Senior Data Engineer

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October 25

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Rezilient Health

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Healthcare Insurance • SaaS

Rezilient Health is a healthcare company offering a primary and multi-specialty care benefit designed to be both comprehensive and cost-effective for businesses and their employees. It provides integrated healthcare services through its CloudClinics, virtual care, and connected digital devices, allowing employees to access high-quality healthcare efficiently and affordably. The company emphasizes preventative care and sustainable health outcomes while reducing reliance on emergency and urgent care services, thereby lowering overall healthcare costs for businesses. Rezilient Health's innovative approach includes same-day in-clinic and virtual appointments, along with 24/7 messaging access to healthcare providers.

51 - 200 employees

⚕️ Healthcare Insurance

☁️ SaaS

📋 Description

• Design, build, and maintain data pipelines that ingest, process, and transform data from various sources, including clinical operations, patient interactions, and system performance. • Collaborate with data scientists, analysts, and business stakeholders to understand requirements and enable reliable, data-driven product features and insights. • Develop and manage the data infrastructure, including databases, data lakes, warehouses, and ETL processes. • Optimize query performance and storage strategies to handle large, complex datasets. • Ensure data integrity, accuracy, and security across all stages of the data lifecycle, and support compliance with healthcare regulations (e.g., HIPAA). • Implement best practices in data modeling, database design, and data architecture to support robust analytics and reporting capabilities, as well as downstream ML / AI applications. • Create and maintain documentation for data engineering processes and pipelines. • Stay current with industry best practices and emerging technologies in data engineering and architecture.

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. • 3+ years of experience in data engineering, analytics, or a related role. • Strong proficiency in SQL and experience working with large-scale databases and data warehouses. • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and data warehouse solutions (e.g., Redshift, BigQuery, Snowflake). • Proficiency in programming languages such as Python or Scala for data processing and analysis. • Familiarity with ETL frameworks and tools like Apache Airflow, dbt, or similar. • Strong understanding of data governance, data quality, and healthcare compliance and security best practices. • Ability to work cross-functionally and communicate technical concepts to non-technical stakeholders.

🏖️ Benefits

• This opportunity offers the chance to shape the future of healthcare in a culture where your ideas and contributions have a meaningful impact on the organization's future. • You’ll be part of a supportive, collaborative, and diverse team, with competitive compensation and benefits that include generous PTO, paid family leave, comprehensive medical, dental, vision, and life insurance, as well as stock options.