Backend Engineer - Data Infrastructure

Aquent is partnering with a pioneering company at the forefront of the digital experience sector, dedicated to empowering creators and informing internal operations through robust data solutions. This organization is shaping the future of how critical insights are built, visualized, and interacted with across the enterprise. Join a team that directly influences decision-making and innovation within a dynamic and impactful environment.

Are you ready to be at the heart of innovation, shaping the future of data analytics infrastructure? We are seeking a talented engineer to join a dynamic team focused on evolving cutting-edge data solutions. In this pivotal role, you will directly influence how crucial insights are generated and utilized across the organization, driving both internal decision-making and industry-facing tools. Your expertise will be instrumental in ensuring the reliability and scalability of our data systems, enabling seamless data visualization, and empowering teams to make informed, data-driven choices that foster a culture of operational excellence.

Key Responsibilities

• Design, build, operate, and continuously evolve a robust data analytics platform, including backend services and an OLAP data store, to support sophisticated analytics across various teams.
• Develop essential internal tooling, libraries, and shared services that streamline integration patterns and significantly enhance the efficiency and capabilities of our analytics platform.
• Champion and implement best practices in service design, data modeling, schema evolution, and contract testing, ensuring the long-term maintainability, integrity, and performance of our systems.
• Collaborate within an autonomous, cross-functional environment, partnering with diverse teams across the organization to continuously iterate and deliver on new product objectives that drive business success.

Required Skills & Experience

• 3 years of relevant experience working with distributed datastores and backend services.
• Proficiency in Java.
• A solid understanding of data modeling, dimensional schemas, and analytical query patterns.
• Proven experience building internal developer tools, libraries, or shared services that support large engineering organizations.
• A strong sense of ownership for service quality, Service Level Objectives (SLOs), and operational excellence.
• Familiarity with OLAP databases or analytics warehouses.
• Comfort with metrics-driven development and observability stacks.
• A strong communicator and an empathetic, attentive listener with the capability to anticipate the needs of partners.
• Deeply curious and passionate about exploring both technical and organizational problems and domains.
• Eager to learn new technologies and expand your area of expertise.

Nice-to-Have Skills

• Excitement to learn Kubernetes and Terraform.
• Experience with specific OLAP technologies.

About Skill:

Skill connects the best professional, IT, engineering, financial and administrative talent with the world's biggest brands. Our eligible talent get access to benefits such as health benefit contributions, retirement plans with match and flexible spending accounts.

Skill is an equal-opportunity employer. We evaluate qualified applicants without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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