61 day(s) ago

Data Engineer

Negotiable Salary


United States
English: Advanced, Upper Intermediate, Native Speaker
Experience: 1+ years
Employment: Full-time

TrueAccord

In 2013, our CEO was hounded by collectors for a small amount on a store credit card that he forgot to pay. Several calls from unknown numbers and one unpleasant conversation later, Ohad Samet was determined to reimagine the debt collection process. It was inherently wrong: the focus on just phone calls, the tacked-on “convenience” fees, the authoritative voice on the other side of the line, and most of all, the lack of empathy for the consumer.

Debt collection is a financial service, and it needs to cater to consumers. We created TrueAccord to change the mindset around collections into that of recovery and reconciliation.


General overview of the project(s)

TrueAccord is looking for a Data Engineer on the Data Platform team to help maintain one of the key sources of our differentiation as a technology company and a successful business: massively scalable, fast, and efficient data ecosystem.

In this role you will work cross-functionally to create the data products that internal stakeholders and customers depend on to inform their decision-making. You will be diving deeply into understanding our data and transforming it into clean, efficient data models powering Data Science and Analytics platforms.

We’re looking for someone with a strong sense of ownership and pride in contributing to a rapidly evolving, innovative data ecosystem which is not only integral to the success of TrueAccord’s mission but will define new industry standards of performance and flexibility in the highly fragmented debt collection space.

Responsibilities

Collaborate with business stakeholders to develop new data models and pipelines
Become the product data subject matter expert
Write SQL and ETL pipelines
Drive improvements to data quality across the data pipelines

Requirements

BS/MS in Computer Science, Engineering, or quantitative degree
2+ years of experience in Data Engineering or Data Analytics
Solid SQL and data modeling skills
Python experience
Software engineering mindset with ability to write clean, maintainable code
Ability to communicate effectively with both technical and business partners

Skills considered as a good plus

FinTech background
Experience with large scale databases: Snowflake, BigQuery, Redshift