Our client is seeking a dedicated and innovative Sr Data Engineer to join their team. This remote position offers regular working hours with some flexibility, primarily within Central Time working hours. The successful candidate will be a key player in designing data extracts based on customer reporting needs, collaborating with IT Dev Ops partners, and creating scalable data pipelines.

Key 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 to the design and architecture to enable secure, scalable, and maintainable solutions
- Work collaboratively with People Analytics on the development and production of standard datasets
- Conduct design and code reviews to ensure code developed meets business needs, coding best practices guidelines, unit testing, security, and scalability and maintainability guidelines
- 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
- Create and maintain internal process documentation
- Serve as a resource to others within the People Analytics community; mentor other data engineers

The ideal candidate will have 3+ years of data engineering experience, 3+ years of full lifecycle application, software development experience, and 2+ years of SDLC experience in an Agile environment. They should have a working knowledge of APIs, CI/CD, Big Data, data architecture and governance, and experience with Cloud technologies and platforms such as Docker, OSE, Kubernetes, AWS, Snowflake, and Azure. Experience in data extraction, manipulation, and management, project management skills, and the ability to work independently and collaborate effectively with others are preferred.

Our client's team consists of 9 Data Engineers and Analysts, Engineering Managers/Leaders, and a product owner. The team works closely with several other product owners and has a Scrum Master aligned as well. This role offers the opportunity to work with a diverse and dynamic team, leveraging emerging technologies to drive actionable decision making and reporting stability.