Senior Data Engineer - Remote (EST)
Company: Centro Benefits Research
Location: Location not specified (Remote)
Type: Full-time
Level: Senior
Remote: Yes
Posted: 2026-02-27
About this role
Does your current company inspire you to build, grow, and innovate? Is your passion for making lasting and meaningful change being realized?
The tremendous growth in our business and increasing demand for our services means we are expanding our team in exciting ways. We have the heart of a startup and the backing of an industry leader. This means a unique career opportunity for low-ego professionals looking for a people-first, culture rich work family with which to change the world.
Summary
We are seeking a Senior Data Engineer to architect and build cloud-native data platforms centered around Snowflake, dbt, and modern orchestration frameworks. The role involves 60–70% data engineering and architecture and 30–40% backend, infrastructure, and systems design, including some frontend engineering to support full-stack delivery of data-driven features where appropriate.
Essential Duties And Responsibilities
- Architect and develop scalable data pipelines and models using Snowflake and dbt.
- Design and operate orchestration using Airflow, Dagster, Prefect, or similar.
- Define modeling standards, storage patterns, and performance strategies.
- Collaborate on backend APIs, services, integration layers, and limited frontend interfaces supporting data-driven features.
- Contribute to CI/CD, environment management, and automated pipeline delivery.
- Implement quality checks, lineage, SLAs, and observability.
- Mentor engineers and drive architectural best practices.
- Participate in system design and multi-team architectural planning.
Qualifications, Skills And Requirements
- 5+ years of experience in data engineering, data architecture, or platform engineering.
- Strong experience with dbt (modeling, testing, deployment, environment strategies).
- Hands-on experience with orchestration frameworks (Airflow, Dagster, Prefect, or similar).
- Deep expertise with data warehousing platforms; e.g. Snowflake, Redshift, etc including performance tun...