Senior Data Engineer
Core
Own and evolve data platforms, pipelines, and analytical foundations to transform complex, multi-source data into reliable, business-ready datasets.
Role type
Senior Analytics/Data Engineer
Builds
Scalable data pipelines, analytical data models, semantic layers, and reporting domains
Domain
Data Engineering / Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Expert-level SQL, Python, dbt, analytical data modeling, batch and streaming data processing, data orchestration, API integration, BI tooling, AWS services, CI/CD practices
Preferred skills
Data governance and lineage tools, Infrastructure as Code (IaC)
Technologies
Snowflake, ClickHouse, Fivetran, Airbyte, PeerDB, Prefect, Looker, QuickSight, Grafana, AWS (S3, ECS/Fargate, SNS/SQS), Git/GitHub, GitHub Actions
Responsibilities
Design, build, and maintain scalable data pipelines and analytics architecture; Develop reliable analytical data models; Define and own key business metrics and semantic layers; Ensure high data quality and reliability; Partner with product, operations, finance, and GTM teams; Manage and optimize data pipeline orchestration; Lead end-to-end ownership of major reporting domains; Mentor junior team members; Participate in incident response and post-mortems
Seniority
Senior, hands-on IC with mentorship responsibilities
