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 is an exceptional opportunity to join a team that directly influences how critical insights are built, visualized, and interacted with across the organization, shaping the future of data analytics infrastructure.

Unleash Your Impact: Shape the Future of Data Analytics

We are seeking a talented engineer to join a dynamic team focused on evolving cutting-edge data infrastructure. In this pivotal role, you will be at the forefront of developing and enhancing the platform that powers analytical capabilities across the organization. Your contributions will provide crucial insights that drive both internal decision-making and industry-facing tools, directly impacting the reliability and scalability of our data systems. You will enable seamless data visualization and empower teams to make informed, data-driven choices, fostering a culture of operational excellence and innovation.

What You'll Do

• Build, operate, and evolve a robust data analytics platform, encompassing backend services and an OLAP data store, to support teams across the company in building sophisticated analytics.
• Develop essential internal tooling, libraries, and services that streamline integration patterns and enhance the efficiency of our analytics platform.
• Champion best practices in service design, data modeling, schema evolution, and contract testing, ensuring the long-term maintainability and integrity 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.

Required Skills & Experience

• 3+ years of relevant experience with distributed datastores and backend services.
• Proficiency in Java.
• A solid understanding of data modeling, dimensional schemas, and analytical query patterns.
• 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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