Senior Analytics Engineer

Summary

Join EvolutionIQ, a leading AI Guidance Platform in the insurance industry, as a Senior Analytics Engineer. You will play a pivotal role in building and scaling our next-generation analytical data platform, shaping our analytics strategy, and ensuring data quality and performance. Collaborate with data scientists, analysts, and engineers to deliver data-driven insights. This role requires strong data engineering experience, proficiency in SQL and various programming languages, and expertise in cloud data warehousing. We offer a competitive salary, comprehensive benefits, flexible PTO, parental leave, and professional development opportunities.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 5+ years of experience in data engineering, with a focus on building analytical data platforms
• Demonstrated experience with cloud data warehousing solutions (e.g. BigQuery, Snowflake, Redshift)
• Strong proficiency in SQL and experience with data modeling techniques (e.g., star schema, dimensional modeling)
• Experience building and maintaining ETL/ELT pipelines using tools like Dagster, Apache Airflow, dbt, or similar
• Experience with programming languages such as Python, Java, or Scala
• Excellent problem-solving and analytical skills, along with passion for data and a commitment to data quality

Responsibilities

• Lead the design, development, and implementation of a scalable, reliable, and efficient analytical data platform
• Influence decisions on technology and tool selection for data ingestion, storage, transformation, and analysis for the analytics platform
• Contribute to the overall data architecture and strategy, ensuring alignment with business needs and best practices
• Build and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources into the data warehouse (e.g., cloud storage, databases, APIs)
• Develop and optimize data models for analytical use cases, ensuring data quality, consistency, and accessibility
• Establish and enforce data quality standards and processes to ensure data accuracy and integrity
• Implement data governance policies and procedures to manage data access, security, and compliance for analytics use cases
• Proactively identify and address data quality issues, working with stakeholders to resolve root causes
• Partner with data scientists, analysts, and other engineers to understand their data needs and provide solutions
• Effectively communicate technical concepts and designs to both technical and non-technical audiences
• Mentor and guide data engineers, fostering a culture of learning and collaboration
• Stay up-to-date on the latest trends and technologies in data engineering and analytics
• Identify opportunities to improve existing data processes and tools
• Proactively propose and implement innovative solutions to address data challenges

Preferred Qualifications

Experience with data governance and data quality tools and processes is highly desirable

Benefits

• The salary range for this role is up to 225K base with flexibility, plus a meaningful equity plan
• Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%
• Flexible PTO, 100% paid parental leave (4 months for primary caregivers and 3 months for secondary caregivers), sick days, paid time off
• For new parents returning to work we offer a flexible schedule
• We also offer sleep training to help you and your family navigate life schedules with a newborn
• Catered lunches, happy hours, pet-friendly spaces, and home office stipend
• $1,000/year for each employee for professional development, as well as upskilling opportunities internally
• We are open to sponsoring candidates currently in the U.S. who need to transfer their active H1-B visa