Data Architect; Databricks Data Engineer

Data Architect (Databricks Data Engineer)

Company: NISC

Company Overview:
For more than 50 years, NISC has worked to develop technology solutions for our customers, who we call our "Members". These Members are comprised primarily of 960+ utilities and broadband across North America. Our mission is to deliver technology solutions and services that are Member‑focused, quality‑driven and valued priced. Our Members have over 16 million end customers that our enterprise software enables employees to compete effectively in the industry while excelling in providing customer service to their end customers.

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We are seeking an experienced Data Engineer to join our growing team of data analytics experts. The hire will be responsible for curating and optimizing our data and data pipeline architecture in Databricks, as well as optimizing data flow and collection for various application teams. The Data Engineer will support our application experts, software developers, database architects, and data analysts on a Data Roadmap strategy and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

They must be comfortable supporting the data needs of multiple teams, systems, and products. We look for individuals who will thrive in a team environment, be committed to accomplishing a common goal and excited by the prospect of optimizing or even redesigning our company’s data architecture and have fun along the way.

Entry level

Full‑time

Engineering and Information Technology

Software Development

• Hybrid from one of our office locations:
  • Cedar Rapids, IA
  • Lake Saint Louis, MO
  • Mandan, ND
• Hybrid
  
  Schedule:
  
  Minimum of working 3 days per week from an office location and ability to work up to all 5 days a week from an office location.
• Required days from an office location:
  Tuesday and Wednesday – the third required day will be chosen by the candidate and their supervisor.
• Virtual Office:
  Candidates working from a remote location within approved states will be considered for those who have applicable industry experience with Databricks.

• Assemble large, complex data sets that meet functional/non‑functional business requirements.
• Understand Data Warehouse and Data Lakehouse paradigms.
• Design and build optimal data pipelines from a wide variety of data sources using AWS and Databricks technologies.
• Work with stakeholders including Executive, Product, Data and Design teams to assist with data‑related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing a unified data stream.
• Work with other data engineering experts to strive for greater functionality while making data more discoverable, addressable, trustworthy, and secure.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc.
• Create and maintain a culture of engagement consistent with NISC's Statement of Shared Values.
• Commitment to NISC's Statement of Shared Values.

• Experience building and optimizing data pipelines, architectures, and data sets.
• Hands‑on experience developing and optimizing data pipelines and workflows using Databricks.
• Experience performing root‑cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build ETL processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Working knowledge of message queuing, stream processing, and highly scalable data stores.
• Experience supporting and working with cross‑functional teams in a dynamic environment.
• Candidate with experience in a Data Engineer role, who has attained a BS or MS degree in Computer Science, Statistics, Informatics, Information Systems, or another…