Data Engineer

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Data Engineer

Remote Job |   2022-02-23 10:16:36

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Job Code : 99674

• This posting will be open for vendor bids up until 4:00PM, March 1, 2022. (Utah Time)

• Your bid must include your vendor all inclusive bill rate,  (Do not bid $1.00hr to this posting) The candidates resume, your proof of the Exclusive right to represent the candidate and a full completed Candidate Response form. (CRF is available in attachment section of the posting.

• Any qualified candidate with the legal right to work in the US can be considered for this project.

• 100% remote work is available, on site is preferred.  Local candidates that can work onsite will have an advantage to non-local candidates that want only 100% remote work.  Keep in mind Remote workers must live and work inside the US.

• Project duration is anticipated to be March 22 - July 2023

Summary:

The Utah State Board of Education IT department is working on a comprehensive modernization initiative referred to as the Utah Schools Information Management System (USIMS). We are replacing the current legacy system data collection and associated reporting applications and reports from the ground up. We are looking for a high‐energy, adaptive team player with a great work ethic to join our Information Technology (IT) team as a Data Engineer, reporting to the USIMS Program Manager/Chief Product Owner. The Data Engineer is accountable for the architecting and solutioning of our data pipeline.

The Ideal Candidate:

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:

As a Data Engineer, your responsibilities will include:

• 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.

Requirements:

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

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

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.

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

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

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

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

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