The Role:

At  Flume Health, we’re simplifying healthcare administration through modern technology. We’re seeking a highly capable software engineer to help design and evolve the core data platform that powers our data lake, pipelines, and integrations. You’ll play a key role in shaping the foundational systems that ingest, structure, and serve healthcare data,  from payer claims and eligibility to EDI transactions, securely and at scale. This role is ideal for an experienced engineer who thrives in hands on technical work and platform design and enjoys building high impact, reliable data infrastructure in a startup environment.

What You’ll Do:

• Design, build, and operate the  core frameworks and infrastructure for distributed data processing using technologies that include Go, Python, Iceberg, K8’s
• Develop reusable frameworks, libraries, and internal APIs that make it easy for product and data teams to build reliable pipelines and integrations.
• Architect systems that handle both real‑time and large‑scale batch workloads efficiently, ensuring reliability, observability, and cost‑effectiveness.
• Collaborate with data engineers, backend engineers, and analysts to evolve our ecosystem of data sources, connectors, and quality controls.
• Collaborate and document engineering standards for how we build, deploy, and operate data services.
• Help ensure security and compliance of all data movement and storage.

What You’ll Need:

• 5+ years of professional software engineering experience focused on backend or platform systems.
• Strong proficiency in Go, including building concurrent and distributed systems.
• Experience with data lake architectures, especially Apache Iceberg or Delta Lake, and familiarity with engines like Trino /  Presto / Dremio.
• Solid experience operating production systems on Google Cloud Platform (GCP): Cloud Storage, IAM, Pub/Sub, Cloud Run / K Native, etc.
• Familiarity with containerization and orchestration (Docker, Kubernetes, K Native).
• Solid understanding of distributed systems concepts (scalability, reliability, consistency).
• Experience developing data pipelines or ingestion frameworks, ideally in Go or Python.
• Strong system‑design and problem‑solving skills, especially around large‑scale data movement and performance.
• Collaborative mindset with excellent communication skills.

Nice to Have:

• Prior experience with healthcare payer systems or healthcare data standards (EDI, X12, FHIR, HL7).
• Deep understanding of data lakehouse concepts (schema evolution, ACID tables, metadata/catalog management).
• Experience building secure internal developer platforms or data quality frameworks.
• Compliance‑driven environment experience (HIPAA, SOC 2).
• Familiarity with Auth0 or similar identity & access management solutions.

Technologies We Use:

• Languages: Go (primary), Python, SQL
• Data Lake & Query: Iceberg, Trino
• Cloud & Infra: Knative, GCP (Storage, Cloud Run, Pub/Sub)
• Databases & APIs: PostgreSQL, REST APIs, Auth0

Salary Range:

• $140K to $180K