Hybrid Senior Data Engineer, Python Developer

at Ryan

• Job title: Senior Data Engineer, Python Developer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, ETL, Java, Linux, NoSQL, Python, Scala
• Location requirements: Hybrid, Dallas, United States

About the role

• Senior Data Engineer for tax services firm developing and maintaining cloud-based data solutions. Leading data pipeline efforts and collaborating with Agile teams for performance enhancement.

Responsibilities

• Identifying, developing, and maintaining the technologies that enable the efficient flow of data throughout the organization.
• 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.

Requirements

• Bachelor’s and/or Master’s degree in a related field
• 7+ years of experience developing data technologies.
• 7+ years of experience deploying ETL solutions in production environments.
• 7+ years of experience with cloud-based data services, preferably in AWS or Azure.
• 7+ years of experience developing Python, Scala, Java, .Net or similar solutions in a backend or data wrangling capacity.
• 7+ 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.
• To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research.

Benefits

• 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