Senior Data Engineer

🕒 February 18

🇺🇸 United States – Remote

💵 $142k - $162.5k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

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

Upload Resume

Tebra

WebsiteLinkedInAll Job Openings

501 - 1000 employees

⚕️ Healthcare Insurance

☁️ SaaS

💰 Debt Financing on 2022-07

Healthcare Insurance • SaaS • Health

Tebra is a comprehensive technology platform designed to streamline the operations of independent healthcare practices. It provides an all-in-one solution that optimizes practice efficiency by integrating electronic health records, revenue cycle management, and patient scheduling with over 130 healthcare systems. Tebra offers tools for practice growth, patient experience, care delivery, billing and payments, and data insights. The platform helps practices attract more patients, manage their reputation, enhance patient experience, and automate operations while ensuring full security and HIPAA compliance. Tebra is tailored for family medicine, pediatrics, primary care, and psychology specialties, enabling them to deliver better care, get paid faster, and gain deeper insights through data-driven practice management.

📋 Description

• Architect and write software that solves complex business problems. • Own and serve as a Subject Matter Expert (SME) for large software systems. • Continuously monitor data pipelines in production and implement automated recovery systems. • Lead Engineering Design Reviews, providing well-articulated explanations for decisions. • Write software frameworks that can be extended by others on the team. • Translate business requirements into software solutions. • Know when and how to optimize complex code. • Collaborate cross-functionally including ML engineers. • Expert at scoping tasks.

🎯 Requirements

• 5+ years of professional software development experience. • Deep technical subject matter expertise in 3+ general areas of software development (e.g., Big Data Processing, Distributed Systems, Data Modeling). • 3+ years of hands-on experience in Data Engineering with a focus on supporting analytics or data science teams. • Advanced proficiency in Python and SQL. • Proven ability to architect and write software that enables ML at scale—moving beyond simple ETL to building robust data platforms. • Strong background in modern data infrastructure relevant to AI (e.g., Spark, Airflow, Kafka, Vector Databases). • Experience with Data Lake/Lakehouse architectures (e.g., Databricks, Snowflake, Delta Lake). • Familiarity with MLOps concepts. • Proven ability to deploy and maintain data systems in production.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options • Wellness and childcare subsidy • Education discounts