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# BI (Analytics) Engineer

- **Company:** Eclaro International Inc.
- **Location:** Miami, FL, United States
- **Experience:** Experienced
- **Salary:** $135,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** BigQuery, Data Infrastructure, Data Warehousing, Python (Programming Language), Machine Learning, Operational Databases, Datadog, Snowflake, Stripe, Terraform
- **Published:** September 29, 2026
- **Apply:** https://www.careers-eclaro.com/job/6225/bi_analytics_engineer#apply-now-header

## About the Role

* Experience building data models and pipelines at a VC-backed startup or a big tech company founded after 2005 (think Uber, Lyft, Stripe, or Datadog; FAANG doesn't count)
 * Advanced SQL in complex production data environments
 * Willingness to work in-office 4 days/week in Denver, SF, or NYC
 * 3-7 years of experience in analytics or data science at a high-growth company
 * Bachelor's degree in CS, Math, Engineering, or a hard science
 * Hands-on experience with a major data warehouse (Snowflake, BigQuery, or Redshift)
 * Ability to clearly articulate your business impact with quantified outcomes

Preferred Qualifications:

 * Experience partnering with product and operations teams on data needs
 * Experience in a highly regulated industry (fintech, shipping/logistics, insurance) working with large, complex data sets
 * Hands-on dbt experience for production data modeling
 * Familiarity with GCP/BigQuery, Python, or Terraform

## Description

* Our client is a fast-growing healthcare insurance startup.
 * Look past the healthcare label and you'll find a data company at its core.
 * The data team is lean and high-impact: three people supporting 70+ engineers.
 * You'll own data modeling and pipelines, building the foundational data layer that powers customer-facing reporting today and ML/AI products tomorrow.
 * This is a hands-on role.
 * You'll take messy, complex data models and turn them into something reliable and scalable, working closely with product, operations, and engineering.
 * If you thrive in ambiguity, work at startup pace, and can point to measurable impact, you'll fit right in.
 * Applicants must be authorized to work in the United States on a full-time basis without the need for current or future visa sponsorship, * Own and mature the data modeling practice, building the critical models and pipelines behind customer-facing reporting and analytics
 * Scale and clean up existing data infrastructure to support larger, more complex enterprise customer integrations
 * Partner with product management and operations to understand data needs and deliver accurate, trusted outputs
 * Work directly with engineers to understand complex production data, and keep Metabase dashboards accurate and available
 * Client the groundwork for future ML and AI products by improving data quality, governance, and pipeline reliability


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