Staff Data Engineer

🕒 September 24

🇺🇸 United States – Remote

💵 $170k - $200k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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PerfectServe

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2003

🏥 Healthcare

⚕️ Healthcare Insurance

☁️ SaaS

💰 Private Equity Round on 2018-05

Healthcare • Healthcare Insurance • SaaS

PerfectServe is a healthcare technology company that specializes in clinical communication and collaboration solutions. The company provides tools to improve communication between healthcare professionals, streamline clinical workflows, and enhance patient engagement. Its products include medical answering services, provider scheduling, and a healthcare operator console, all designed to ensure effective and secure communication across care settings. PerfectServe aims to reduce administrative burdens and support provider wellness while maintaining compliance with industry regulations. Trusted by over 30,000 healthcare organizations, PerfectServe integrates with existing healthcare systems to optimize provider scheduling, improve patient and family communication, and enable virtual care.

📋 Description

• Own the implementation design across the platform — ingestion, modeling, and the surfaces people consume • Shape the detailed architecture from the high-level direction, working with the architecture team • Own integration design across a varied set of production source systems • Build ingestion pipelines from those systems • Model raw data into business-ready datasets, with one agreed definition per metric • Set the engineering standards the team works to, including data quality and testing • Partner with platform and operations teams on safe, low-impact extraction from production databases • Work directly with data users so what gets built answers real questions • Mentor data engineers and help shape their work

🎯 Requirements

• Substantial experience building and operating cloud data platforms, ideally including one you designed from scratch • Comfort making decisions with incomplete information, and the judgement to know which ones are expensive to get wrong • Deep SQL, and strong command of a cloud data warehouse (Snowflake, BigQuery, Databricks or similar) • A transformation framework such as dbt, with clear opinions on how to structure a project • ELT and change-data-capture experience across relational sources • AWS — read replicas, object storage, and moving data between regions without surprises • Dimensional or medallion modeling, applied rather than theoretical • Workflow orchestration (Airflow, Dagster, Prefect or similar) and data quality testing as a habit

🏖️ Benefits

• Remote first work environment • Health, Dental, Vision, Life and Disability Insurance options available day one. • 401K - with match and immediately vested. • 17 company holidays, 2 floating holidays plus competitive paid time off policy • Internal Advancement Opportunities