Zocdoc

Engineer

• Personally motivated by solving complex, real-time technical puzzles.
• Autonomous, urgent, and creative. You genuinely love diagnosing system failures and searching for solutions that are complete, not just the obvious band-aid.
• Highly detail-oriented and meticulous about system reliability and performance.
• Passionate about maintaining the highest standards of data flow and system connectivity.
• A proactive problem-solver who anticipates and resolves issues before they impact the business.
• The kind of person who thrives on cross-functional collaboration with engineering and operations teams.
• Serious about your work, but not about yourself. Let’s face it - the way things are going, you kind of need a sense of humor.

Integration Health Engineer

Business Operations

• Acting as a strategic thought partner to stakeholders across the company, with a priority on an excellent user experience.
• Lead end-to-end execution of strategic initiatives with limited guidance, ensuring alignment with organizational objectives.
• Working with other analysts, solution architects, and system administrators to design and build scalable solutions.
• Gathering and documenting requirements via user stories, process flows, and functional specifications.
• Prioritizing business needs and establishing roadmaps for your assigned domains.
• Managing and scoping inbound feature and enhancement requests from internal users.

Lead Analyst, Business Systems

Customer Support

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Customer Experience Specialist

Full-stack Engineer

• Defining and evolving data contract standards across the company, including schema enforcement, versioning, and validation patterns.
• Designing interoperable ingestion and publishing frameworks that enable upstream producers (e.g., product engineering teams) to integrate seamlessly with the data platform.
• Building and standardizing APIs, libraries, or SDKs that simplify event logging, schema validation, and contract compliance.
• Establishing best practices for schema registry usage and distributed schema validation across streaming and batch systems (e.g., Kafka-based systems).
• Designing clear patterns for:
• When to use the data lake vs. the warehouse
• How curated layers are exposed
• How downstream consumers access data safely
• Leading reverse ETL and activation architecture to support operational use cases.
• Defining and enforcing access control, governance, and compliance standards (e.g., PHI/PII handling, DEID boundaries, RBAC).
• Partnering with Product Engineering, Security, Compliance, Analytics Engineering, and Infrastructure to align on standards and long-term direction.
• Mentoring engineers and influencing engineering culture around data quality, ownership, and contracts.
• Driving adoption of AI-assisted development practices (e.g., cloud-based coding environments, internal AI tooling, or agentic workflows) to accelerate platform delivery.
• Designing guardrails for AI access to data systems, including scoped permissions, auditing, and compliance-aware controls.
• Partnering with product and AI teams to ensure our data contracts, schemas, and curated layers are AI-consumable and safe by default.
• Evaluating how internal data platform assets can power AI use cases and intelligent automation across the company.

Staff Software Engineer, Data Platform

• Design and ship platform services for ingestion, transformation, orchestration, and metadata (e.g., service‑backed interfaces for Dagster/Airflow, lineage, quality, and data contracts).
• Build execution & scheduling capabilities for Spark/SQL jobs (queuing, prioritization, retries, resource isolation on EMR/EKS/Databricks), focusing on throughput and developer experience.
• Implement lakehouse features (Delta/Iceberg): schema evolution, partitioning, compaction, vacuum, snapshotting, ACID guarantees, and table‑format governance
• Optimize Snowflake and other warehouses: cost controls, query profiling/pruning, workload isolation, RBAC; expose safe self‑service patterns.
• Deliver SDKs, CLIs, and templates that standardize how teams build reliable data products; enable CI/CD for data and contract testing.
• Work across AWS (S3, EMR/EKS, Glue/Athena, Lambda, Kinesis/MSK) with IaC (Terraform) and strong observability (Datadog/CloudWatch).

Staff Software Engineer, Data Infrastructure

DevOps Engineer

• Monitoring and maintaining complex cloud-based infrastructure, systems, and services and ensuring their uptime to help millions of patients get the care they need
• Automating and developing our tooling, processes, and infrastructure to speed up development and make them repeatable and error-proof
• Supporting our large product engineering org with their scaling, performance, and uptime needs as well as helping diagnose and debug production related issues
• Analyzing and performance tuning systems, code, and networking for scaling and optimal operation
• Working with cutting edge GenAI tools and technology

Senior Site Reliability Engineer

• Leading the technical direction of Zocdoc’s acquisition platform, enhancing system stability and user experience. Guiding technical discussions, ensuring decisions are scalable and dependable, and aligning infrastructure with the team’s broader mission
• Building scalable APIs and microservices that power frictionless data access and informed patient decision-making
• Collaborating with design counterparts to iterate on user experiences and improve the overall customer journey
• Proactively engaging with product counterparts to align on vision, strategy, and execution, ensuring projects stay on track and deliver business value
• Mentoring engineers and driving team excellence through coding standards, automation, and continuous improvement
• Leading bold innovation initiatives centered on AI, leveraging emerging data sources and cutting-edge architectures to position Zocdoc as a leader in healthcare technology