Data Engineer

The Data Engineer, Data Engineering is responsible for the identifying, developing, and maintaining the technologies that enable the efficient flow of data throughout the organization.

People

• Use a variety of programming languages and tools to develop, test, and maintain data pipelines within the Platform Reference Architecture.
• Working directly with management, product teams and practice personnel to understand their platform data requirements
• Maintaining a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers, co-workers and supervisors
• Developing and engaging with team members by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performance
• Fostering an innovative, inclusive and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high quality solutions

Client

• Collaborating on an Agile team to design, develop, test, implement and support highly scalable data solutions
• Collaborating with product teams and clients to deliver robust cloud-based data solutions that drive tax decisions and provide powerful experiences
• Analyzing user feedback and activity and iterate to improve the services and user experience

Value

• Securing data in alignment with internal information and data security policies, best practices and client requirements
• Creating and implementing robust cloud-based data solutions that scale effectively, and provide powerful experiences for both internal teams and clients
• Performing unit tests and conducting reviews with other team members to make sure solutions and code are rigorously designed, elegantly coded and effectively tuned for performance
• Staying on top of tech trends, experimenting with and learning new technologies,

Education and Experience:

• Bachelors and/or masters degree in a related field
• 3+ years of experience developing data technologies.
• 3+ years of experience deploying ETL solutions in production environments.
• 3+ years of experience with cloud-based data services, preferably in AWS or Azure.
• 3+ years of experience developing Python, Scala, Java, .Net or similar solutions in a backend or data wrangling capacity.
• 3+ years of experience in mixed Windows/Linux environments.