Mid Data Engineer
Core
Design and maintain scalable ETL/ELT pipelines, optimize data models, and implement data quality controls for Snowflake and MongoDB.
Role type
Mid-level data engineer
Builds
Data pipelines, data models, and reliable data solutions for analysts and product teams
Domain
Data engineering, cloud data platforms
Deliverable
production ML models
Required skills
Snowflake, MongoDB, SQL, Python, dbt, ETL/ELT, Data Modeling, Data Warehousing, CI/CD, Data Observability
Preferred skills
Snowpark, Snowflake Cortex, DevOps tools, DORA metrics, AI/ML data preparation
Technologies
Snowflake, MongoDB, Airflow, Informatica, Talend, Fivetran, Jenkins, SonarQube, GitHub, GitLab, Jira, Power BI, Tableau
Responsibilities
Design and maintain scalable ETL/ELT pipelines integrating data from APIs, databases, event logs, and AI development platforms; Develop and optimize Snowflake data models and MongoDB structures; Implement data quality checks, observability, lineage tracking, monitoring, and security controls; Automate deployments through CI/CD and infrastructure-as-code
Seniority
Mid-level, hands-on IC
