Senior Data Engineer

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 bring What 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) 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 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 are Schonfeld 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 Culture At 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. Compensation 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. EEO Statement Individuals seeking employment at Schonfeld are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We do not discriminate on any of these bases. Additional EEO Information At Schonfeld, we strive to cultivate a sense of belonging throughout all of our employees with Diversity, Equity and Inclusion at the forefront of this mission. As a firm we are committed to creating a hiring process which is not only fair, but also welcoming and supportive. As a part of that, we want to encourage candidates to voluntarily complete the following survey which helps us keep track of how we are doing in our efforts. Completion of the form is entirely voluntary . Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. Please note that all options below are as per EEOC guidelines and definitions. Race & Ethnicity Definitions American Indian or Alaskan Native - A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment. Asian - A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian Subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. Black or African American - A person having origins in any of the black racial groups of Africa. Hispanic or Latino - A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race. White - A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. Native Hawaiian or Other Pacific Islander - A person having origins in any of the peoples of Hawaii, Guam, Samoa, or other Pacific Islands. Two or More Races - All persons who identify with more than one of the above five races. #J-18808-Ljbffr