Senior Data Engineer
Core
Building and maintaining scalable data infrastructure, ingestion streams, and data warehouse pipelines to support business decision-making.
Role type
Senior Data Engineer / Data Ops
Builds
Data ingestion workflows, DWH pipelines, and data platform infrastructure
Domain
SaaS / Modern Data Stack
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Data engineering, data ingestion, data warehouse management, infrastructure management, orchestration, data modeling, testing data reliability, monitoring pipelines
Preferred skills
Big data warehouse projects, modern data stack components, DevOps management technologies, data engineering best practices
Technologies
Kafka, Airflow, Dagster, DBT Core, BigQuery, Lambda functions, Kubernetes, Google Cloud, ArgoCD, Terraform, PostgreSQL, Aiven Kafka Connect, Strimzi, Debezium, DBT cloud, Go, Cypress, JavaScript, shell script
Responsibilities
Own data ingestion streams from client DBs to BigQuery; manage and improve overall data platform infrastructure; write and optimize DWH pipelines; collaborate with R&D and DevOps teams on infrastructure decisions
Seniority
Senior, hands-on IC
