Data Tool Stack Engineer
Core
Design, implement, and maintain on-premises and hybrid data tool stacks with a focus on Kubernetes-based environments, building scalable data ingestion, streaming, and integration solutions.
Role type
Senior IC Data Tool Stack Engineer
Builds
Modern data ingestion, streaming, and integration solutions; scalable data platforms; automated CI/CD pipelines.
Domain
Data Engineering / Cloud Infrastructure / DevOps
Required skills
Python, SQL, Kubernetes, Helm, CI/CD, ETL/ELT, PySpark, Apache Airflow, dbt, Kafka, MQTT, Debezium, Trino/Starburst, Grafana, Elasticsearch, OpenSearch, Networking (Nginx, VNets)
Preferred skills
Microsoft Azure, Databricks, Terraform, Infrastructure-as-Code, Agentic DevOps/AI agents
Technologies
Kubernetes, Helm, Kafka, MQTT, Debezium, PySpark, Apache Airflow, dbt, Trino, Starburst, Grafana, Elasticsearch, OpenSearch, Nginx, Azure, Databricks, Terraform
Responsibilities
Design and maintain on-premises and hybrid data tool stacks; Build and operate scalable data ingestion, messaging, and CDC solutions; Develop and orchestrate ETL/ELT pipelines; Integrate and operate distributed query engines; Establish and improve CI/CD pipelines; Design and support networking and connectivity concepts; Leverage AI agents for DevOps automation; Implement observability and logging solutions.
Seniority
Senior, hands-on IC
