Senior Analytics Engineer

March 18

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

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EvolutionIQ

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EvolutionIQ is a cutting-edge technology company specializing in AI-powered claims guidance to improve the efficiency of insurance claims processing. The company focuses on simplifying complex claims data into actionable insights, enabling claims professionals to provide higher quality service with less effort and more personalized support. EvolutionIQ's solutions are specifically designed to address challenges in areas such as Group & Individual Disability, Workers' Compensation, and Income Protection, enhancing claimant experience, reducing costs, and optimizing process efficiency. The company prides itself on harnessing human-centric AI to drive better outcomes in claims management.

Healthcare • Insurance • Workers Compensation • Disability • Artificial Intelligence

51 - 200 employees

🤖 Artificial Intelligence

📋 Description

• About Us: 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. • The Adventure: We're the leading AI Guidance Platform in the insurance industry today, working with some of the largest insurance carriers in the US and expanding globally. We are seeking a highly skilled and motivated Senior Analytics Engineer to play a pivotal role in building and scaling our next-generation analytical data platform. • 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. • 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).

🎯 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. • Experience with data governance and data quality tools and processes is highly desirable. • Excellent problem-solving and analytical skills, along with passion for data and a commitment to data quality.

🏖️ Benefits

• Compensation: The salary range for this role is up to 225K base with flexibility, plus a meaningful equity plan. • Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2% • Home & Family: 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 • Office Life: Catered lunches, happy hours, pet-friendly spaces, and home office stipend. • Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally • Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active H1-B visa