Data Engineer

Ryan, LLC•Dallas, TX

38d•Hybrid

About The Position

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.

Requirements

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

Responsibilities

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
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
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