Data Engineer

Pos. Category
Client Service
North Salt Lake
Created Date
Regular Full-Time


Based in Utah, Idaho, and Arizona, Progrexion leads the credit repair industry with groundbreaking technologies and services that help consumers access and understand information contained in their credit reports, verify whether that information is fair, accurate and substantiated, and correct inaccuracies with individual creditors, other data furnishers and the national credit bureaus.  Progrexion technology and services are used by Lexington Law, an independently-operated law firm, and, its wholly-owned subsidiary.


The Customer Experience Group is looking for an outstanding Data Engineer to join its growing analytics team. This individual will play a central role in one of our organization’s most highly visible divisions, helping pull insights from the data warehouse to guide strategic decisions of c-level executives and shape the way that we serve our customers.


The Data Engineer will work closely with the Director of Analytics to clean, create, and evaluate data related to key business questions. To this end, most of your time will be spent working within SQL Server and MySQL databases. You will be involved in supporting the wide range of analyses carried out by our group using every available tool, from machine learning techniques like support vector machines and random forests to simple t-tests and power analyses.


  • Ensure data quality and availability for ongoing analytics projects through stable ETL processes.
  • Develop and maintain a query library to support recurring data requests.
  • Carry out ad-hoc data extracts and analyses as needed.
  • Help design and deliver long-term analytics projects.


  • 3-5 years of experience as data engineer / BI developer or an advanced degree (MS, MBA, PhD) in a related field.
  • Fluent in at least one language related to data management, preferably SQL, or basic computing such as C++, Java, or Python.
  • Attention to detail and overarching curiosity are both essential.
  • Willingness to learn new techniques and programming languages.
  • Responsible and reliable; able to set and meet deadlines.
  • Fluent in English


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