Senior Data Engineer
Job Description
Schonfeld Strategic Advisors LLC has an opening for a Senior Data Engineer, Front Office Development in New York, NY and Miami, FL.
The position duties are as follows: Re-envision Schonfeld’s data platform including the data-processing pipeline, research and back-testing infrastructure in the cloud, which will allow the firm’s Portfolio Managers to analyze data, back-test their strategies, and deploy them to production seamlessly. Utilize strong technology skills, advanced programming languages such as Python and C++, and experience with Cluster/Scheduler software solutions to carry out the following day-to-day job duties:
- Maintaining, enhancing, and optimizing functionality within the Data Platform;
- Creating new functionality within the firm’s data processing pipelines, including integrating new data formats, creating new analytic tools, and enhancing parallel compute capabilities;
- Working on Proof of Concepts (POCs) to find solutions or improvements to the firm’s existing technologies and investigating new technologies for implementation;
- Building, deploying, running, and debugging code at scale on the cloud using containers;
- Collaborating with Portfolio Managers and the Data Science and Data Ops teams to identify functionality and access gaps in loading data sets and ensure that they are closed; and
- Providing mentorship for junior data engineers.
The position requires a a Bachelor’s Degree in Business Intelligence and Analytics, Computer Science, Software Engineering, Information Technology, or a related field or foreign equivalent, followed by 5 years of progressively responsible experience as a Data Engineer, Developer, or an equivalent role within the financial services industry. Experience must include:
- 4 years of experience working with Python, including processing large datasets using cloud components within 60 minutes, writing library-quality, reusable code, understanding data science tools such as Jupyter, and working in an iterative manner following Agile principles;
- 5 years of experience working with Cluster/scheduler software solutions;
- 3 years of experience processing, analyzing and supporting global equities and futures market data, including expressing data quality score cards for datasets;
- 3 years of experience building, deploying, running, and debugging code on the cloud;
- 3 years of experience using Amazon Web Services (AWS) to process large datasets using AWS serverless services, and to understand and implement AWS roles and permissioning;
- 5 years of experience handling Level 3 support issues; and
- 4 years of experience with high volume (terabyte and petabyte scale) “five-nines” high availability distributed systems.
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Telecommuting permitted up to two (2) days per week.
The base pay for this role is expected to be between $205,000 to $285,000/year. 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.
CV to Radhika Arora, Schonfeld Strategic Advisors LLC at [email protected]. Schonfeld Strategic Advisors LLC is an Equal Opportunity Employer.
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Date Posted
05/18/2023
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