Data Engineer | TELECOMMUTE

Data Engineer100% telecommuteRegular 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.Working with customers to design data extracts based on their reporting needsCollaborating with IT Dev Ops partners to ingest extracts into a data warehouseCreating scalable data pipelines for reporting teams from the data warehouse to our BI toolWe are a team of 9 Data Engineers and Analysts + Engineering Managers/LeadersWe have 1 product owner on the team and work with several others directlyWe have a Scrum Master aligned as wellArchitect all phases of software engineering including requirements analysis, application design, code development and testing with a focus on business intelligence dataset developmentDesign reusable components, frameworks, and librariesContribute and make recommendations to the design and architecture to enable secure, scalable, and maintainable solutionsClearly articulate the implications of design/architectural decisions, issues and plans to technology leadershipWork collaboratively with People Analytics on the development and production of standard datasets to drive actionable decision making and reporting stabilityConduct design and code reviews to ensure code developed meets business needs, coding best practices guidelines, unit testing, security, and scalability and maintainability guidelinesWork very closely with architecture groups and drive solutionsAssist with updating infrastructure componentsUse engineering best practices following an Agile methodology to deliver high-quality emerging tech solutionsCommunicate with impact - influence and negotiate effectively with all internal and external stakeholders to achieve win-win solutions that advance organizational goalsGrow and maintain knowledge of and leverage emerging technologiesDevelop and analyze highly complex system standards, thresholds, and recommendations to maximize system performanceAnalyze project requirements and develop detailed specifications for new data warehouse reporting requirementsResearch API calls and make necessary changes to meet the business, contractual, security, performance needsAssesses and interprets customer requests for feasibility, priority, and complexityCreate and maintain internal process documentationSupport projects and change initiatives aligned to key priorities of People Analytics and People Analytics customersUnderstands priorities and organizes prescribed and non-prescribed work to meet or exceed deadlines and expectationsProactively keeps data secure and decommissions legacy content in our environmentServe 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 solutionsWorks with minimal guidance; seeks guidance on only the most complex tasksCoaches, provides feedback, and guides others within the People Analytics community3+ years of data engineering experience3+ years of full lifecycle application, software development experience3+ years of modern programming language such as Python, Java, and Scala2+ years of SDLC experience in an Agile environmentWorking knowledge of the following business and technology concepts: APIs, CI/CD, Big Data, data architecture and governanceExperience with Cloud technologies and platforms such as Docker, OSE, Kubernetes, AWS, Snowflake, and AzureExperience with Jenkins, GitHub, Big Data technologies like SparkExperience using IDEs such as Eclipse, JBoss, IntelliJRelational database experienceExperience ingesting and working with large and complex datasetsExperience gathering requirements from end usersBachelor's degree in Computer Science, Engineering, or TechnologyExperience with People DataExperience with disaster and recovery modelsDevOps experienceExperience creating user stories in an agile tool using gherkin format methodology