Our Solution
Demyst unlocks innovation with the power of data. Our 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. We are known for harnessing rich, relevant, integrated, linked data to deliver real value in production. We operate as a distributed team in the US and Asia and serve over 50 clients globally as a strategic external data partner. Frictionless external data adoption within tech forward enterprises is unlocking market growth and allowing solutions to finally get out of the lab. If you like to actually get things done and deployed, Demyst is your new home.
The Opportunity
As a Data Engineer at Demyst, you will be powering the latest technology from leading financial institutions around the world. Using innovative data sets and Demyst's 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. The Data Engineer reports directly to the Senior Director, Client Engineering and work directly with the existing global team who are based in North America, New Zealand, and Australia.
This role is fully remote.
Responsibilities
- Collaborating with project management, and sales teams to solve clients' business and technical problems
- Performing data appends, extracts, and analysis to deliver curated data to clients
- Understanding wide arrays of data provider landscapes including consumer, business, property, and digital data
- Data architecture design and coding of ETL data applications in Python.
- Implement and configure the Demyst Data platform to ingest data from a variety of sources and ensure that the data pipeline is consistent and reliable.
- Transforming one-time projects into repeatable code for production.
- Automating appends and extracts after client analysis through workflow/airflow to
- sync updates in the production environment.
- Rolling out changes to production use cases in close coordination with clients' IT teams
- Opportunities to work on entity detection, record linking, and NLP projects will also be available
- Computer Science or Data Science degree (or commensurate work experience); Master's degree preferred
- 1-3 years of Python programming (with Pandas experience)
- Experience with CSV, JSON, parquet, Avro, 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
- Experience with Git
- Interest or experience in machine learning and data modelling
- Understands globally distributed teams and asynchronous communication methods
- Distributed working team and culture: work from anywhere in the world!
- Generous benefits and competitive compensation
- Be a part of the exploding external data ecosystem
- Join an established fast growth data technology business
- Collaborative, inclusive work culture
- 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 and overseeing a team of renaissance technical talent
- Small enough where you matter, big enough to have the support to deliver what you promise
Demyst is committed to creating a diverse, rewarding career environment and is proud to be an equal opportunity employer. We strongly encourage individuals from all walks of life to apply.