Staff Software Engineer, Data Platform Engineering

Job not on LinkedIn

🕒 August 31

🇺🇸 United States – Remote

💵 $187k - $234k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Paradigm Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💊 Pharmaceuticals

☁️ SaaS

💰 $203M Series A on 2023-02

Healthcare • Pharmaceuticals • SaaS

Paradigm Health is a clinical research company that re-engineers clinical trials around patient care by combining technology and services to support sponsors and research sites. Their platform and offerings include real-time protocol optimization, feasibility and site selection, patient identification and enrollment acceleration, trial data collection and delivery, and post-approval/late-stage evidence solutions. Paradigm integrates directly with health provider organizations to streamline collaboration, improve enrollment outcomes, and reduce operational burden on research teams. The company positions itself as a bridge between providers and sponsors to make clinical research more efficient, patient-centric, and scalable.

📋 Description

• Drive large cross-team initiatives within engineering from start to production • Own cross-team effects of work, break down work, and drive initiatives with appropriate stakeholders • Communicate effectively across the organization • Align architecture at the company level • Define and champion team best practices across the organization • Influence the product roadmap and shape impactful customer-focused products • Work through lean execution with iterations and feedback loops to deliver business value • Shape the engineering vision while owning data models and the toolchain for the data platform • Build and maintain robust batch and streaming pipelines using cloud technologies and distributed systems • Develop tools and processes to deploy configurational data and self-service tools • Enhance monitoring systems for infrastructure visibility and failure detection • Become a subject matter expert on diverse datasets and associated tooling • Ensure data privacy and security governance with cross-functional teams • Advocate for a scalable, maintainable data platform supporting evolving business needs • Understand business priorities and deadlines, execute impactful initiatives, communicate goals, and set expectations across engineering teams • Partner with product, AI, infrastructure, health systems integration, and business intelligence teams • Manage technical debt and mentor engineers cross-functionally • Set technical strategy and an incremental plan to redesign legacy data pipelines into a coherent, modular, reusable data platform

🎯 Requirements

• 10+ Years of experience • Extensive experience driving technical projects, prioritizing work, identifying dependencies, and facilitating technical decisions across teams • Deep expertise in SQL, data analysis, and data modeling • Strong understanding of distributed systems and cloud environments • Experience with data processing technologies like Spark or Flink for batch and microbatch analytics • Ability to evangelize and use data mesh design principles to build data products • Proven track record designing scalable, available, maintainable, and performant systems • Proficiency in coding (Python or other languages) • Knowledge of when to apply AI assisted development tools • Proficiency building infrastructure using major cloud providers, such as AWS • Experience with infrastructure as code solutions, such as Terraform • Willingness to learn and dive deep into the clinical data domain • Customer obsession as a core leadership principle • Legally authorized to work in the United States • Must answer whether visa sponsorship is required to work in the United States

🏖️ Benefits

• Equity • Equal employment opportunities