Senior Data Engineer - Remote

Overview

The Sr. Data Engineer will be responsible for designing, developing, and maintaining data pipelines and warehouse infrastructure, ensuring data accuracy, security, and accessibility.

In Short

• Design and build scalable data pipeline architecture.
• Develop ELT/ETL pipelines for data integration.
• Optimize and maintain data infrastructure.
• Collaborate with data scientists and analysts.
• Ensure data security and compliance.
• Troubleshoot data quality issues.
• Automate data management processes.
• Stay updated with data technologies.
• Support cross-functional business partners.
• Enhance reporting efficiency and accuracy.

Requirements

• Bachelor's or Master's degree in relevant field.
• 15+ years of experience in Data Engineering.
• Strong Snowflake experience.
• Proficiency in SQL and data pipeline documentation.
• Experience with ETL tools like Informatica.
• Knowledge of data standardization and modeling.
• Familiarity with cloud platforms like AWS, Azure, GCP.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Benefits

• Competitive pay and benefits.
• Bonus eligibility (200% of target).
• Equity options.
• Flexible time off.
• Year-round half-day Fridays.
• Hybrid work environment (3 days in office, 2 days remote).