Distributed Data Processing Engineer

Socket.dev; Seattle (WA); Hybrid; USD 110,000 - 145,000; Full time

Benefits offered by this job

Benefits package

Job summary

Truveta, headquartered in the Seattle area, is seeking a Software Engineer - Data Processing to design and implement data processing pipelines and large-scale platforms in a healthcare context.

You will contribute across the SDLC, collaborate with cross-functional teams including product managers and architects, and tackle distributed data challenges at scale. The role emphasizes cloud-native architectures and DevOps practices, with competitive base pay.

Qualifications

• Bachelor’s degree in CS/SE/CE/IS or related field; advanced degree a plus.
• 3+ years of professional software engineering experience; design, build, operate distributed systems at scale.
• Experience with cloud-native architectures and DevOps (Azure preferred; AWS/GCP also relevant).

Responsibilities

• Build large-scale distributed systems and data pipelines.
• Participate in all SDLC stages from design to deployment and operations.
• Collaborate with product managers, clinical informaticist, architects, and engineers.
• Solve healthcare data processing challenges and optimize performance.

Skills

Distributed systems

Cloud-native

DevOps

Multithreading

Education

Bachelor's degree

Tools

Azure

AWS

GCP

Job description

Truveta, headquartered in the Seattle area, is seeking a Software Engineer - Data Processing to design and implement data processing pipelines and large-scale platforms in a healthcare context.

You will contribute across the SDLC, collaborate with cross-functional teams including product managers and architects, and tackle distributed data challenges at scale. The role emphasizes cloud-native architectures and DevOps practices, with competitive base pay.