Versana

Data Platform Engineer

Versana

full-time

Posted on:

Location Type: Hybrid

Location: New York CityNew YorkUnited States

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Salary

💰 $130,000 - $160,000 per year

Tech Stack

About the role

  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLdbtdata modelingperformance optimizationJavaPythondata warehousingdata lakehousessemantic layersCI/CD
Soft Skills
mentoringcoachingeffective communicationrequirement gathering
Certifications
B.S. in Computer ScienceB.A. in Computer Science