Evolutioniq11h ago

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From $1,000/yr

Senior Analytics Engineer (AI Insurance SaaS)

United States·New Yorksenior

Data EngineerData

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Quick Summary

Key Responsibilities

Platform Design and Development: Lead the design, development, and implementation of a scalable, reliable, and efficient analytical data platform.

Requirements Summary

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.

Technical Tools

Data EngineerData

Responsibilities

~1 min read

→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.

Requirements

~1 min read

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.

What We Offer

~1 min read

✓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.

Location & Eligibility

Where is the job

New York, United States

On-site at the office

Who can apply

Listing Details

Posted: July 22, 2026
First seen: July 22, 2026
Last seen: July 23, 2026

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Days active: 0
Repost count: 0
Trust Level: 60%
Scored at: July 22, 2026

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Evolutioniq

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EvolutionIQ is an AI-powered claims guidance platform for the insurance industry, designed to improve claims processing, reduce costs, and help injured individuals recover faster.

Employees

125

Founded

2019

Domain

evolutioniq.com

Jobs

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Salary

From $1,000

per year