Remote Data Engineer

Description:

• Join a team of skilled technologists to support and develop data engineering solutions.
• Establish best practices and implement end-to-end ETL and ELT pipelines.
• Collaborate with stakeholders to create data extraction and reporting solutions.
• Maximize data asset value through visualizations and reporting tools like Looker and Power BI.

Requirements:

• Experience with modern data tools (e.g., Snowflake, Airflow, dbt) and cloud environments.
• Strong programming skills, especially in Python and SQL.
• Knowledge of engineering best practices: CI/CD, testing, version control, infrastructure as code.
• Strong data modeling skills and understanding of relational and graph databases.
• Familiarity with agentic data flows and various analytical data platforms.
• Experience with data visualization platforms like Looker and Power BI.
• Degree in Computer Science, Engineering, or equivalent experience.
• 3+ years in a data engineering/reporting environment.

Benefits:

• Flexible working environment.
• Volunteer time off.
• Access to LinkedIn Learning.
• Employee Assistance Program (EAP).