Senior Analytics Engineer – AI Insurance SaaS Platform

Doist; 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

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