Staff Data Engineer

Verse

Staff Data Engineer owning data platform layer at Verse Medical, enhancing infrastructure for critical product and operational systems. Driving data accuracy and quality improvements for operational excellence.

Posted 7/21/2026full-timeNew York City • New York • 🇺🇸 United StatesLead💰 $200,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Snowflake platform management, data pipeline reliability, and data architecture optimization. Proficient in SQL, dbt, and Python for building high-performance data solutions while ensuring compliance and governance.

Highest-signal resume keywords

Snowflake ExpertiseExpert SQL SkillsData Pipeline ManagementAWS Infrastructure FluencyData Governance Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringDatabase EngineeringSoftware EngineeringPythonDbtSQLData ModelingCost OptimizationPerformance TuningSchema Drift Resilience

Soft Skills

Clear CommunicationIncident Response

Tools & Technologies

FivetranAirbyteTerraformAWS RDSS3VPC Networking

Industry Keywords

HIPAA ComplianceData GovernanceObservabilityData ArchitectureRegulated Data

Tech Stack

Tools & technologies

AWSPostgresPythonSQLTerraform

About the role

Key responsibilities & impact

Own and improve the Snowflake platform end-to-end, including the ongoing evolution of the environment as usage scales.
Own source pipeline reliability and expansion, evaluating existing connections for reliability, freshness SLAs, edge case handling, and schema drift resilience, while building net-new integrations.
Ensure data accuracy, quality, and compliance through governance, observability, and monitoring best practices.
Own pipeline incident response with speed and clear communication, identifying root causes that prevent recurrence rather than just restoring service.
Improve data architecture and storage solutions to enhance performance, reduce costs, and optimize batch workflows as usage and data volume scale.
Operate as the technical authority on data infrastructure decisions, setting standards and guiding architectural choices that hold up as the team and the platform scale.

Requirements

What you’ll need

8+ years of experience in data engineering, database engineering, or software engineering, with experience owning production data infrastructure end-to-end.
Deep Snowflake expertise, including warehouse configuration, RBAC and role hierarchy design, connector management, cost optimization, and performance tuning at the compute layer.
Expert SQL, dbt, and Python skills, with experience building complex, high-performance queries and production-grade pipeline code.
Proven experience building and maintaining source pipelines, including CDC via logical replication, Fivetran or Airbyte connector management, custom API ingestion, orchestration, and S3-based ingestion patterns.
Strong understanding of data modeling, governance, privacy, and observability best practices.
AWS infrastructure fluency, including RDS parameter groups, S3 bucket policies, IAM role configuration, VPC networking, and security groups.
Preferred: Experience working across application systems and data systems, with an understanding of how they interact.
Preferred: Experience with data platform migrations, specifically running legacy and new environments in parallel.
Preferred: Familiarity with healthcare or other regulated data (HIPAA compliance).
Preferred: Experience with Terraform or equivalent infrastructure-as-code tooling.
Preferred: Deep PostgreSQL expertise, including query optimization, database telemetry / monitoring / maintenance, index design, and RDS-specific configuration and tuning.
Preferred: Experience mentoring engineers and guiding cross-functional architectural decisions.

Benefits

Comp & perks

Competitive compensation.
Opportunities for rapid career advancement in a growing company.
100% premium coverage for health insurance.
401(k) with no matching at this time.