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Artifintech in Chicago is seeking a senior data engineer to design and optimize Snowflake-based data warehouses, develop ETL/ELT pipelines, and ensure scalable data integrations across cloud platforms.
You will build complex SQL, implement Snowflake features like Streams, Tasks, and Stored Procedures, and collaborate with analytics teams to drive data-driven decisions.
US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
This role focuses on building and optimizing modern cloud-based data warehouse solutions using Snowflake. The ideal candidate will have strong expertise in SQL, Snowflake architecture, data pipeline development, and cloud data integration, with the ability to handle large-scale enterprise data environments.
Strong hands-on experience with Snowflake data warehouse architecture.
Advanced proficiency in SQL and SnowSQL.
Experience with Snowflake Streams, Tasks, and Stored Procedures.
Knowledge of Snowflake virtual warehouses and query performance optimization.
Familiarity with Python, Snowpark, and scripting.
Experience with AWS, Azure, or Google Cloud Platform.
Knowledge of data modeling, dimensional modeling, and database design.
Experience with tools such as Informatica, Matillion, dbt, or Fivetran.
Understanding of data security, role-based access control, and data governance.
Design, develop, and maintain scalable data warehouse solutions in Snowflake.
Build and optimize complex SQL queries, views, and stored procedures.
Develop ETL/ELT pipelines to integrate data from multiple source systems.
Configure Snowflake Streams and Tasks for automated data processing.
Monitor warehouse performance and optimize query execution.
Implement data validation, quality checks, and reconciliation processes.
Integrate Snowflake with cloud storage and external data platforms.
Manage data access, security policies, and user permissions.
Collaborate with data engineers, architects, and analytics teams.
5–8 years of experience in data engineering or data warehouse development.
3+ years of hands-on experience working with Snowflake.
Strong expertise in SQL, data transformation, and query optimization.
Experience building enterprise-scale ETL/ELT workflows.
Practical knowledge of cloud platforms and data integration tools.
Experience handling large datasets and complex data migration projects.
Strong analytical, troubleshooting, and problem-solving abilities.
Bachelor's degree in Data Engineering, Computer Science, Information Systems, or Applied Mathematics.
Graduate-level coursework in Data Architecture, Cloud Computing, or Database Systems is an advantage.
SnowPro Core or SnowPro Advanced certifications are preferred.
Certifications in AWS, Azure, dbt, or cloud data engineering are beneficial.
Relevant hands-on experience delivering Snowflake data warehouse projects is highly valued.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.