• Sr. Data Engineer

    Pos. Category
    Location : City
    Salt Lake City
    Location : State/Province
    Created Date
    Regular Full-Time
  • Overview

    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 CreditRepair.com, its wholly-owned subsidiary.



    The Marketing team is looking for an outstanding Sr. 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 to design, build, maintain, and pull insights from the data warehouse to guide strategic decisions of c-level executives and shape the way that we serve our customers. The Sr. Data Engineer will report to the Sr. Director of Strategy and Analytics.


    The Sr. Data Engineer will work closely with the Sr. 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.


    • Design and build data warehouses to support the production reporting and analytics needs of the marketing team.
    • 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 and production reporting projects.


    • At least 5 years of experience as data engineer / BI developer or an advanced degree (MS, MBA, PhD) in a related field.
    • Expert in SQL and ETL development.
    • Fluency in C++, Java, or Python preferred.
    • 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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