data engineer

Randstad-posted about 1 year ago
$97,760 - $122,200/Yr
Full-time • Mid Level
Remote • Minneapolis, MN
Administrative and Support Services
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The Data Engineer position at Randstad US involves architecting and developing software solutions with a focus on business intelligence datasets. The role requires collaboration with various teams to ensure the delivery of high-quality data solutions while adhering to best practices in software engineering and Agile methodologies.

  • Architect all phases of software engineering including requirements analysis, application design, code development and testing with a focus on business intelligence dataset development
  • Design reusable components, frameworks, and libraries
  • Contribute and make recommendations to the design and architecture to enable secure, scalable, and maintainable solutions
  • Clearly articulate the implications of design/architectural decisions, issues and plans to technology leadership
  • Work collaboratively with People Analytics on the development and production of standard datasets to drive actionable decision making and reporting stability
  • Conduct design and code reviews to ensure code developed meets business needs, coding best practices guidelines, unit testing, security, and scalability and maintainability guidelines
  • Work very closely with architecture groups and drive solutions
  • Assist with updating infrastructure components
  • Use engineering best practices following an Agile methodology to deliver high-quality emerging tech solutions
  • Communicate with impact - influence and negotiate effectively with all internal and external stakeholders to achieve win-win solutions that advance organizational goals
  • Grow and maintain knowledge of and leverage emerging technologies
  • Develop and analyze highly complex system standards, thresholds, and recommendations to maximize system performance
  • Analyze project requirements and develop detailed specifications for new data warehouse reporting requirements
  • Research API calls and make necessary changes to meet the business, contractual, security, performance needs
  • Assess and interpret customer requests for feasibility, priority, and complexity
  • Create and maintain internal process documentation
  • Support projects and change initiatives aligned to key priorities of People Analytics and People Analytics customers
  • Understand priorities and organize prescribed and non-prescribed work to meet or exceed deadlines and expectations
  • Proactively keep data secure and decommission legacy content in our environment
  • Serve as a resource to others within the People Analytics community; mentor other data engineers; provide explanations and information to others on difficult issues, problems, and solutions
  • Work with minimal guidance; seek guidance on only the most complex tasks
  • Coach, provide feedback, and guide others within the People Analytics community
  • 3+ years of data engineering experience
  • 3+ years of full lifecycle application, software development experience
  • 3+ years of modern programming language such as Python, Java, and Scala
  • 2+ years of SDLC experience in an Agile environment
  • Working knowledge of APIs, CI/CD, Big Data, data architecture and governance
  • Experience with Cloud technologies and platforms such as Docker, OSE, Kubernetes, AWS, Snowflake, and Azure
  • Experience with Jenkins, GitHub, Big Data technologies like Spark
  • Experience using IDEs such as Eclipse, JBoss, IntelliJ
  • Relational database experience
  • Experience ingesting and working with large and complex datasets
  • Experience gathering requirements from end users
  • Bachelor's degree in Computer Science, Engineering, or Technology
  • Experience with People Data
  • Experience with disaster and recovery models
  • DevOps experience
  • Experience creating user stories in an agile tool using gherkin format methodology
  • Comprehensive benefits package including health insurance
  • Incentive and recognition program
  • 401K contribution
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