Full time, Contract | Salt Lake City, UT 84111
Status: Closed
Posted On: Jun 04 2021


The ideal candidate for this position has experience in Azure, data pipelines, data architecture and warehousing, and has dabbled in machine learning. They are a Data Engineer with a passion for data, and for making peoples’ lives easier. They enjoy both philosophical discussions and physical deployments and are comfortable working with multiple teams.

Principal Duties:

  • Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
  • Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
  • Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
  • Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
  •  Works closely with a team of engineers, product managers, and analysts.
  • Defines company data assets (data models), jobs to populate data models.
  • Designs data integrations and data quality framework.
  • Designs and evaluates open source and vendor tools for data lineage.
  • Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
  • Other duties as assigned.


A. Degree – Candidate must possess a bachelor’s degree from an accredited college in Computer Science, Information Technology, Business, or equivalent experience.

B. Functional Experience – Candidates must have 3+ years of experience with large sets of regulated data.

C. Interpersonal Relationships – Candidates must demonstrate the ability to work well with others of all personality types while demonstrating problem-solving and the ability to prioritize tasks.

D. Communication – Candidates must demonstrate the ability to communicate in verbal and written form with both technical and non-technical personnel.

E. Initiative – Candidates must demonstrate success as a self-starting, hardworking and inquisitive worker.

F. Teamwork – Candidates must demonstrate the ability to work with cross-functional teams to deliver on a common goal.

G. Agile/Scrum - Candidates must demonstrate experience in an agile product environment to include deep understanding and experience with agile methodologies.

H. Data Lake and/or Date Warehousing – Experience with planning and implementing a data warehouse, data lake, or other data repositories is required.

Bonus skills:

I. Certifications: Azure Data Engineering, Azure DBA, Azure Developer or others related to the position

J. Domain Driven Design – Understanding and experience with Domain Driven Design

K. Financial or Education Domains – Ed-Fi, CEDS, SIF, GAAP, etc.