Commit is hiring a
Analytics Engineer in United States, Canada

Summary

This is a fully remote data engineering position focusing on building and maintaining scalable data models for a company that provides solutions for managing workplaces globally. The successful candidate will optimize data flow, ensure data accuracy, collaborate with cross-functional teams, and lead in designing data models.

Requirements

• Minimum 5 years of experience in data or analytics engineering
• Expertise in SQL and Python for data manipulation and transformation
• Hands-on experience with the modern data stack, including technologies like Redshift, Spark, AWS Glue, Databricks, dbt, Airflow, Looker, and Segment
• Demonstrated ability to work with databases supporting front-end applications and to scale data processes efficiently
• Familiarity with CI/CD pipelines and software engineering best practices

Responsibilities

• Develop and maintain scalable data models and pipelines, optimizing for performance and reliability
• Drive ETL process improvements, from development to testing and validation
• Work collaboratively across teams to align data collection and processing with business goals
• Innovate and expand the data warehouse, applying engineering best practices to the analytics codebase
• Lead in designing data models and curated datasets for comprehensive reporting and analytics
• Mentor and support the growth of junior team members in the data team

Benefits

This remote position offers a competitive salary, equity, and comprehensive benefits