Senior Software Engineer, Data

Hy-VeeDes Moines, IA
Hybrid

About The Position

The Senior Software Engineer, Data will design, create, and maintain on premise and cloud-based data integration pipelines.

Requirements

  • Two years of experience with: Google Cloud Platform; Google Cloud Services; Kubernetes; Splunk and Grafana; Applied data governance principles; Data warehousing for organizing and managing large data sets and NoSQL for unstructured data handling; Python scripting for automation; Designing scalable solutions transferable to data pipelines; SQL, SSMS and SSIS; HashiCorp Terraform; Github; ETL and Data integration; CI/CD pipelines processes; and Concourse
  • Master’s degree or foreign equivalent in Data Analytics, Management Information Systems, Information Systems, or related field.
  • 2 years of experience as a Senior Software Engineer, Data, Software Test Engineer/Trainee, Data Engineer, or similar duties under a different job title.
  • Employment is contingent upon the successful completion of a pre-employment drug screen.

Responsibilities

  • Design, create, and maintain on premise and cloud-based data integration pipelines.
  • Assemble large, complex data sets that meet functional/non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Create data pipelines to enable BI, Analytics and Data Science teams that assist them in building and optimizing their systems.
  • Review code changes and pull requests for standardization and best practices.
  • Evolve existing development to be automated, scalable, resilient, self-serve platforms.
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