Data Engineer

• Competitive Compensation and Benefits
• Home Office Stipend
• Business Connectivity Reimbursement (Phone/Internet)
• Gym Membership or Equipment Reimbursement
• LinkedIn Learning Subscription
• Flexible Work Environment
• Tuition Reimbursement After One Year of Service
• Accelerated Career Path
• Award-Winning Culture & Community Outreach

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.

• 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 & external technology communities, and mentor other members of the engineering community.
• Perform other duties as assigned.

• 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.

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

• None

• Standard indoor working environment.
• Occasional long periods of sitting while working at a 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.

Equal Opportunity Employer: disability/veteran