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Singlestore Singlestore Jobs (NOW HIRING)

Schonfeld

Quantitative Data Engineer

New York, NY · On-site

$200K - $220K/yr

Hands-on with SingleStore/MemSQL, Spark/Flink/EMR and event buses (Kafka/Kinesis) * Proven AWS skills plus Terraform / CloudFormation infrastructure-as-code mastery * Experience delivering data ...

BofA Securities

Senior Technology Services Lead

Plano, TX · On-site

$117K - $183K/yr

Knowledge of Linux based database such as MongoDB, TigerGraph, SingleStore, or Cassandra. * Powershell or Python programming knowledge. Skills: * Collaboration * Influence * Production Support * Risk ...

Sarian, Inc.

NO SQL DBA

Chandler, AZ · On-site

$49.25 - $61.50/hr

Distributed Database like Redis, SingleStore, Cassandra etc. * Production Support for System Administration. Secondary: * DevOps. * Shell/Ansible Scripting. Manikanth Sarian Solutions, Inc. Ph: 732 ...

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What are the key skills and qualifications needed to thrive as a SingleStore Database Administrator, and why are they important?

To thrive as a SingleStore Database Administrator, you need expertise in database management, SQL programming, and a solid understanding of distributed systems, often supported by a degree in computer science or a related field. Familiarity with SingleStore Studio, command-line tools, cloud platforms (AWS, Azure, GCP), and relevant certifications are valuable. Strong problem-solving, attention to detail, and effective communication skills help in resolving issues and collaborating with development teams. These competencies are crucial for ensuring database reliability, optimizing performance, and supporting scalable applications.

What is the difference between Singlestore Singlestore vs Data Engineer?

AspectSinglestore SinglestoreData Engineer
Primary RoleDatabase platform and data managementDesigning, building, and maintaining data pipelines
Required SkillsDatabase administration, SQL, data architectureSQL, ETL, programming, data modeling
Work EnvironmentData platform deployment, cloud/on-premisesData pipeline development, cloud/on-premises
Industry UsageData storage and analytics solutionsData processing and analytics projects

Singlestore Singlestore focuses on providing a high-performance database platform for data storage and analytics, while Data Engineers develop and maintain data pipelines and infrastructure. Both roles require SQL and data management skills but serve different functions within data ecosystems.

What is a SingleStore Engineer?

A SingleStore Engineer is a technology professional who specializes in working with SingleStore, a high-performance distributed SQL database designed for real-time analytics and operational workloads. Their responsibilities typically include designing, deploying, and managing SingleStore databases, optimizing query performance, ensuring data security, and integrating SingleStore with other data systems. They also troubleshoot issues, monitor system health, and support data-intensive applications by leveraging SingleStore's features like in-memory processing and horizontal scalability.

What are some common challenges faced by engineers working with SingleStore databases, and how can they be addressed?

Engineers working with SingleStore databases often encounter challenges related to optimizing distributed queries and managing large-scale data ingestion. Balancing performance tuning with cost efficiency can be complex, especially when dealing with real-time analytics and high concurrency. Collaborating closely with data architects and DevOps teams can help identify bottlenecks and implement best practices for sharding, indexing, and resource allocation. Continuous learning about SingleStore's evolving features and participating in community forums can also aid in troubleshooting and professional growth.
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Infographic showing various Singlestore Singlestore job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 89% Physical, 7% Hybrid, and 4% Remote job distribution.
Quantitative Data Engineer

Quantitative Data Engineer

Schonfeld

New York, NY • On-site

$200K - $220K/yr

Full-time

Posted 28 days ago

Job description

The Role
As the driving force behind Schonfeld's next-generation data platforms, you will architect, operate, and continually refine underlying platform that empowers research, systematic trading, AI and risk analytics. On top of this robust foundation, you'll build and run high-throughput pipelines spanning ultra-low-latency market-data streams to cost-efficient end-of-day workflows. Partner closely with quants, data scientists, and fellow engineers to achieve sub-minute SLAs, shape firm-wide architecture, and mentor peers. We believe diverse backgrounds and voices spark better ideas and more resilient systems, so you'll join an inclusive culture where every perspective counts.
What you'll do
  • Architect and operate the platform - 24x7 reliability, IaC-driven deployments, tight cost controls
  • Build and evolve batch and streaming pipelines that ingest billions of market-data events each day
  • Architect high-performance, cost-efficient Lakehouse tables
  • Expose curated datasets via robust, versioned APIs consumed by quants and AI agents
  • Optimize workflows to meet aggressive SLAs, embedding observability and automated data quality checks end-to-end
  • Champion Infrastructure-as-Code with Git-driven CI/CD for every data asset
  • Mentor junior engineers and enforce best-in-class coding standards
  • Continuously refine processes to keep our data ecosystem resilient and lightning-fast

What you'll bringWhat you need:
  • 7+ years building production data platforms with Python and SQL
  • Deep expertise in big-data architecture: partitioning, sharding, columnar formats
  • Hands-on with SingleStore/MemSQL, Spark/Flink/EMR and event buses (Kafka/Kinesis)
  • Proven AWS skills plus Terraform / CloudFormation infrastructure-as-code mastery
  • Experience delivering data services for AI/ML workloads and feature pipelines
  • Experience building AI/ML feature stores or RAG pipelines
  • Performance-tuning Postgres, SingleStore/MemSQL, or KDB for sub-second queries
  • Proficient in API design, versioning, and OpenAPI/Swagger documentation
  • Comfortable collaborating directly with traders, quants, and data scientists

We'd love if you had:
  • Market-data domain expertise (tick, options, macro)
  • Mastery of Iceberg, Delta Lake, or Hudi on S3
  • Hands-on work with real-time analytics engines such as SingleStore/MemSQL
  • Skill with performance profiling tools
  • Contributions to open-source data tooling or technical talks

Who we areSchonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.
Our CultureAt Schonfeld, we'll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas-at all levels-to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm's walls.
The base pay for this role is expected to be between $200,000 and $220,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.
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