Data Engineer
COMPANY OVERVIEW:
The company is a platform-enabled, external data solutions provider. The platform helps enterprises solve strategic use cases, including lending, risk, digital origination, and automation, by harnessing the power and agility of the external data universe.
For over a decade they have been powering some of the most critical bank and insurance applications around the world. Its unique blend of platform capabilities and data specialists (discovery, engineering, legal, compliance) helps enterprises harness external data to execute on growth initiatives.
They are a global team with global reach. Team members stretch across the US, Europe, Middle East, Asia and Australia and work with leading institutions across the world. They’re on a mission to revolutionize the way enterprises unlock value with external data.
POSITION OVERVIEW:
As a Data Engineer, you will be powering the latest technology at leading financial institutions around the world. You may be solving a fintech’s fraud problems or crafting a Fortune 500 insurer’s marketing campaigns. Using innovative data sets and software architecture, you will use your expertise and creativity to build best-in-class solutions. You will see projects through from start to finish, assisting in every stage from testing to integration.
To meet these challenges, you will access data using a proprietary Python library via their servers and utilize our cloud infrastructure built on AWS. For analysis, you will leverage AutoML tools, and for enterprise data delivery, you’ll work with clients’ data warehouse solutions like Snowflake, DataBricks, and more.
RESPONSIBILITIES:
- Collaborate with internal project managers, sales directors, account managers, and clients’ stakeholders to identify requirements and build external data-driven solutions
- Perform data appends, extracts, and analyses to deliver curated datasets and insights to clients to help achieve their business objectives
- Understand and keep current with external data landscapes such as consumer, business, and property data.
- Engage in projects involving entity detection, record linking, and data modelling projects
- Design scalable code blocks using APIs/SDKs that can be leveraged across production projects
- Govern releases, change management and maintenance of production solutions in close coordination with clients’ IT teams
PREFERRED PROFILE:
- Bachelor’s in Computer Science, Data Science, Engineering or similar technical discipline (or commensurate work experience); Master’s degree preferred
- 1-3 years of Python programming (with Pandas experience)
- Experience with CSV, JSON, parquet, and other common formats
- Data cleaning and structuring (ETL experience)
- Knowledge of API (REST and SOAP), HTTP protocols, API Security and best practices
- Experience with SQL, Git, and Airflow
- Strong written and oral communication skills
- Excellent attention to detail
- Ability to learn and adapt quickly
BENEFITS:
- Distributed working team and culture
- Generous benefits
- Collaborative, inclusive work culture
- Annual learning allowance
- Office setup allowance
- Generous paid parental leave
- Be a part of the exploding external data ecosystem
- Join an established fast growth data technology business
- Work with the largest consumer and business external data market in an emerging industry that is fueling AI globally
- Outsized impact in a small but rapidly growing team offering real autonomy and responsibility for client outcomes
- Stretch yourself to help define and support something entirely new that will impact billions
- Work within a strong, tight-knit team of subject matter experts
- Small enough where you matter, big enough to have the support to deliver what you promise
LOCATION: Remote
Job ID# 2777577
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