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David Careers

Data Engineer (Human Capital) | TELECOMMUTE

Posted 2 days ago

kaavDenver (CO)
Data Warehousing SpecialistsCustom Computer Programming Services

SENIORITY

Lead

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About the role

Data Engineer 100% telecommute 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 TeamWe 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, IntelliJRelational 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
Required Skills:
  • Data Analysis
  • Basic Qualification: Additional Skills: Data Engineer
  • This is a high PRIORITY requisition.

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