Job Title: Staff Data EngineerWe're hiring a
Staff Data Engineer to own the data platform layer at Verse. This is a high-impact role where you'll stand up and scale infrastructure that powers critical product and operational systems. You'll be the technical authority on everything from source pipelines and warehouse configuration to observability infrastructure and net new integrations. You'll be closing the gaps, raising the quality bar, and making architectural decisions that shape how the data function operates for years.
If you enjoy high ownership, solving complex problems, and having direct impact on the data strategy of the company, this role is for you.
What You'll Achieve: A Glimpse into Your Contributions- 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.
What You'll Bring: The Skills and Experience You'll LeverageWe believe that diverse experiences and backgrounds lead to better solutions. While we have an idea of what will help someone succeed in this role, we are open to being convinced by your unique story and skills. If you believe you can achieve the outcomes above, we encourage you to apply.
Core Skills & Experience:- 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:- 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.
This is a hybrid role based in our New York office and will require you to be in the office 4x in a week.
