Remote Night-Shift Data Engineer (Snowflake/Databricks)

Slalom; Minneapolis (MN); On-site; USD 62,000 - 73,000; Full time

Job summary

Slalom is seeking a hands-on Data Engineer for the Enhance & Operate team. This remote role supports a modern Databricks + Snowflake + Azure Data Factory EDW ecosystem, focusing on building and improving data pipelines while keeping production platforms reliable.

You will monitor pipelines, resolve incidents, and collaborate with stakeholders across regions in a fast-paced, consulting environment. Expect shift-based CST hours and a project-based contract with potential extension.

Qualifications

• 2-3 years of experience in data engineering, ETL/ELT development, or production support for data platforms.
• Strong SQL skills (debugging, data validation, performance).
• Hands-on experience with Snowflake and/or Databricks and Azure Data Factory (ADF).
• Experience in a fast-paced, consulting-oriented environment with shifting priorities.

Responsibilities

• Build, enhance, and troubleshoot Azure Data Factory pipelines and Snowflake/Databricks ELT/ETL processes.
• Monitor data batch cycles daily/weekly/monthly and respond quickly to failures, latency, or data-quality issues.
• Diagnose and resolve production incidents within SLA using SQL, Python, platform logs, and runbooks.
• Perform root cause analysis, document findings, and implement fixes to prevent recurrence.
• Drive operational improvements: automation, alert tuning, performance optimization, reliability enhancements.
• Work within ITIL/ITSM workflows and communicate clearly with stakeholders.
• Collaborate with regional teammates, sharing context and documenting decisions.

Skills

SQL

Data engineering

ETL/ELT

Python

Production support

Collaboration

Agile

Tools

Snowflake

Databricks

Azure Data Factory

Git

Job description

Slalom is seeking a hands-on Data Engineer for the Enhance & Operate team. This remote role supports a modern Databricks + Snowflake + Azure Data Factory EDW ecosystem, focusing on building and improving data pipelines while keeping production platforms reliable.

You will monitor pipelines, resolve incidents, and collaborate with stakeholders across regions in a fast-paced, consulting environment. Expect shift-based CST hours and a project-based contract with potential extension.