Data Engineer

Job Title: Data Engineer
Location: New York, NY 10281
Type: Fulltime/Direct Hire
Pay Range: $145,000 - $175,000
 
Employees in this position will report to the office 2-3 days per week. Onsite work requirements may change at any time.
 
Position summary:
As a Data Engineer, you will work with a variety of data sets to design, prototype, and deploy analytical models, applications, and data visualizations for both internal users and customers. You will leverage your data engineering skills to transform raw data into analytical and statistical models, deriving meaningful insights and presenting business recommendations based on your results. You will collaborate with cross-functional teams, such as product, technology, operations and risk, to streamline data pipelines and to create automated solutions. You will use innovative technologies, including open-source software, AI and machine-learning libraries, and cloud-native analytics, to build scalable data platforms that automate and enhance the delivery of our new payment services.
 
Required Qualifications:

• Bachelor's degree or the equivalent in a scientific or quantitative discipline, such as Mathematics, Engineering, Computer Science, Economics, or Physical Sciences
• 5+ years of experience or equivalent in the data engineering/science field as a programmer, analyst, engineer or scientist.
• Hands-on development experience using programming languages, ideally Python, with statistical and data visualization libraries, such as pandas and matplotlib.
• Experience with data structures, algorithms and database query languages, such as SQL.
• Familiarity using git code repositories and interactive editors, such as Jupyter notebooks, Sublime or VS Code.
• Familiarity with cloud services for data management and analysis, such as AWS Glue
• Experience managing a variety of large-scale data sets on Linux, Windows or MacOS.
• Excellent writing and presentation skills

• Infrastructure as code using Terraform. Building and managing cloud infrastructure primarily AWS, writing reusable Terraform modules and collaborating with DevOps and development teams to support scalable, secure and automated deployments. Understanding of cloud services, version control(Git) and CI/CD practices is essential.
• Any graduate-level coursework or degree in a scientific or quantitative discipline, with original research work using statistical methods, analytic models, or quantitative techniques.
• Experience with machine learning concepts, algorithms, and tools, such as Amazon SageMaker
• Experience building data visualizations with business intelligence tools, such as AWS QuickSight or Tableau
• Experience developing Web applications with Java, Typescript and/or front-end UI frameworks, such as React, ideally leveraging real-time streaming events from Kafka or Amazon Kinesis
• An enthusiasm to learn and to teach others

• As a member of the Innovation and Strategy team, you'll work with other technology teams, such as Enterprise Architecture and Application Development, as well as with Product Management and other business teams, to develop and execute the firm's data strategy.
• As a data engineer, you will leverage cloud-based services and other analytic tools to prototype and build applications and data visualizations that other employees, managers and customers will rely on to make more informed business decisions

 
Benefits Info: Russell Tobin/Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

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