Senior Analytics Engineer (AI Insurance SaaS)

EvolutionIQ; New York (NY); On-site; USD 200,000 - 225,000; Full time

Benefits offered by this job

Medical, dental, vision

401k matching

Parental leave

Catered lunches

Technology stipend

Equity plan (RSUs)

Job summary

EvolutionIQ is seeking a Senior Analytics Engineer to lead the design, development, and scaling of a robust analytical data platform in the US. You will architect data models, pipelines, and governance to ensure accurate BI data assets, partnering with data scientists, analysts, and engineers to deliver insights that drive decisions.

You will collaborate with cross-functional teams to align architecture with business needs, applying latest data engineering trends and best practices while

Qualifications

• Bachelor's or Master's degree in CS/Engineering or related field.
• 5+ years of data engineering experience building analytical data platforms.
• Experience with cloud data warehousing (BigQuery, Snowflake, Redshift).
• Strong SQL skills and data modeling (star/schema, dimensional).
• ETL/ELT pipelines with Dagster, Airflow, or dbt.
• Programming in Python, Java, or Scala.
• Data governance and data quality tools is highly desirable.
• Excellent problem-solving and passion for data quality.

Responsibilities

• Platform design and development of a scalable analytical data platform.
• Build and maintain robust ETL/ELT pipelines to load data into a data warehouse.
• Develop data models for analytical use cases and ensure data quality.
• Collaborate with data scientists and analysts to meet data needs.
• Stay current with data engineering trends and drive improvements.

Skills

SQL

Data modeling

ETL/ELT pipelines

Python/Java/Scala

Education

Bachelor's or Master's degree in CS/Engineering or related field

Tools

BigQuery

Snowflake

Redshift

Dagster

Apache Airflow

dbt

Job description

About Us

EvolutionIQ's mission is 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!

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. This role will be instrumental in shaping our analytics strategy, designing robust data models, and ensuring the availability, accuracy, and performance of our business intelligence data assets. As a key member of our team, you will collaborate closely with data scientists, analysts, and other engineers to deliver data-driven insights that drive critical business decisions.

Responsibilities

1. Platform Design and Development: 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.
2. Data Pipeline Engineering: 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.
3. Data Quality and Governance: Establish and enforce data quality standards and processes to ensure data accuracy, 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.
4. Collaboration and Communication: 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.
5. Innovation and Continuous Improvement: 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.

Required Qualifications & Skills

• 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.

Work-life, Culture & Perks

• Compensation: The base salary range is $200-225K, with flexibility depending on a candidate's background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
• Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
• Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
• Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
• Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
• Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.

EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.