Snowflake/ Databricks Data Engineer

Marlabs; Oregon; Hybrid; USD 110,000 - 150,000; Full time

Job summary

Marlabs Inc. is seeking a Snowflake/Databricks Data Engineer to transform raw data into trusted sources for business insights. You will design scalable pipelines, model data, and drive data commercialization with Azure services and cloud-native modernization.

Collaborate across teams to enable self-service analytics using Power BI and Sigma, while applying agile methods to deliver on initiative goals and data governance.

Qualifications

• 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 to support enterprise-wide initiatives.
• 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 like Jira, ServiceNow, and Azure DevOps for sprint planning, backlog grooming, and daily stand-ups.
• Support modernization efforts by transitioning from legacy tools (e.g., SnowMirror) to cloud-native solutions.
• Enable self-service analytics through platforms like Power BI and Sigma, ensuring data integrity and accessibility.

Skills

5+ years data engineering

Data modeling

Pipeline development

Self-service analytics

Python

AI-driven data initiatives

Agile

Tools

Snowflake

Databricks

Azure

Azure Service Bus

Jira

ServiceNow

Azure DevOps

Power BI

Sigma

Python

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Snowflake Data Engineer to join our innovative team.

Snowflake/ Databricks Data Engineer | About You

As a Snowflake/ Databricks Data Engineer, you are responsible for transforming raw data into trusted, authoritative sources that drive business decisions. You thrive in a fast-paced, agile environment and enjoy solving complex data integration challenges. You’re passionate about data commercialization, AI-driven insights, and enabling self-service analytics across the organization. Your ability to collaborate across teams and leverage modern cloud technologies like Azure and Snowflake makes you a key player in our data strategy.

Snowflake/ Databricks Data Engineer | Day-to-Day

• Design and maintain scalable data pipelines using Snowflake or Databricks, Azure, and Azure Service Bus to support enterprise-wide initiatives.
• 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 like Jira, ServiceNow, and Azure DevOps for sprint planning, backlog grooming, and daily stand-ups.
• Support modernization efforts by transitioning from legacy tools (e.g., SnowMirror) to cloud-native solutions.
• Enable self-service analytics through platforms like Power BI and Sigma, ensuring data integrity and accessibility.

Snowflake/ Databricks Data Engineer | Skills & Experience

• 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.