Data Engineer

Why Ryan?

• Hybrid Work Options

• Award-Winning Culture

• Generous Personal Time Off (PTO) Benefits

• 14-Weeks of 100% Paid Leave for New Parents (Adoption Included)

• Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement

• Benefits Eligibility Effective Day One

• 401K with Employer Match

• Tuition Reimbursement After One Year of Service

• Fertility Assistance Program

• Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service

As a Data Engineer on our Data Science team, you will design, build, and maintain the data pipelines and models that power our AI/ML solutions. You’ll collaborate closely with business stakeholders to understand source schemas and translate them into a Common Data Model (CDM). Your work will ensure high-quality, well-structured data flows from ingestion through transformation to downstream consumption by data scientists and applications.

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 or Master’s degree in Computer Science, Engineering, Information Systems, or a related field

• 3+ years of experience developing data technologies and deploying ETL/ELT solutions in production

• 3+ years of hands-on work with cloud-based data services—preferably Azure (Data Factory, ADLS) or AWS

• 3+ years of experience building and optimizing pipelines on Azure Databricks (Spark, Delta Lake) or equivalent platforms

• 3+ years developing backend or data-wrangling solutions in Python, Scala, Java, .NET, or similar

• Experience operating in mixed Windows/Linux environments

Additional Required Skills and Experience

• Proven track record of exceeding goals and making sound decisions through analysis, experience, and judgment

• Fluency with one or more database technologies (relational and/or NoSQL)

• Familiarity with distributed data platforms (e.g., Spark, Hadoop)

• Exposure to AI/ML pipelines and model operationalization workflows

• Experience deploying, monitoring, and maintaining Databricks-based data pipelines in production

• Strong commitment to diversity, accountability, transparency, and ethics

• Excellent communication skills and ability to collaborate cross-functionally in an agile environment

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

#DICE

Equal Opportunity Employer: disability/veteran