
Sidekick Health is a digital health and therapeutics innovator founded by two passionate medical doctors on a mission to improve the health of humanity.
201 - 500 employees
November 20

Sidekick Health is a digital health and therapeutics innovator founded by two passionate medical doctors on a mission to improve the health of humanity.
201 - 500 employees
• Design, build, and maintain robust, scalable, and secure data pipelines (ETL/ELT) using technologies like SQL and Python. • Evolve our data infrastructure and data models within our Service-Oriented Architecture (SOA). • Develop and implement automation for data governance, quality checks, and compliant data masking/anonymization processes. • Optimize data warehouse performance and query execution. • Act as the designated and highly privileged onshore resource for troubleshooting and resolving escalated production incidents. • Execute sensitive operational tasks, database migrations, configuration changes, and pipeline validations. • Enforce and document strict adherence to all internal security policies, HITRUST requirements, and client-specific data handling protocols.
• 5+ years of experience as a Data Engineer or Backend Engineer focusing on data processing pipelines. • Strong proficiency in Python is preferred. • Expertise with relational and NoSQL databases, data warehousing concepts, and data modeling. • Experience with Kubernetes and Service-Oriented Architecture (SOA). • Proven experience with cloud data platforms (preferably Google Cloud or AWS), including tools such as BigQuery, and a good understanding of infrastructure as code (e.g., Terraform). • Exceptional personal integrity and a deep professional commitment to data privacy. • Must have experience or strong working knowledge of healthcare data regulations (HIPAA, HITRUST).
• 401k match • health insurance • generous PTO • top technology • flexible working hours • access to Sidekick health programs • and more!
Apply NowNovember 20
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