Backend Engineer - Data Infrastructure

Skill; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Skill is partnering with a pioneering company to advance data analytics infrastructure, empowering teams to build, visualize, and interact with critical insights across the organization. We are hiring an engineer to join a platform team focused on evolving our data platform and OLAP store that powers analytics for internal teams.

You will work autonomously with engineers to improve reliability, scalability, and observability, while building internal tools and libraries that streamline

Qualifications

• 3+ years with distributed datastores and backend services.
• Proficient in Java and modern JVM ecosystems.
• Strong data modeling, dimensional schemas, and analytics queries.
• Experience building internal developer tools and shared services.
• Ownership mindset for service quality, SLOs, and reliability.
• Familiarity with OLAP databases or analytics warehouses.
• Comfort with metrics-driven development and observability stacks.

Responsibilities

• Build, operate, and evolve a data analytics platform with OLAP data store.
• Develop internal tooling and libraries to streamline analytics workflows.
• Advocate for best practices in service design, data modeling, and testing.
• Collaborate autonomously across teams to deliver product objectives.

Skills

Distributed datastores

Backend services

Java

Data modeling

Observability

SLOs

OLAP

Tools

Kubernetes

Terraform

Internal tooling

Job description

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 shape the future of data analytics infrastructure, directly influencing how teams build, visualize, and interact with critical insights across the organization.

We are seeking a talented engineer to join a dynamic team focused on evolving our 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, providing crucial insights that drive both internal decision-making and industry-facing tools. Your work will directly impact the reliability and scalability of our data systems, enabling seamless data visualization and empowering teams to make informed, data-driven choices.

As part of a platform team, you will exemplify, measure, and raise the reliability of data infrastructure for various teams within the organization. You will collaborate closely with engineers to provide OLAP capabilities, building dynamic and reliable data visualizations, and share responsibility in diagnosing, resolving, and preventing production issues. We champion engineering teams taking operational responsibility for their products and are committed to supporting them in this endeavor.

What You'll Do

• Build, operate, and evolve a data analytics platform that includes backend services and an OLAP data store for teams building analytics across the company.
• Develop internal tooling, libraries, and services that streamline integration patterns with our analytics platform.
• Advocate for best practices in service design, data modeling, schema evolution, and contract testing to ensure long-term maintainability.
• Work in an autonomous, cross-functional environment, collaborating with 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.
• Proficient in Java.
• Understanding of data modeling, dimensional schemas, and analytical query patterns.
• Experience building internal developer tools, libraries, or shared services that support large engineering organizations.
• Strong sense of ownership of service quality, Service Level Objectives (SLOs), and operational excellence.
• Familiar 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

• Excited 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.

Helping all candidates find great careers is our goal. The information you provide here is secure and confidential.