Staff Data Engineer (Fully Remote)

Unknown; United States; Remote; USD 175,000 - 200,000; Full time

Benefits offered by this job

Flexible vacation

Paid parental leave

401(k) matching

Medical, dental, vision

Job summary

Unknown is building scalable, reliable data platforms and shaping enterprise-wide data architecture. The role leads data architecture strategy and platform design, while optimizing ETL with Airflow, dbt, Python, Snowflake and Spark.

You will build streaming pipelines with Kafka and drive CI/CD automation in a fully remote US setting. The ideal candidate holds a Master's degree in Data Science or CS with 4+ years of experience and demonstrates strong data modeling, governance, and

Qualifications

• Master's degree in Data Science or Computer Science with 4+ years of experience.
• Experience with AWS, Docker/Kubernetes, Datadog, and large-scale data processing.
• Strong data modeling, quality, and cross-functional communication skills.

Responsibilities

• Lead data architecture strategy and define platform design principles.
• Optimize ETL pipelines with Airflow, dbt, Python, Snowflake, and Spark.
• Build streaming pipelines with Kafka and automate deployments via CI/CD.

Skills

Data architecture

Data modeling

Cross-functional collaboration

Leadership

Education

Master's degree in Data Science or Computer Science

Tools

Airflow

dbt

Python

Snowflake

Spark

Docker/Kubernetes

Datadog

Job description

• Lead data architecture strategy and define platform design principles.
• Optimize ETL pipelines with Airflow, dbt, Python, Snowflake, and Spark.
• Build streaming pipelines with Kafka and automate deployments via CI/CD.

Requirements:

• Master's degree in Data Science or Computer Science with 4+ years of experience.
• Experience with AWS, Docker/Kubernetes, Datadog, and large-scale data processing.
• Strong data modeling, quality, and cross-functional communication skills.
• Annual salary of $175,000-$200,000 with fully remote work in the US.
• Flexible vacation, paid parental leave, and 401(k) matching.
• Medical, dental, vision, and commuter benefits.

Unknown

The company is building scalable, reliable data platforms and shaping enterprise-wide data architecture. They value technical leadership, data governance, and collaboration across business and analytics teams.