Ryan-posted 6 days ago
Full-time • Mid Level
Hybrid • Houston, TX
5,001-10,000 employees

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.

  • 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
  • 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)
  • 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.
  • 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
  • Hybrid Work Options
  • Award-Winning Culture
  • Generous Personal Time Off (PTO)
  • 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
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