Senior Manager, Data Engineer - Databricks - Remote

Overview

The Senior Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and systems, leveraging expertise in data engineering and programming.

In Short

• Design and develop scalable data pipelines using PySpark.
• Maintain data models for optimal reporting and analytics.
• Ensure data quality and consistency in data pipelines.
• Collaborate with cross-functional teams to deliver data solutions.
• Troubleshoot data-related issues and provide L3 support.
• Mentor junior team members in data engineering practices.
• Stay updated on industry trends in data engineering.
• Implement data security solutions based on compliance needs.
• Participate in Agile software development methodologies.
• Work in a remote or office environment with occasional travel.

Requirements

• Bachelor's or advanced degree in Computer Science or Engineering.
• 5+ years of experience in data engineering.
• Proficiency in PySpark, Python, and SQL.
• Experience with Databricks and other database technologies.
• Strong understanding of data modeling and governance.
• Excellent problem-solving and communication skills.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with MLOps and DataOps practices.
• Knowledge of data visualization tools.
• Ability to work effectively in a team environment.

Benefits

• Competitive Medical, Dental, Vision, and Disability insurance.
• Generous Paid Time Off including vacation and personal days.
• 401(k) with Company Match after 6 months of service.
• Paid Parental Leave and Fertility Benefit reimbursement.
• Employee Assistance Program and additional insurance options.
• 6-Week Paid Sabbatical after 10 years of service.
• Onsite housing discounts for eligible employees.
• Charitable giving program and benefits.
• Opportunities for bonuses based on performance.
• Work in a collaborative and integrity-driven environment.