VP, Data Engineer - Remote

Overview

The VP, Data Engineer will implement complex databases and data pipelines that enhance analytics for real-time decision-making, working closely with leaders on high-profile analytics projects.

In Short

• Lead and mentor a team in developing data solutions.
• Direct operations to deliver high-quality data solutions.
• Build partnerships across the organization.
• Design intuitive data structures for analytics needs.
• Automate data ingestion processes.
• Manage data engineering throughout project lifecycles.
• Promote best practices in data engineering.
• Explore modern technologies and data sources.
• Communicate effectively with technical and non-technical audiences.
• Handle ambiguous concepts and complex problems.

Requirements

• 10+ years of data engineering experience.
• 5+ years of team management experience.
• Experience with cloud technologies like Snowflake and Databricks.
• Familiarity with the MLOps framework.
• Strong data manipulation skills.
• Exceptional collaboration and relationship-building skills.
• Thorough understanding of data warehousing concepts.
• Excellent verbal and written communication skills.
• Flexibility to meet changing requirements.
• College degree in relevant fields.

Benefits

• Comprehensive medical, dental, and vision coverage.
• Competitive 401k with generous matching.
• PTO beginning at 20 days per year.
• Paid company holidays and Volunteer Time Off.
• Paid Parental Leave up to 10 weeks.
• Student Loan Assistance and Tuition Reimbursement.
• Backup Child and Elder Care.
• Incentive eligibility.
• Commitment to employee success and career growth.
• Access to a talent community for job alerts.