Mid Data Engineer
Core
Design, build, and operate scalable ETL/ELT pipelines ingesting AI, DevOps, API, database, event, and log data into Snowflake and MongoDB.
Role type
Mid-level data engineer
Builds
Scalable data pipelines, data models, and analytics dashboards
Domain
Data engineering, cloud data platforms
Deliverable
production ML models
Required skills
Snowflake, dbt, MongoDB, ETL/ELT, SQL, CI/CD, Data Observability, Power BI, Tableau, AI-Assisted Development
Preferred skills
DevOps tools (Jenkins, SonarQube, Jira), Incident triage, Business requirement translation
Technologies
Snowflake, MongoDB, dbt, Power BI, Tableau, GitHub Copilot, Codex, Claude Code, Cursor, Jenkins, SonarQube, Git, Jira
Responsibilities
Design and manage MongoDB collections, schemas, indexes, and aggregation pipelines; Implement data observability, quality checks, lineage, and security controls; Partner with analytics and product teams to deliver reliable data products.
Seniority
Mid-level, hands-on IC
