Sr. Data Engineer

Bandwidth is seeking a Sr. Data Engineer to design, build, and optimize scalable data platforms. This role focuses on enabling data ingestion, transformation, and governance for the organization. The ideal candidate will work closely with cross-functional teams to support both traditional data engineering pipelines and modern data mesh initiatives.

Key responsibilities include:

• Developing and maintaining scalable data platforms using Snowflake and cloud technologies
• Building and optimizing ETL/ELT data pipelines
• Collaborating on data enablement and ops
• Implementing automation and CI/CD pipelines
• Applying Snowflake expertise for efficient data modeling
• Integrating cloud data using AWS services
• Ensuring data governance and compliance
• Collaborating with stakeholders to translate business requirements
• Participating in Agile practices and mentoring junior engineers
• Implementing metrics and observability for data pipelines

The ideal candidate should have:

• 8+ years of experience in software architecture in data engineering
• Strong collaboration skills and ability to work in high-growth environments
• Proficiency in Python, SQL, and various database technologies
• Experience with data warehousing solutions, particularly Snowflake
• Knowledge of cloud platforms, especially AWS
• Familiarity with containerization, CI/CD tools, and Agile methodologies

Bandwidth offers a "Whole Person Promise" with benefits including:

• 100% company-paid Medical, Vision, & Dental coverage
• Four weeks of PTO for new hires
• PTO Embargo policy
• Opportunities to earn additional PTO
• "Mahalo moments" program for life events
• 90-Minute Workout Lunches

Join Bandwidth to be part of a dynamic team driving efficient data solutions for enterprise-wide data consumption!