Staff Infrastructure Engineer, Data

Job not on LinkedIn

October 20

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Logo of Zocdoc

Zocdoc

Healthcare Insurance • Marketplace • Wellness

Zocdoc is a digital health platform that connects patients with healthcare providers, allowing users to book appointments online with doctors and dentists who accept their insurance. The service offers a wide range of specialties, including primary care, dentistry, ob-gyn, dermatology, and psychiatry, among others. Zocdoc aims to make healthcare access easier by providing an app for appointment scheduling and management, enhancing the visibility and reputation of healthcare providers through verified reviews, and serving as a partner for health systems and private practices. The company does not provide medical advice but facilitates the connections and processes necessary for patients to access healthcare services efficiently.

501 - 1000 employees

Founded 2007

⚕️ Healthcare Insurance

🏪 Marketplace

🧘 Wellness

💰 $150M Private Equity Round on 2021-02

📋 Description

• Own platform reliability & operations for data infrastructure: capacity planning, incident response/on‑call, disaster recovery, and performance tuning across compute and storage (e.g., Databricks, Snowflake, Glue/Athena, Kinesis/Kafka). • Architect the lake / lakehouse layers (Delta Lake / Apache Iceberg / Hudi) with clear data contracts, schema evolution, compaction, and retention; build the controls that make it safe and fast. • Harden platform surfaces (networking, IAM, encryption, key management, VPC endpoints/PrivateLink, Lake Formation/Unity Catalog) for PHI/PII, auditing, and least‑privilege by default. • Establish observability for data systems (Datadog/CloudWatch): golden signals, lineage, SLIs/SLOs, and cost telemetry/FinOps. • Infrastructure‑as‑Code everything (Terraform/CDK) including EMR/EKS clusters, Snowflake roles/warehouses, secrets, and CI/CD for data platform changes. • Optimize warehouse usage (Snowflake preferred; BigQuery/Redshift welcome): warehouse sizing/queuing, clustering, pruning, caching, RBAC, cost controls. • Partner with data engineering & security to set platform standards (orchestration like Dagster/Airflow; governance via Unity Catalog/Collibra/Lake Formation; quality and metadata services).

🎯 Requirements

• 8+ years in infrastructure/SRE/platform engineering (or hybrid data platform) with deep AWS expertise (networking, IAM, CDK, S3, EKS, EMR, Glue, Lambda; multi‑account patterns). • Expertise running distributed data processing at scale with Spark (Databricks or EMR/EKS), plus working knowledge of Hadoop/Hive/Presto/Trino. • Strong SQL fundamentals and data modeling; Snowflake (or BigQuery/Redshift) performance and cost optimization. • Proven leadership establishing SLOs, runbooks, incident response, and reliability tooling for data platforms. • Solid IaC (Terraform), CI/CD, and security‑by‑default mindset for PHI/PII.

🏖️ Benefits

• Flexible, hybrid work environment at our convenient Soho location • Unlimited Vacation • 100% paid employee health benefit options (including medical, dental, and vision) • Commuter Benefits • 401(k) with employer funded match • Corporate wellness programs with Headspace and Peloton • Sabbatical leave (for employees with 5+ years of service) • Competitive paid parental leave and fertility/family planning reimbursement • Cell phone reimbursement • Catered lunch everyday along with beverages and snacks • Employee Resource Groups and ZocClubs to promote shared community and belonging • Great Place to Work Certified

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