Senior Data Engineer
About The Position
The New York Stock Exchange is seeking a senior developer to join the team responsible for data analytics workflows for trading data. The role involves ingesting and analyzing large volumes of data, collaborating with business and technology teams across NYSE, and applying data science and machine learning to market microstructure. The position carries responsibility for every phase of delivery, from requirements through production support. The successful candidate will contribute to data capabilities that support fair and orderly markets, work with large-scale trading data on a modern cloud data stack, take ownership of work from design through production, and contribute to the application of ML and AI to market analytics.
Requirements
- Bachelor's degree in computer science, data science, finance, or mathematics, or equivalent experience.
- 5+ years of professional software development experience.
- Strong programming skills in Python, including commonly used data science libraries such as pandas, NumPy, and PySpark.
- Strong SQL skills, including query tuning and query plan management.
- Experience working in cloud environments such as AWS.
- Experience with cloud data platforms and warehouses such as Snowflake, Databricks, BigQuery, or Redshift.
- Experience applying statistical analysis and modeling to financial market data, or familiarity with market structure, trading data, or regulatory compliance analytics.
- Experience writing complex programs and implementing custom algorithms, including adapting open-source frameworks to specific needs.
- Proficiency with Git and experience working in Agile teams of 5 to 8 engineers.
- Demonstrated written and verbal communication skills, with the ability to explain complex solutions to stakeholders in different disciplines.
Nice To Haves
- Experience with other languages used in data and quantitative work, such as Java, Scala, R, or Julia.
- Experience with Spark SQL and Parquet.
- Experience with time series databases and engines such as Deephaven, kdb+, InfluxDB, or TimescaleDB.
- Experience with data visualization and analytics tools such as Tableau, Power BI, or Alteryx.
- Scripting experience in bash or AWK.
- Experience in data management, analytics middleware, or platform infrastructure.
- Experience in an applied R&D or innovation lab setting.
Responsibilities
- Design, write, and optimize SQL to develop and maintain data science and analytics solutions in partnership with business teams.
- Build frameworks and tools that automate data collection.
- Convert data formats to support analysis and maintain the databases and data systems behind it.
- Optimize SQL queries and review query plans to improve performance.
- Search large data sets for meaningful patterns and apply statistical methods to interpret trends and support diagnosis and prediction.
- Create reports and presentations for business stakeholders.
- Analyze requirements and propose technical solutions that balance cost, time, and quality.
- Collaborate with project managers to break deliverables into tasks and provide realistic estimates.
- Develop and unit test code following software development best practices.
- Collaborate with developers and QA engineers on integration, functional, and regression testing.
- Collaborate with business and operations teams to resolve design and operational challenges.
- Prototype algorithms and ML, AI, NLP, and LLM solutions for quantitative analysis and market monitoring to improve automation, insight, and decision-making.
- Continuously improve system performance and propose better approaches.
Benefits
- Healthcare coverage, including medical, dental, and vision.
- 401(k) plan.
- Life insurance.
- Time off.
- Paid leave for qualifying circumstances.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
