type
Senior Data Engineer
Builds
Data ingestion pipelines, distributed processing workflows, and analytical datasets
Domain
HealthTech / EdTech
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Airbyte, Databricks, PySpark, SQL, Python, data modeling, CI/CD, cloud environments (AWS/GCP)
Preferred skills
Performance optimization, technical leadership
Technologies
Airbyte, Databricks, PySpark, SQL, Metabase, AWS, GCP
Responsibilities
Design and maintain data ingestion and transformation pipelines; Manage end-to-end data workflows including orchestration and monitoring; Create data ingestion processes from relational databases, APIs, and third-party integrations; Build transformations and analytical models using PySpark and SQL; Support analytics teams in building semantic layers and data availability; Ensure pipeline monitoring, versioning, and quality; Act as a technical reference for data architecture and engineering best practices
Seniority
Senior, hands-on IC
