#120463 - Senior Data Engineer

Responsibilities

• Build and optimize scalable data pipelines using Python and dbt.
• Design and maintain Snowflake warehouse structures, database tables, and performant data models.
• Develop reliable ETL/ELT workflows for extracting, transforming, loading, and validating data from multiple sources.
• Maintain data quality and consistency across analytics and reporting workflows.
• Improve pipeline reliability through monitoring, data observability, troubleshooting, and proactive issue resolution.
• Support reporting and dashboard needs that provide actionable insights for business stakeholders.
• Collaborate cross-functionally to clarify requirements, communicate progress, and ensure transparency across initiatives.
• Must-Have Skills
• Strong SQL skills for querying, transforming, validating, and optimizing data.
• Python experience for scalable data pipelines, automation scripts, and data processing workflows.
• Hands-on Snowflake experience designing and maintaining warehouse structures, tables, and data models.
• dbt experience developing modular transformations, tests, and documentation within modern ELT workflows.
• AWS familiarity for scalable data storage, processing, and pipeline orchestration.
• Experience building reliable ETL/ELT workflows across multiple data sources.
• Ability to monitor pipeline health, troubleshoot workflow issues, and improve data reliability and quality.
• Strong communication skills and ability to partner cross-functionally with technical and business stakeholders.
• Nice-to-Have Skills
• Dagster or similar orchestration experience.
• Experience supporting marketplace, hiring, performance, or business analytics data products.
• Dashboarding or reporting experience for business-facing analytics.
• Required Tools & Platforms
• SQL
• Python
• Snowflake
• dbt
• AWS
• ETL/ELT workflows
• Data observability practices or tools
• Dashboards and reporting workflows
• Location, Time & Engagement
• Remote contract role.
• LATAM-based candidates only.
• Must be able to work with meaningful overlap with U.S. business hours.
• 40 hours per week.
• Contract currently expected to run through September 30, 2026.

Benefits

Additional Information

We are seeking a Senior Data Engineer to support core marketplace analytics data products and platform work. This role will focus on building and maintaining reliable data pipelines, Snowflake data models, dbt transformations, and observability practices that support analytics, reporting, and business decision-making. Enterprise experience strongly preferred.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Liftedanupworkcompany? Share your experience