Backend Data Engineer
Core
Design, build, and maintain scalable data pipelines, models, and backend data infrastructure using modern data platforms and AI-assisted tools.
Role type
Senior Backend Data Engineer
Builds
Scalable data pipelines, transformation workflows, workflow orchestration, and internal data applications
Domain
Data Engineering / Cloud Data Platforms
Deliverable
production ML models
Required skills
dbt, SQL, data modeling, data pipelines, Snowflake, Databricks, workflow orchestration, GenAI development tools
Preferred skills
Python, REST APIs, backend service development, Streamlit
Technologies
dbt, Snowflake, Databricks, Streamlit, Cursor, Codex, Claude Code (via careerplan.io/jobs/8ceb0905-6d30-459f-b37f-63c557471b56-backend-data-engineer-at-globaldev-group)
Responsibilities
Design and build scalable data pipelines and backend infrastructure; Develop and optimize transformation workflows; Build and manage workflow orchestration; Create internal data applications and tooling; Collaborate with Data Product Managers to translate requirements into technical solutions; Adopt GenAI tools to accelerate engineering workflows.
Seniority
Mid-level, hands-on IC
