Senior Data Engineer - Databricks - Remote

Overview

The Sr. Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and systems, requiring deep knowledge of data engineering and programming.

In Short

• Design and maintain scalable data pipelines using PySpark.
• Develop data models based on business requirements.
• Ensure data quality, consistency, and accuracy.
• Collaborate with DataOps and cross-functional teams.
• Troubleshoot data-related issues.
• Stay updated with industry trends in data engineering.
• Mentor junior team members.
• Implement data validation and monitoring processes.
• Work in a remote environment with occasional travel.
• Participate in a bonus program based on performance.

Requirements

• Bachelor's or advanced degree in Computer Science or related field.
• 5+ years of experience in data engineering.
• Proficiency in PySpark, Python, and SQL.
• Expertise in Databricks and databases.
• Strong understanding of data modeling and governance.
• Experience with ETL processes and data warehousing.
• Excellent problem-solving and communication skills.
• Familiarity with Agile methodologies.
• Experience with cloud platforms like AWS or Azure.
• Knowledge of MLOps and DataOps practices.

Benefits

• Competitive Medical, Dental, and Vision insurance.
• Generous Paid Time Off including vacation and holidays.
• 401(k) with Company Match.
• Paid Parental Leave and Fertility Benefit reimbursement.
• Employee Assistance Program and various insurance plans.
• 6-Week Paid Sabbatical after 10 years of service.
• Onsite housing discounts for team members.
• Charitable giving program and benefits.