Data Engineer
Core
Design, build, and maintain scalable data infrastructure and reliable data pipelines powering analytics, reporting, and operational decision-making.
Role type
Data Engineer
Builds
Cloud data warehouses, ETL/ELT pipelines, real-time streaming systems, and analytics-ready datasets
Domain
Cloud data engineering and data infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Scala, cloud data warehousing (Snowflake, BigQuery, Redshift), ETL/ELT, workflow orchestration (Airflow, Prefect, Dagster), data modeling, data quality/governance, streaming platforms (Kafka, Kinesis, Pub/Sub), containerization (Docker), Kubernetes, CI/CD
Preferred skills
Experience with GDPR/HIPAA compliance frameworks, Tableau/Looker/Power BI integration
Technologies
Python, SQL, Scala, Snowflake, BigQuery, Redshift, Airflow, Prefect, Dagster, Kafka, Kinesis, Pub/Sub, Docker, Kubernetes, dbt, Great Expectations
Responsibilities
Build and optimize ETL/ELT pipelines; Manage and optimize cloud data warehouses; Implement data validation, anomaly detection, and monitoring; Build real-time data pipelines; Partner with analysts and stakeholders to deliver datasets; Automate data workflows and infrastructure provisioning
Seniority
Mid-level, hands-on IC
