Data Engineer

April 10

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Ryan

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Ryan is a global tax services and software provider focused on liberating clients from the burden of being overtaxed. The company delivers end-to-end tax services and technology solutions designed to improve overall tax performance, profitability, and cash flow for clients around the world. Ryan recovers billions in tax savings for its clients annually and offers strategic advantages in tax advisory, compliance, and advocacy. With a comprehensive range of services including consulting, recovery, and legal solutions, Ryan serves a variety of industries including financial services, manufacturing, real estate, and more. The company prides itself on providing unmatched client service and achieving substantial value for some of the world's most respected companies.

Tax Services • Consulting • Risk Management • Strategic Planning • Property Tax

1001 - 5000 employees

💸 Finance

☁️ SaaS

📋 Description

• The Data Engineer is responsible for identifying, developing, and maintaining technologies for efficient data flow throughout the organization. • This role requires an enterprise mindset to build robust, high-performance technology. • Duties include using various programming languages and tools to develop, test, and maintain data pipelines. • Collaborating with product teams on robust cloud-based data solutions that drive tax decisions. • Analyzing user feedback and iterating to improve services and user experience. • Securing data in alignment with security policies. • Creating and implementing cloud-based data solutions that scale effectively. • Performing unit tests and conducting code reviews.

🎯 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 • 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.

🏖️ Benefits

• 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