Data Engineer - FinTech

Company Overview 
We are a global leader in securities finance technology with offices in major financial centers worldwide. Our goal is to optimize efficiency in the securities finance industry through innovative platforms for trading and post-trade services.   

We offer a range of products including EquiLend Spire, Next Generation Trading (NGT), Post Trade Solutions, DataLend, and Securities Finance Trading Regulation to automate processes and provide our clients with the tools they need to succeed. Our continued dedication to innovation and excellence in this field led us to acquire a majority stake in Stonewain Systems in 2021, a move that enables securities finance market participants to manage their businesses on a single, comprehensive, and integrated platform. 

Team Overview 
We are a cross-functional team of 6 who's responsibility is to work on new and existing products across the business which may be used by internal or external stakeholders.  

We have built some of our company's newest products such as the EquiLend Competitive Bid which has features such as real-time data and depth of market. It is a powerful tool which allows traders to view and agree the core specials they want to trade across multiple counterparts.  

If you are a passionate Data Engineer based in New York then we would love to hear from you! 

Role Responsibilities 

• Design and develop ETL data pipelines using Python on Spark. 
• You will combine the discipline of software engineering with the knowledge and experience of building data solutions to deliver business value. 
• As a data engineer, you’ll help deploy data pipelines and processes in a production-safe manner 
• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility 
• Implement processes and systems to monitor data quality, ensuring production data is accurate and available. 
• Work closely with all business units and engineering teams to develop a strategy for long-term data platform architecture. 

Required Skills 

• 3 years of relevant commercial experience 
• Have excellent knowledge of Python/PySpark or other Object Oriented languages such as Scala or Java 
• Experience with scheduling and monitoring tools such as Airflow or similar 
• Experience with relational and NoSQL databases. 
• A background in software development in high-volume environments 
• Worked with stream processing technologies (such as Kafka, Spark and AWS Kinesis) 
• Working knowledge of AWS services (such as ECS, IAM, EC2, S3, DynamoDB, MSK) is highly desired, but not required 
• Thrive in a diverse, open and collaborative agile environment 

Role Location Benefits 

• Hybrid working – you can choose which 100 days per year to work remotely where you prefer!  
• Generous vacation days each year which increase with your levelling 
• Discretionary annual bonus 
• Health Insurance coverage from day 1  
• 401(k) Employer matching contribution plan  
• Regular team events – both in the office and offsite! 
• Weekly remote yoga sessions and paid access to a mindfulness-based mental health app 

Diversity and Inclusion @ EquiLend 
At EquiLend, we are committed to diversity and inclusion and believe that it is essential to our success as a company. We value and respect all individuals, regardless of their background, and recognize that diversity brings a wealth of perspectives and skills that help us innovate and excel. We are dedicated to building a diverse and inclusive workplace where everyone feels valued and has the opportunity to thrive. We welcome and encourage applications from individuals of all backgrounds and experiences. If you require any accommodations during the application process, please let us know.