Join the Squad | Now Hiring a Snowflake/ Databricks Data Engineer

Marlabs • Indianapolis, IN

6h

About The Position

Marlabs is hiring a Snowflake/ Databricks Data Engineer to transform raw data into trusted, authoritative sources that support business decisions. The role involves designing and maintaining scalable data pipelines with Snowflake or Databricks and Azure technologies, integrating external data, and enabling data commercialization, strategic decision-making, and self-service analytics. The engineer will work across teams in a fast-paced, Agile environment and contribute to cloud modernization and AI-driven data initiatives.

Requirements

• At least 5 years of experience in data engineering, data architecture, or a related technical field.
• Strong hands-on experience with Snowflake, Databricks, Azure, and Azure Service Bus in enterprise environments.
• Proven ability in data modeling, pipeline development, and scalable data architecture.
• Familiarity with Agile methodologies and tools such as Jira, ServiceNow, and Azure DevOps.
• Working knowledge of Power BI, Sigma, and principles of self-service analytics.
• Exposure to Python and interest in collaborating on automation, scripting, and AI-driven data initiatives.

Responsibilities

• Design and maintain scalable data pipelines using Snowflake or Databricks, Azure, and Azure Service Bus.
• Lead data integration efforts, extracting data from external sources and landing it in Snowflake, including data modeling and transformation.
• Collaborate with stakeholders to develop authoritative data sources that support data commercialization and strategic decision-making.
• Use Agile tools such as Jira, ServiceNow, and Azure DevOps for sprint planning, backlog grooming, and daily stand-ups.
• Support modernization efforts by transitioning from legacy tools such as SnowMirror to cloud-native solutions.
• Enable self-service analytics through platforms such as Power BI and Sigma while ensuring data integrity and accessibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed