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Position Applying For:Data Engineer

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  • Data Engineer  | USA-UT-Salt Lake City  |  | 29-JUN-21
    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.

    Qualifications

    Requirements:
    
    1. Degree – Candidate must possess a bachelor’s degree from an accredited college in Computer Science, Information Technology, Business, or equivalent experience.
    2. Functional Experience – Candidates must have 3+ years of experience with large sets of regulated data.
    3. 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.
    4. Communication – Candidates must demonstrate the ability to communicate in verbal and written form with both technical and non-technical personnel.
    5. Initiative – Candidates must demonstrate success as a self-starting, hardworking and inquisitive worker.
    6. Teamwork – Candidates must demonstrate the ability to work with cross-functional teams to deliver on a common goal.
    7. Agile/Scrum - Candidates must demonstrate experience in an agile product environment to include deep understanding and experience with agile methodologies.
    8. Data Lake and/or Date Warehousing – Experience with planning and implementing a data warehouse, data lake, or other data repositories is required.
     
    Bonus skills:
    1. Certifications: Azure Data Engineering, Azure DBA, Azure Developer or others related to the position
    2. Domain Driven Design – Understanding and experience with Domain Driven Design
    3. Financial or Education Domains – Ed-Fi, CEDS, SIF, GAAP, etc.