Data Engineer

Job not on LinkedIn

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $115k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

infoinfo
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of PerfectServe

PerfectServe

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

• Build and maintain ingestion pipelines from production source systems • Write transformation models that turn raw data into datasets people can trust • Apply dimensional and medallion modelling patterns as the warehouse takes shape • Deploy pipelines to production, and test them properly — idempotency, data quality checks • Contribute to data model and schema design, and to design reviews • Document what you build, including runbooks for the pipelines you own • Work closely with a staff data engineer and a platform engineer while building PerfectServe's data platform

🎯 Requirements

• Professional experience building data pipelines, with production ownership of at least some • Strong SQL, and a working programming language — Python, Go or equivalent • Hands-on dbt, or another transformation framework • A cloud data warehouse — Snowflake, BigQuery, Redshift or similar • Practical ELT and orchestration experience (Fivetran, Airflow or equivalent) • Working AWS knowledge — object storage, access basics, and enough networking to reason about where data moves • A testing instinct for data, not only for code

🏖️ 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

Apply Now

Similar Jobs

🔥 8 minutes ago

DMI (Digital Management, LLC)

1001 - 5000

💼 Consulting

🏥 Healthcare

📦 Logistics

Data Engineer managing SQL Server databases, performance, security, upgrades, and recovery. Supporting DMI’s secure managed IT and digital services for government and commercial clients.

🔥 22 minutes ago

The University of Kansas Health System

10,000+ employees

🏥 Healthcare

⚕️ Healthcare Insurance

📚 Education

Senior Data Engineer leading enterprise data pipelines, governance, and Power Platform solutions for a health system. Integrating Azure, Microsoft Fabric, EMR, and AI/ML workloads.

🔥 29 minutes ago

WashU IT

501 - 1000

📚 Education

🏢 Enterprise

☁️ SaaS

Data Architect developing XNAT medical imaging informatics solutions for Washington University’s research and clinical programs. Managing data architecture, integrations, testing, and platform releases.

🔥 43 minutes ago

CrowdStrike

5001 - 10000

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

Senior Platform Data Engineer architecting CrowdStrike’s cybersecurity analytics infrastructure. Operating Airflow, Superset, Terraform, cloud platforms, and data workflows at scale.

🔥 46 minutes ago

Symbotic

501 - 1000

🔧 Hardware

📦 Logistics

🤖 Artificial Intelligence

Senior Data Engineer building cloud-native data platforms for Exol’s automated warehousing business. Developing scalable pipelines, data services, and infrastructure for analytics, products, and AI.