Software Engineer (Data Platform) hybrid

About the Role

Key Responsibilities

• Analyze, design, and develop new features, pipelines, and data for the data platform.
• Participate in continuous and iterative engineering cycles with emphasis on code quality, supportability, scalability, and performance.
• Explore new technologies and tools to keep using cutting-edge solutions.
• Practice the software development life cycle in an agile-oriented environment.
• Help guide and contribute to feature design and implementation to enhance the product.

Requirements

• Degree in Computer Science, Data Science, Math, Engineering or a related field / technology.
• Proficiency with SQL and database technologies.
• 3+ years of software engineering experience, preferably with Golang.
• Experience with a data store technology such as Postgres, Redshift, or Snowflake.
• Experience with batch and stream processing technologies like Flink or Kafka.
• Desire to learn and understand new technologies in depth.
• Passionate about data, pipelines, high-quality code, and optimizing processes.
• Proactive nature with an internal drive for excellence and improvement.
• Ability to work in a hybrid capacity from the Santa Clara, California or Salt Lake City, Utah office two days a week.

Nice to Have

• Familiarity with BI tools such as Tableau.

Qualifications

• Degree in Computer Science, Data Science, Math, Engineering or a related field.

Benefits & Perks

• Salary range of $100,000 - $160,000 per year plus discretionary bonus based on performance.
• Wide range of medical, dental, vision, financial, and other benefits.