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Flume Health

via Greenhouse

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Software Engineer - Data Platform

Anywhere
Full-time
Posted 12/3/2025
Direct Apply
Key Skills:
Go programming
Python
Apache Iceberg
Kubernetes
Google Cloud Platform
Distributed systems
Data pipelines
System design

Compensation

Salary Range

$140K - 180K a year

Responsibilities

Design and operate core distributed data processing frameworks and infrastructure, develop reusable APIs and frameworks, and ensure security and compliance of data services.

Requirements

5+ years software engineering experience with strong Go skills, experience with data lake architectures, GCP production systems, container orchestration, and distributed systems concepts.

Full Description

About Flume Health Flume Health is a software company that connects the fragmented healthcare data ecosystem for more efficient health plan administration. As a single, cloud-native integration platform, Flume’s Relay platform allows companies to easily connect various systems and vendors for efficient data exchange that’s increasingly demanded of the modern health plan. Payers, third-party administrators, prescription benefits managers, and health solutions are provided the simplicity, speed, and security they need to automate data integration and movement between relevant stakeholders. Relay supports multiple data transmission protocols, data types, and file types. By streamlining data flows between payers and solutions, a world of opportunity exists to improve access to healthcare. 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 Flume’s Perks & Benefits Flexible PTO - you’re going to be working hard so enjoy time off A robust stock option plan to give our employees a direct stake in Flume’s success WFH stipend - we’ve always been remote first Competitive compensation and 401k with a 4% match Comprehensive health coverage (medical, dental, vision)

This job posting was last updated on 12/5/2025

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