Campus Pride Jobs

Job#: 2055513 Job Description: Senior Data Engineer x3 Remote 12 month contract 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 Requirements: - 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 - E perience ingesting and working with large and complex datasets - Experience gathering requirements from end users