Senior Software Engineer - Cloud & Data Pipelines (Hybrid)

Truveta; Seattle (WA); Hybrid; USD 155,000 - 190,000; Full time

Benefits offered by this job

Great benefits package

401K plan

Professional development & training

Flexible work hours

Flexible paid time off

Generous parental leave

Regular team activities

Stock options

Incentive pay

Job summary

Truveta is headquartered in the Greater Seattle area, and we are seeking software engineers to build automated, scalable ETL pipelines across multiple data sources, enabling faster, flexible data integration. You will collaborate with internal users to understand use cases and requirements, and contribute to a mission-driven health data platform.

Ideal candidates have 5+ years of production software experience, cloud-native expertise (AWS/GCP/Azure), and knowledge of distributed systems, with a

Qualifications

• 5+ years of experience building production quality software in a team setting.
• Experience building cloud services or data programming languages like Java, Python, or C#.
• 2+ years of experience working on modern cloud-native platforms (AWS, GCP, Azure).
• S. or M.S. in Computer Science or related field.
• Prior work with Kubernetes is a plus.

Responsibilities

• Build automated, scalable ETL pipelines across multiple data sources.
• Work with internal users to understand use cases and requirements.
• Guide workstreams, mentor junior developers, and foster a positive team environment.

Skills

Distributed systems design

Cloud-native platforms

Java, Python, or C#

Data pipelines

Mentoring and leadership

Education

BS/MS in Computer Science or related field

Tools

Kubernetes

Docker

CI/CD tooling

Git

Job description

Truveta is headquartered in the Greater Seattle area, and we are seeking software engineers to build automated, scalable ETL pipelines across multiple data sources, enabling faster, flexible data integration. You will collaborate with internal users to understand use cases and requirements, and contribute to a mission-driven health data platform.

Ideal candidates have 5+ years of production software experience, cloud-native expertise (AWS/GCP/Azure), and knowledge of distributed systems, with a