Senior Analytics Engineer - Remote

Overview

EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row!

In Short

• Lead the design and development of an analytical data platform.
• Build and maintain ETL/ELT pipelines for data ingestion.
• Establish data quality standards and governance policies.
• Collaborate with data scientists and analysts to meet data needs.
• Mentor and guide data engineers.
• Stay updated on trends in data engineering and analytics.
• Identify opportunities for process improvement.
• Communicate technical concepts effectively to diverse audiences.
• Contribute to data architecture and strategy.
• Propose innovative solutions for data challenges.

Requirements

• Bachelor's or Master's degree in Computer Science or related field.
• 5+ years of experience in data engineering.
• Experience with cloud data warehousing (e.g., BigQuery, Snowflake).
• Strong proficiency in SQL and data modeling techniques.
• Experience with ETL/ELT tools like Dagster or Apache Airflow.
• Proficiency in programming languages such as Python or Java.
• Experience with data governance tools is desirable.
• Excellent problem-solving and analytical skills.

Benefits

• Compensation: Up to 225K base salary with equity plan.
• Full medical, dental, vision, and disability coverage.
• Flexible PTO and paid parental leave.
• Catered lunches and happy hours.
• $1,000/year for professional development.
• Open to sponsoring H1-B visa candidates.