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# Senior Manager, Data Engineering

- **Company:** Rhino, Inc
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $160,000.0 - $210,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, BigQuery, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Operational Databases, Tableau (Software), Snowflake, Data Management, Looker Analytics, Data Pipelines
- **Published:** August 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a6be257eb2a8a18c

## About the Role

* Hands-on experience with the full data stack: data warehouses (e.g. Snowflake, BigQuery), dbt, ETL tools (e.g. Fivetran, Stitch, Airflow), and BI platforms (e.g. Tableau, Looker)
 * 6+ years building and owning production data pipelines, including experience leading a small data team as a player-coach in a high-velocity environment
 * Background in fintech or insurtech with experience maintaining financial product reporting (e.g. actuarial reports, loan tapes)
 * Experience managing and mentoring data engineers and analysts while contributing meaningful individual contributor work
 * Strong ability to collaborate with cross-functional teams to understand and meet each organization's data needs

## Description

The Senior Manager, Data Engineering will be a key member of R + J's Technology team and will report directly to the CTO. This is a tech lead manager role, you will be responsible for both managing a small team and building while setting technical standards. We think of the split as roughly 60% hands-on engineering and 40% leading.

In this role, you will:

 * Lead a nimble, high-impact data team of three, including data engineers and analysts, while setting the technical bar and contributing directly to the hardest problems
 * Own the entire data pipeline from warehouse to internal dashboards to external reporting, ensuring consistency and reliability across our data stack
 * Drive the technical recommendations behind data infrastructure decisions and vendor selections in partnership with the CTO, to support company growth and a self-service analytics culture
 * Partner closely with the Risk team to build structured, repeatable insurance reporting processes, including actuarial and bordereau reports
 * Consolidate currently siloed analysis across the organization, creating unified reporting standards and data accessibility
 * Enable self-service analytics capabilities across the company while maintaining data governance and quality standards
 * Collaborate with the CTO and cross-functional teams to own the data roadmap and align it with business objectives and the broader technical roadmap


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