Senior Data Engineer

🕒 March 18

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 50%

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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Karoo Health

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

🛡️ Insurance

🌍 Social Impact

💰 $3.4M Seed Round on 2023-06

Healthcare • Insurance • Social Impact

Karoo Health is dedicated to improving the lives of cardiac patients in America. The company aims to transform the existing care model, enhancing patient outcomes while significantly reducing costs. Karoo employs a value-based approach that integrates traditional, guideline-based care along with advanced digital tools to deliver on its mission.

📋 Description

• Lead the design, construction, installation, and optimization of highly reliable, scalable, and secure data architecture • Build and maintain complex, production-grade data pipelines to ingest, process, and enrich large volumes of healthcare data • Establish and enforce data quality standards, monitoring, and validation processes • Implement query tuning, indexing, and partitioning strategies to optimize data processing and retrieval • Design and deploy scalable, secure cloud infrastructure using infrastructure-as-code best practices • Ensure compliance with healthcare data regulations such as HIPAA and HITRUST • Implement data security best practices • Collaborate with the founding team to define technical solutions for a healthcare technology platform

🎯 Requirements

• Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience • Minimum 5 years of dedicated professional experience in a Data Engineering role • Expert proficiency in SQL and at least one programming language used for data processing (Python or Scala) • Deep experience designing and managing Data Warehouses (e.g., Snowflake, Google BigQuery, AWS Redshift) • Experience with Data Lake technologies (e.g., S3, Delta Lake) • Demonstrated hands-on experience with Big Data processing frameworks like Apache Spark or Dask • Deep understanding of cloud platforms (AWS preferred) and cloud-native development, including services like S3, Lambda, and RDS • Hands-on experience with workflow orchestration tools such as Apache Airflow or AWS Step Functions • Expert knowledge of system architecture, scalability, and performance optimization for data systems • Experience with test automation, CI/CD, and DevOps best practices for data deployments • Ability to work independently and make high-impact technical decisions • Must be legally authorized to work in the United States and not require employer sponsorship now or in the future

🏖️ Benefits

• Competitive salary and equity in an early-stage startup • Possibly fully remote work environment with flexible hours • Health benefits • Learning stipends • Professional development support • Collaborative and transparent company culture that values creativity and ownership • Equitable compensation practices • Employee resource groups • Inclusive benefits