9 days ago
Base Salary
$180k - $250k/yr
Responsibilities
- Design, develop, and optimize SingleStore and PostgreSQL schemas, SQL queries, physical data models, indexes, and workloads.
- Build and maintain batch, streaming, and CDC ingestion pipelines with validation, transformation, enrichment, and data curation.
- Lead technical assessments and migrations of applications and data workloads to SingleStore and onboard new teams, applications, and services.
- Build self-service onboarding capabilities including APIs, configuration templates, automated provisioning, access requests, pipeline deployment, and operational guardrails.
- Optimize cloud database costs through right-sizing, consolidation, scheduling, performance tuning, and transparent cost allocation and showback.
- Own production readiness and database reliability through monitoring, incident triage, root-cause analysis, recoverability, deployment controls, and collaboration with SingleStore Helios support.
- Integrate data quality, lineage, ownership, and access controls into delivery workflows with data catalog and governance teams.
- Create engineering standards, automated tests, documentation, and cross-region handoffs to reduce manual operational work.
Requirements
- 7+ years of hands-on experience in data platform engineering, database engineering, or closely related production data roles.
- Advanced SQL and PostgreSQL expertise, including query plans, schema design, performance tuning, and operational troubleshooting.
- Strong Python skills and practical experience developing production-grade ingestion and transformation pipelines with testing and observability.
- Experience with distributed or cloud-managed databases and modern data integration patterns including batch and CDC.
- Experience using cloud object storage as an ingestion and staging layer.
- Ability to own end-to-end technical delivery, collaborate with application teams, and independently solve complex production issues.
- Preferred experience with SingleStore or SingleStore Helios, including pipelines, performance tuning, and workload design.
- Preferred experience with Kafka or similar streaming platforms, infrastructure as code, CI/CD, and API-driven platform automation.
- Preferred experience building self-service data platforms, data quality frameworks, metadata or catalog integrations, chargeback or showback reporting, cloud FinOps, database migrations, or financial-services enterprise data.
Benefits
- The role may include performance bonus and a competitive benefits package.
- The company provides learning and educational offerings and opportunities to make an impact.
- The company supports internal networks, external partnerships, and service initiatives promoting inclusion and purpose.
Tech Stack
Categories
Data Engineering
About Schonfeld
Schonfeld is a privately held, multi-manager hedge fund that allocates capital to internal and external portfolio managers across quantitative, fundamental equity, tactical trading, and discretionary macro/fixed-income strategies. The firm manages money for institutional and other sophisticated investors and supports teams with proprietary technology, infrastructure, and risk analytics. Founded in 1988 and headquartered in New York, it operates globally with an investing footprint spanning five continents.