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EVERSANA is a global commercialization services company serving the life sciences industry with 7,000+ employees across 650+ clients. We're seeking a Data Ingestion Engineer to join our data platform team, responsible for designing, building, and maintaining scalable, reliable data pipelines that power analytics and decision-making across the organization.
You will design and develop Snowflake-native data ingestion pipelines using Snowpipe, Snowpipe Streaming, Snow Tasks, and Snow Streams. Build automated, scalable processes to load batch and near-real-time data into Snowflake from diverse sources including APIs, databases, files, and cloud storage. Design and implement ELT workflows using Snowflake and dbt, integrating Azure Data Factory (ADF) for data movement and orchestration. Develop Python scripts and utilities for data ingestion, validation, automation, and integration.
Monitor and optimize pipeline performance, troubleshoot ingestion issues, and implement data quality checks, logging, alerting, and governance processes. Maintain technical documentation of data pipelines and workflows.
Required: 4+ years in data engineering, ETL development, or data integration. Strong hands-on experience with Snowflake, Snowpipe/Snowpipe Streaming, Azure Data Factory, and dbt. Proficiency in Python, SQL, and PostgreSQL. Experience building ETL/ELT pipelines with large data volumes, data modeling (star/snowflake schemas), and Git version control.
Preferred: API integration experience, Azure Blob Storage/Data Lake familiarity, exposure to AWS/GCP, understanding of data governance and cataloging tools.
