Data Engineer

Why Ryan?

• Competitive Compensation and Benefits

• Home Office Stipend

• Business Connectivity Reimbursement (Phone/Internet)

• Gym Membership or Equipment Reimbursement

• LinkedIn Learning Subscription

• Flexible Work Environment

• Tuition Reimbursement After One Year of Service

• Accelerated Career Path

• Award-Winning Culture & Community Outreach

Duties and Responsibilities, aligned with Key Results:

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, participating in internal & external technology communities and mentoring other members of the engineering community
• Perform other duties as assigned

Education and Experience:

• Bachelor’s and/or master’s 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.

Additional Required Skills and Experience:

• Results-proven track record of exceeding goals and evidence of the ability to consistently make good decisions through a combination of analysis, experience and judgment
• Fluency in one or more databases, preferably relational and NoSQL is a plus.
• Experience with distributed data platforms is a plus.
• Exposure to AI/ML pipelines is preferred.
• Experience deploying, monitoring, and maintaining data pipelines in production environments
• Commitment to diversity, accountability, transparency, and ethics.

Computer Skills:

To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research.

Supervisory Responsibilities:

• None

Work Environment:

• Standard indoor working environment.
• Occasional long periods of sitting while working at computer.
• Must be able to lift, carry, push or pull up to 30 lbs.
• Position requires regular interaction with employees at all levels of the Firm and interface with external vendors as necessary.
• Independent travel requirement: As Needed

Equal Opportunity Employer: disability/veteran