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# Senior Data Engineer (Databricks & Snowflake )

- **Company:** PROLIM Global Corporation
- **Location:** Springfield, IL, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Airflow, Microsoft Azure, Big Data, Cloud Computing, Cloud Database, Information Systems, Databases, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Dimensional Modeling, Github, Python (Programming Language), Systems Development Life Cycle, Power BI, Data Mesh, SQL Databases, Tableau (Software), Azure Service Bus, Scripting, Azure Data Factory, Great Expectations (Foster Youth College-readiness and Support Program), Snowflake, Apache Spark, Git, Microsoft Fabric, Data Lakes, Pyspark, Information Technology, Star Schema, Apache Kafka, Data Management, Machine Learning Operations, Terraform, Azure Synapse Analytics, Looker Analytics, Data Pipelines, Databricks
- **Published:** October 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-databricks-snowflake-il--5c29b724-e620-410d-9ab1-eb5b4ac47000

## About the Role

Snowflake Schema, Snowflake Schema, Scalable System Development, Cloud Computing, Data Management, Data Modeling, Data Warehousing, Database Extract Transform and Load (ETL), Python Programming/Scripting Language, SQL (Structured Query Language), * 10+ years of Data Engineering experience.

 * Mandatory: Strong production experience with Databricks and Snowflake.
 * Expert Python, SQL, PySpark, and Apache Spark.
 * Strong experience with Delta Lake, Unity Catalog, ETL/ELT, and Data Modeling.
 * Experience with SCD Type 2, dimensional modeling, and cloud data warehousing.
 * Experience with Airflow/Azure Data Factory/Prefect.
 * Strong Git and CI/CD experience.

Preferred

 * Kafka, Event Hubs, or Kinesis.
 * dbt, Terraform, Power BI/Tableau/Looker.
 * Data Mesh/Data Fabric.
 * Databricks certification or MLflow/MLOps experience.

Education: Bachelor's/Master's degree in Computer Science, Information Systems, Engineering, or related field.

## Description

We are seeking a Senior Data Engineer with 10+ years of experience and strong production-level expertise in Databricks and Snowflake. The candidate will design and develop scalable data pipelines, cloud data warehouse solutions, and data models for enterprise analytics., * Design and optimize ETL/ELT pipelines using Databricks, PySpark, Python, SQL, and Delta Lake.

 * Develop and maintain Snowflake/Azure Synapse data warehouse solutions, including fact/dimension tables and star schemas.
 * Build logical and physical data models and implement SCD Type 2 and dimensional modeling.
 * Optimize Spark jobs, SQL queries, partitioning, and large-scale data processing.
 * Implement data quality, governance, monitoring, and lineage using Great Expectations/Unity Catalog.
 * Develop workflows using Airflow, Azure Data Factory, or Prefect.
 * Implement CI/CD using Azure DevOps/GitHub Actions, Git, and Terraform.
 * Collaborate with architects, analysts, product managers, and engineering teams to deliver scalable data solutions.