Data Engineer: Snowflake & Databricks on Azure (Hybrid)

FinTrust Connect; Chicago (IL); Hybrid; USD 117,096 - 227,304; Full time

Job summary

A financial services technology firm in Chicago is seeking a Data Engineer to design and optimize pipelines and models using Snowflake and Databricks. This role requires 5 to 8 years of data engineering experience, particularly with Azure, as well as a strong understanding of ELT processes. The position offers flexibility to work hybrid or remote across the US, with compensation ranging from $85 to $165 per hour depending on experience.

Qualifications

• 5 to 8 years in data engineering with Azure or multi-cloud experience required.
• Experience with Databricks PySpark and Delta.
• Familiarity with Snowflake performance optimization and RBAC.

Responsibilities

• Design and optimize data pipelines and models on Databricks and Snowflake.
• Build secure and reliable ELT processes for regulated workloads.
• Partner with platform teams to improve cost and reliability.

Skills

Data engineering

Databricks

Snowflake

Azure Data Factory

PySpark

SQL Server integration

Job description

A financial services technology firm in Chicago is seeking a Data Engineer to design and optimize pipelines and models using Snowflake and Databricks. This role requires 5 to 8 years of data engineering experience, particularly with Azure, as well as a strong understanding of ELT processes. The position offers flexibility to work hybrid or remote across the US, with compensation ranging from $85 to $165 per hour depending on experience.