Senior Analytics Engineer

Oscar Health

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$149,040–$195,615 / yr
Posted
133 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $172k
$132k most similar roles pay here $224k

This role pays more than 50% of similar roles. Most pay $146,743–$215,162 — the shaded band above. At the midpoint, this role pays about $172k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About Oscar Health

Oscar Health is a technology-driven health insurance company offering individual, family, and small business health plans.

Oscar Health currently has 70 open roles on FindRole.

Listed pay typically runs $149,040–$195,615 across 65 roles with salary data.

Most-posted roles

View all roles at Oscar Health

At a glance

TL;DR · Senior Analytics Engineer

The Senior Analytics Engineer joins the Data Team to design, build, and maintain conformed dimensional models that transform raw operational data from multiple independent source systems into reliable analytical assets across various business domains. This role involves partnering with domain experts to capture business logic, resolving cross-source inconsistencies, and developing semantic layer artifacts to support enterprise business intelligence. The candidate will manage source-to-target mapping, historical change tracking, and data quality monitoring while mentoring junior team members and using AI tools to accelerate development workflows. Required technical skills include SQL for modeling at scale, dbt for data transformation, and experience with cloud platforms like GCP, AWS, or Azure. The role focuses on creating a unified data foundation by integrating disparate systems into a cohesive model that enables cross-domain analysis within the health insurance industry.

What you'll do

  • Design, build, and maintain conformed dimensional models in dbt across multiple business domains.
  • Translate complex business logic from stakeholders into structured analytical assets within a unified data foundation.
  • Resolve cross-source inconsistencies to ensure data from independent systems conforms to shared definitions.
  • Develop semantic layer artifacts to support enterprise business intelligence needs.
  • Lead long-term projects to optimize, scale, and improve the efficiency of analytics data transformation solutions.
  • Implement data quality checks and monitoring pipelines to ensure the reliability of analytics outputs.
  • Mentor junior team members and contribute to established engineering standards and conventions.
  • Utilize AI tools to accelerate development workflows and solve complex technical problems.

What we're looking for

  • 4+ years of experience in Analytics Engineering, Data Engineering, or a related field.
  • 3+ years of experience working with SQL to transform and model data at scale.
  • 2+ years of experience building dimensional models including star schemas, slowly changing dimensions, and surrogate key management.
  • Experience designing conformed dimensional models spanning two or more distinct business domains or processes.
  • 2+ years of experience developing within a modern data transformation tool such as dbt.
  • 2+ years of experience with cloud data platforms like GCP, AWS, or Azure.
  • 2+ years of experience partnering with domain experts to translate business requirements into data models.
  • Experience using AI tools to accelerate development workflows.

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