Data Engineer

🕒 May 5

🏢🏡 New York City – Hybrid

💵 $150k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Verse

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚕️ Healthcare Insurance

☁️ SaaS

Healthcare Insurance • SaaS

Verse is a company that provides in-home healthcare services for the 21st century, utilizing software that enables high-quality and reliable care at home. The company offers an easy-to-use software platform for clinics, allowing them to track all care referrals and orders efficiently. With coverage in all 50 states, Verse acts as an extension of clinics, saving nurses time and resources. They accept all insurances and focus on delivering a reliable patient experience. Their platform aims to streamline communication and logistics, eliminating the need for traditional methods such as fax and phone.

📋 Description

• Design, build, and manage robust data pipelines that ingest, process, and integrate data from multiple sources. • Develop clean, well-structured data models that support business operations, executive reporting, and advanced analytics. • Improve data architecture and storage solutions to enhance performance, reduce costs, and optimize batch and real-time workflows. • Ensure data accuracy, quality, and compliance through governance, observability, and monitoring best practices. • Work across technical and non-technical stakeholders to translate business problems into scalable, actionable data solutions. • Own the ongoing reliability and evolution of production data products, driving projects from concept to execution. • Operate with initiative and autonomy in a fast-paced, mission-driven environment.

🎯 Requirements

• 4+ years of experience in data engineering, analytical engineering, or data architecture. • Strong SQL and Python skills, with experience building complex, high-performance queries. • Deep experience with modern data stack tools, including data integration tools (e.g., Fivetran, Airbyte), transformation frameworks (e.g., dbt), and modern data warehouses (e.g., Snowflake, BigQuery, Redshift). • Proven ability to design, build, and scale end-to-end data infrastructure, including pipelines, schemas, dimensional models, analytics layers, and ML-ready datasets. • Strong understanding of data modeling, governance, privacy, and observability best practices. • Excellent problem solving, communication and analytical skills, with the ability to translate technical concepts for non-technical audiences. • Preferred: Experience leading full-stack data architecture and making strategic data platform decisions. • Preferred: Experience with data platform migrations. • Preferred: Familiarity with healthcare or other regulated data (HIPAA compliance).

🏖️ Benefits

• Competitive compensation. • Opportunities for rapid career advancement in a growing company. • 100% premium coverage for health insurance. • 401(k) with no matching at this time.