Senior Data Engineer - Remote

Overview

The Senior Data Engineer is a senior-level technical expert responsible for architecting, developing, and optimizing data pipelines and infrastructure to support enterprise data initiatives.

In Short

• Design, build, and maintain scalable ETL/ELT pipelines.
• Develop performant data models and service layers for analytics.
• Continuously improve tooling, workflows, and processes.
• Implement automated testing and monitoring for data quality.
• Partner with stakeholders to gather requirements and translate them into solutions.
• Mentor and train a team of developers.
• Ensure availability, integrity, and quality of data.
• Work in a remote-first environment.
• Participate in various team-building and community events.
• Support personal development through educational reimbursements.

Requirements

• Bachelor's Degree in Computer Science or related discipline.
• 8+ years of hands-on experience in enterprise-grade solutions.
• 3 years in a PaaS environment, preferably AWS.
• Strong experience with AWS services like Lambda, S3, DynamoDB.
• Expertise in building data warehousing solutions.
• Advanced SQL skills for large-scale datasets.
• Proficiency in Python and/or PySpark.
• Familiarity with CI/CD pipelines and DevOps workflows.

Benefits

• 100% Remote work with reimbursements for home office expenses.
• Flexible PTO and company holidays.
• Variety of healthcare benefits starting day one.
• Generous parental leave benefits.
• Continuing education and professional certification reimbursement.
• Local volunteer events and community support programs.
• Company-wide recognition tool for celebrating achievements.
• Diversity and inclusion initiatives and Employee Resource Groups.