Data Engineer - Python/Spark/Databricks - Remote

Overview

We’re looking for a hands-on Data Engineer to join us on a 12-month max-term contract and play a key role in supporting and scaling our growing data infrastructure.

In Short

• Build and maintain scalable ETL/ELT pipelines using Databricks.
• Support business intelligence needs by developing reports and dashboards.
• Collaborate with the Lead Data Engineer for architectural guidance.
• Focus on data quality, reliability, and usability.
• Participate in sprint planning and team collaboration rituals.
• Translate business requirements into reliable data solutions.
• Implement monitoring and logging for data pipelines.
• Assist with ad hoc data queries and visualization needs.
• Ensure availability of key business metrics.
• Work in a hybrid environment with flexibility.

Requirements

• Strong experience with ETL/ELT pipelines in Databricks or similar platforms.
• Proficiency in Python and SQL.
• Deep knowledge of data modeling and warehousing concepts.
• Experience with BI tools like ThoughtSpot or Power BI.
• Solid version control practices (e.g., Git).
• Effective communication and problem-solving skills.
• Experience in remote or distributed team environments is desirable.
• Exposure to cloud environments (AWS, Azure, GCP).
• Familiarity with AWS services.
• Curious and proactive mindset.

Benefits

• Flexible hybrid work arrangement.
• Opportunity to work with a dynamic team.
• Contribute to strategic data initiatives.
• Engage in professional development opportunities.
• Work on innovative data solutions.