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Karoo Health · 1 day ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level

$150K/yr - $175K/yr

5+ years exp

Karoo Health is a venture-backed startup on a mission to transform cardiovascular care through better coordination, analytics, and disease management. They are seeking a skilled developer to design and build data systems and pipelines, ensuring data quality and compliance with healthcare regulations.

Health CareMedical

No H1B

Responsibilities

Design and Architect Data Systems : Lead the design, construction, installation, and optimization of highly reliable, scalable, and secure data architecture

Develop Data Pipelines : Build and maintain complex, production-grade data pipelines to ingest, process, and enrich large volumes of healthcare data

Data Quality and Governance : Establish and enforce data quality standards, monitoring, and validation processes to ensure the accuracy, completeness, and consistency of data used for analytics

Performance Optimization : Implement query tuning, indexing, and partitioning strategies to maximize the performance and efficiency of data processing systems and data retrieval

Cloud Infrastructure : Design and deploy scalable, secure, cloud infrastructure leveraging infrastructure-as-code best practices

Safeguard Data : Ensure strict compliance with healthcare data regulations (e.g., HIPAA, HITRUST) and implement data security best practices

Qualification

SQLPythonData WarehousesBig Data frameworksCloud platformsData PipelinesData QualityPerformance OptimizationDevOps practicesWorkflow orchestrationSystem architecture

Required

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, preferably within a startup or fast-paced healthcare technology environment

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) and 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 for managing data pipelines

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