Remote Data Engineer — ADF, Snowflake & Databricks

Slalom; Milwaukee (WI); On-site; USD 41,000 - 48,000; Full time

Job summary

Slalom is seeking a hands-on Data Engineer to design and optimize data pipelines in a modern EDW, leveraging Databricks, Snowflake, and Azure Data Factory. You will monitor production jobs, resolve incidents, and collaborate with global teams to ensure reliable data delivery.

The role requires 2–3 years in data engineering or production support, strong SQL, and experience with cloud ETL/ELT processes. This remote CST-hours position offers a consultant lifecycle with a project-based contract

Qualifications

• 2–3 years of experience in data engineering or production support.
• Strong SQL skills with data validation.
• Experience with cloud data platforms and ETL/ELT processes.
• Able to work in a fast-paced consulting environment.

Responsibilities

• Build and maintain data pipelines using ADF, Snowflake, and Databricks.
• Monitor and troubleshoot data jobs to meet SLAs.
• Collaborate with cross-regional teams and stakeholders.
• Document incidents, resolutions, and improvements.
• Apply agentic AI tools to improve operations.

Skills

SQL

Data pipelines

Problem solving

Independent work

Tools

Snowflake

Databricks

Azure Data Factory

Job description

Slalom is seeking a hands-on Data Engineer to design and optimize data pipelines in a modern EDW, leveraging Databricks, Snowflake, and Azure Data Factory. You will monitor production jobs, resolve incidents, and collaborate with global teams to ensure reliable data delivery.

The role requires 2–3 years in data engineering or production support, strong SQL, and experience with cloud ETL/ELT processes. This remote CST-hours position offers a consultant lifecycle with a project-based contract