Flume Health Logo

Flume Health

Software Engineer - Data Platform

Reposted 19 Days Ago
In-Office or Remote
Hiring Remotely in New York, NY
140K-180K Annually
Senior level
In-Office or Remote
Hiring Remotely in New York, NY
140K-180K Annually
Senior level
As a Software Engineer, you will design and operate frameworks for data processing, build internal APIs, and ensure data security. You will collaborate on systems that handle real-time and batch workloads efficiently.
The summary above was generated by AI
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) 

Top Skills

Auth0
Cloud Run
Cloud Storage
Docker
GCP
Go
Iam
Iceberg
K Native
Kubernetes
Postgres
Pub/Sub
Python
Rest Apis
SQL
Trino

Flume Health New York, New York, USA Office

155 5th Ave Suite 400, New York, NY, United States, 10010

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account