Data Engineer

Ryan - Dallas, TX

Full-time - Mid Level

Hybrid - Dallas, TX

Professional, Scientific, and Technical Services

About the position

The Data Engineer, Data Engineering is responsible for identifying, developing, and maintaining the technologies that enable the efficient flow of data throughout the organization. This role requires an enterprise mindset to build out robust, high-performance technology. The Data Engineer will utilize a variety of programming languages and tools to develop, test, and maintain data pipelines within the Platform Reference Architecture. This position involves working directly with management, product teams, and practice personnel to understand their platform data requirements, ensuring a positive work atmosphere that encourages productive interactions with customers, co-workers, and supervisors. The Data Engineer will also be responsible for fostering an innovative, inclusive, and diverse team environment, promoting positive team culture, encouraging collaboration, and self-organization while delivering high-quality solutions. In addition to technical responsibilities, the Data Engineer will collaborate on an Agile team to design, develop, test, implement, and support highly scalable data solutions. This includes working closely with product teams and clients to deliver robust cloud-based data solutions that drive tax decisions and provide powerful experiences. The role also involves analyzing user feedback and activity to iterate and improve services and user experience. Security is a key focus, as the Data Engineer must ensure data is secured in alignment with internal information and data security policies, best practices, and client requirements. The position requires creating and implementing robust cloud-based data solutions that scale effectively, performing unit tests, and conducting reviews with other team members to ensure 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 and external technology communities, and mentoring other members of the engineering community are also essential aspects of this role. The Data Engineer will perform other duties as assigned, contributing to the overall success of the organization.

Responsibilities

• Use a variety of programming languages and tools to develop, test, and maintain data pipelines within the Platform Reference Architecture.
• Work directly with management, product teams, and practice personnel to understand their platform data requirements.
• Maintain a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers, co-workers, and supervisors.
• Develop and engage with team members by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performance.
• Foster an innovative, inclusive, and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high-quality solutions.
• Collaborate on an Agile team to design, develop, test, implement, and support highly scalable data solutions.
• Collaborate with product teams and clients to deliver robust cloud-based data solutions that drive tax decisions and provide powerful experiences.
• Analyze user feedback and activity and iterate to improve the services and user experience.
• Secure data in alignment with internal information and data security policies, best practices, and client requirements.
• Create and implement robust cloud-based data solutions that scale effectively and provide powerful experiences for both internal teams and clients.
• Perform unit tests and conduct reviews with other team members to ensure solutions and code are rigorously designed, elegantly coded, and effectively tuned for performance.
• Stay on top of tech trends, experiment with and learn new technologies, participate in internal and external technology communities, and mentor other members of the engineering community.

Requirements

• 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.
• 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.

Nice-to-haves

• Experience with distributed data platforms is a plus.
• Exposure to AI/ML pipelines is preferred.

Benefits

• Generous Personal Time Off (PTO)
• 14-Weeks of 100% Paid Leave for New Parents (Adoption Included)
• Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement
• 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