Hybrid Data Platform Engineer

at Versana

• Job title: Data Platform Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $130,000 - $160,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Java, Python, SQL
• Location requirements: Hybrid, New York City, United States

About the role

• Data Platform Engineer transforming operational data into clean, analysis-ready datasets for Versana's platform. Collaborating within a team to implement data engineering practices and ensuring data quality standards.

Responsibilities

• Design, implement, and operate ELT pipelines to ingest data into the lakehouse.**• Apply Medallion architecture and semantic layering to deliver curated datasets.**• Build and maintain durable data lakes sourced from operational systems, including sustainable ingestion, schema evolution, storage formats, partitioning, and performance.**• Secure data at rest and in transit by enforcing governance policies, including regular access reviews and auditability.**• Establish and enforce standards for data quality, observability/alerting, and lineage; uphold daily/hourly SLAs for critical reports and datasets.**• Drive CI/CD for data code reviews, documentation, and environment promotion; mentor and unblock teammates.**• Create and maintain tabular models and dataflows; optimize dataset refreshes, query performance, and usability.**• Partner with Product to translate requirements into robust models, metrics, and dashboards; collaborate with Application Developers on data contracts and change management for upstream systems.**• Support operational monitoring and alerting; ensure timely, trusted reporting for leadership and clients.**• Triage and fulfill ad-hoc data requests while improving self-service patterns and documentation.

Requirements

• B.S. or B.A in Computer Science or related field.**• 5–7 years in data engineering or analytics engineering.**• Strong SQL and practical experience with dbt for transformations and testing.**• Hands-on experience with data modeling and performance optimization.**• Professional coding experience with both Java and Python.**• Experience operating data ware/lake-houses and building semantic layers.**• Familiarity with CI/CD (DataOps), version control, and environment promotion.**• Data quality, observability, and alerting experience with a focus on SLAs and stakeholder trust.**• Experience with external client reporting, embedded analytics, and multi-tenant considerations (modeling, partitioning, access controls).**• Demonstrated ability to mentor or coach in software engineering practices.**• Effective communication and requirement gathering.