Job Title: Mid-level Data Scientist Engineer

Duration: 12 months right to hire

Location: HYBRID - Prefers onsite in Madison, WI 10 days a month and the other days remote

Contract type: C2H

Job Description:

• In addition to the technical competencies outlined in the job description, the ideal candidate will have experience with at least a subset of the following:
• This roll will require a blend of engineering skills with a strong background in data analysis, forecasting and data pipeline infrastructure
• Automation of infrastructure delivery with configuration orchestration and management solutions (e.g. Ansible/AAP and Terraform)
• Understanding of coding practices, source code control (Gitlab) and developing in a preferred scripting language (e.g. Python, UNIX Shell Scripting)
• Strong experience with Linux and Windows systems engineering principles
• Strong understanding of application resiliency and data resiliency across multiple platforms.
• Strong hands-on experience in data observability tools such as Datadog
• Experience in data pipeline engineering and architecture which can focus on extracting, aggregating and analyzing infrastructure performance data alongside business data to forecast infrastructure capacity needs.
• This engineer should be able to take a data analysis problem and produce recommendations, architecture, and create a pipeline to produce a result to the problem.

Collaboration and Communication:

• Work closely with cross-functional teams to understand business requirements and drivers.
• Communicate findings and recommendations to stakeholders through reports and presentations.
• Create and maintain comprehensive documentation for data processes and models.
• Ensure compliance with company policies, industry standards, and regulatory requirements.

Notes

• Broad knowledge of Cloud (Azure, GCP, AWS) they have all of them
• DEVOPS experience
• Example they have 100 JBOSS jobs in one place and need to compare the data, run tests, and do predictive analysis to forecast
• Data Engineer with a Data Analytics background and infrastructure
• Experience in Big Query, DataDog, or Elastic
• Able to provision through terraform and ansible
• Position will be a member of the Datacenter Engineering Group within Enterprise IT with an initial focus on private cloud service delivery or the delivery of infrastructure solutions running across both public (AWS, GCP and Azure) and private cloud environments. In addition, the uniqueness of this roll the candidate will be responsible for developing data pipeline architectures (including infrastructure) which includes extracting, aggregating, and analyzing infrastructure performance data alongside business data to forecast infrastructure capacity/trending/risk needs.
• This role requires a blend of data pipeline/engineer and engineering skills to create simulations and predictive models.