Principal Data Engineer - Real-Time Data & Personalization

Lever, Inc.; Nashville (TN); On-site; USD 150,000 - 190,000; Full time

Job summary

The Daily Wire is seeking a Principal Data Engineer to architect and build systems connecting subscribers, content, advertising, and digital products. This hands-on role spans backend services, event-driven pipelines, cloud infrastructure, analytics models, and personalization systems to strengthen data foundations and AI-driven discovery.

The ideal candidate brings a strong software engineering background, deep expertise in data-intensive systems, and the ability to influence technical strategy

Qualifications

• Bachelors degree in CS/Engineering or equivalent practical experience.
• 10+ years of software/data engineering experience in data-intensive platforms.
• Proven experience with Snowflake, dbt, and data warehouse design.

Responsibilities

• Architect and drive long-term vision for the data ecosystem, including infra, ingestion, storage, transformation and real-time analytics.
• Lead design and implementation of distributed systems, APIs, event streams and real-time data pipelines.
• Build resilient backend services and data workflows using Python/Go and advanced SQL.
• Design and scale Snowflake data warehouses and dbt models for reliable data products.
• Partner with product/analytics leaders on event schemas and semantic layers.
• Architect production ML infra and low-latency inference systems for content personalization.
• Establish standards for testing, observability, security, reliability, and cost.
• Provide technical leadership across AWS, containers, architecture reviews, and incident response.

Skills

Data architecture

Python

Go

SQL

Snowflake

dbt

AWS

SageMaker

Kafka

CI/CD

Education

Bachelor’s degree in Computer Science or Engineering

Tools

Snowflake

dbt

AWS

Kafka

Kinesis

SageMaker

Tableau

Job description

The Daily Wire is seeking a Principal Data Engineer to architect and build systems connecting subscribers, content, advertising, and digital products. This hands-on role spans backend services, event-driven pipelines, cloud infrastructure, analytics models, and personalization systems to strengthen data foundations and AI-driven discovery.

The ideal candidate brings a strong software engineering background, deep expertise in data-intensive systems, and the ability to influence technical strategy