Position summary:
The Clearing House (TCH) is the largest private provider of payments in the United States, moving trillions of dollars every business day. As a hub for the banking and fintech industry, the company is rapidly expanding our traditional products to develop new payment services. A key element of our product strategy is to develop analytics as a core expertise for the organization and to design innovative data-driven solutions for our customers and partners.

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

Desired Qualifications:

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

Essential functions and responsibilities:

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

Physical demands and work environment:
Work is generally sedentary in nature. The working environment is generally favorable. Lighting and temperature are adequate, and there are no hazardous or unpleasant conditions caused by noise, dust, etc. Work is generally performed within an office environment, with standard office equipment available.

Employees in this position will report to the office 2-3 days per week. Onsite work requirements may change at any time.

The anticipated annual salary range for NY-based candidates for this position is $145,000 - $175,000. Base salary and position level will be determined by the role, experience, skill set and location. For eligible positions, discretionary incentive compensation may be awarded contingent on personal and company performance. Our benefits program includes medical, dental, vision, life insurance, 401k plan with company contribution and company match, tuition reimbursement, parental leave and more.

The Clearing House is an equal opportunity employer

The Clearing House Payments Company jobs

Data Engineer

Never Miss a New Opportunity