Job Details

100% telecommute

Hours: Regular day working hours with some flexibility, but must be available for most of Central Time working hours with a heavier focus on availability in the mornings.

Project:

• Working with customers to design data extracts based on their reporting needs
• Collaborating with IT Dev Ops partners to ingest extracts into a data warehouse
• Creating scalable data pipelines for reporting teams from the data warehouse to our BI tool

Team:

• We are a team of 9 Data Engineers and Analysts + Engineering Managers/Leaders
• We have 1 product owner on the team and work with several others directly
• We have a Scrum Master aligned as well

Responsibilities:

• 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
• Assesses and interprets 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
• Understands priorities and organizes prescribed and non-prescribed work to meet or exceed deadlines and expectations
• Proactively keeps data secure and decommissions legacy content in our environment
• Serve as a resource to others within the People Analytics community; mentors other data engineers; provides explanations and information to others on difficult issues, problems, and solutions
• Works with minimal guidance; seeks guidance on only the most complex tasks
• Coaches, provides feedback, and guides others within the People Analytics community

Ideal Background: Ideal candidate would have experience in the Human Capital space, working with the backend data warehousing of human capital systems

Required:

• 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 the following business and technology concepts: 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

Preferred:

• Experience in data extraction, manipulation, and management
• Experience researching issues, investigating data accuracy, and performing quality checks
• Project Management skills
• Ability to work independently and collaborate effectively with others