Live opening · Posted 7 days ago

Principal Data Engineer (Platform)

Elios AI · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyElios AI
LocationUnited States (Remote)
Work modeYes
SourceLinkedin
Listed7 days ago

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About the role

Description supplied by the original job listing.

Data Engineer (Platform)
Fully Remote
Strong compensation package (Base Salary + Bonus)
Excellent Benefits & Unlimited PTO
About the Role
We are seeking a hands-on Data Engineer to help build and scale a modern data platform that will serve as the foundation for multiple applications and analytics capabilities. This role is focused on platform engineering and data infrastructure, not traditional BI development.
The ideal candidate has deep experience designing and building scalable data pipelines, implementing modern data architecture patterns, and developing reliable ingestion and transformation frameworks. This role will work closely with engineering teams to establish the core data platform that other systems and products will depend on.
This position requires engineers who think platform-first and are comfortable building the underlying systems that power data products.
What You’ll Do
Design and build scalable data pipelines that support a modern data platform
Develop transformation workflows using dbt and Python
Build and maintain orchestration pipelines using Apache Airflow
Implement and support medallion architecture data layers (bronze, silver, gold)
Develop reliable CDC ingestion pipelines for structured and semi-structured data
Build reusable data platform components that enable downstream application development
Work with engineering teams to integrate data platform capabilities into product workflows
Ensure data reliability, performance, and observability across pipelines
Help define best practices for data modeling, pipeline orchestration, and platform scalability
Contribute to a modern engineering culture focused on automation, reliability, and platform ownership
What We’re Looking For
Strong hands-on experience as a Data Engineer building production data pipelines
Expertise with dbt for transformation and data modeling
Strong Python development experience
Deep experience with Apache Airflow for pipeline orchestration
Experience implementing medallion architecture or similar layered data platform patterns
Hands-on experience building CDC ingestion pipelines
Experience working with modern data platform ecosystems and cloud environments
Strong understanding of scalable data platform design and pipeline reliability
Ability to work in a fast-moving engineering environment with a platform-first mindset
Important Note
This role is focused on data platform engineering, not traditional BI development. Candidates with primarily Microsoft BI, reporting, or visualization-focused backgrounds are unlikely to be a fit.
This is an opportunity to help build a foundational data platform that will power future products and applications across the organization.

Work arrangement
Yes

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