Backend Engineer (Data Infrastructure / Data Quality)

Aquent is partnering with a leading organization at the forefront of digital innovation, where data drives critical decisions and powers groundbreaking user experiences. This company is renowned for its vast reach and commitment to leveraging cutting-edge technology to connect and inspire millions globally. Join a dynamic team dedicated to building the future of data infrastructure and quality, ensuring accuracy, reliability, and transformative collaboration across a massive platform. Your work will directly influence how data is managed, understood, and utilized at scale, making a tangible impact on the integrity and efficiency of a vast data ecosystem.

Step into a pivotal role where you will make a profound impact, contributing to systems that verify accuracy, enhance reliability, and foster collaboration on platform-wide improvements to the organization's data infrastructure. You will be instrumental in enhancing data quality, observability, and reliability, building the foundational systems that empower data engineers and drive strategic initiatives across the entire organization. If you're passionate about crafting robust backend solutions and driving innovation in data quality, this is an incredible opportunity to shape the very foundation of how this company leverages its most valuable asset: data.

What You'll Do

• Build and maintain critical backend services that support the organization's most extensive and vital data use-cases.
• Design and implement innovative AI integrations to advance the future of data quality, observability, and support.
• Develop brand new tooling to establish and promote company-wide best practices for AI development.
• Create infrastructure and tools that democratize data access and enhance data usage across the entire company.
• Contribute to scaling complex systems, collaborating closely with teammates, stakeholders, and leaders.
• Gain deep insights into user workflows to create impactful tools that significantly improve data quality, observability, and reliability.

Must-Have Qualifications

• Proven experience as a backend engineer, specifically in Platform Engineering or working with large-scale data pipelines.
• Proficiency in Java (or a similar object-oriented programming language), coupled with a strong understanding of systems design, data structures, and algorithms.
• A track record of thriving in environments where engineers are empowered with autonomy to solve meaningful problems.
• Ability to work directly with stakeholders to clarify requirements, write clear technical documentation, and design easily adoptable APIs/contracts.
• A strong commitment to code quality, thorough testing, and maintainability, with a clear understanding of what it takes to ship reliable software.
• Enjoys breaking down complex technical challenges, iterating quickly, and taking full ownership from initial idea to production deployment.

Nice-to-Have Qualifications

• Experience with technologies such as Scala, Flyte, Apache Iceberg, Dataflow, or Airflow, or a history of collaborating with data engineers to build impactful tools and pipelines.
• Familiarity with data quality or data monitoring concepts and tools like Great Expectations, SQL Soda, Counters, or Data SLOs.
• Strong Java backend development experience (with additional experience in Python being a plus).
• Experience with agentic coding tools and AI-assisted development workflows, demonstrating strong judgment regarding correctness, security, and reviewability.

Our Technology Landscape

• Languages: Java, Python
• Infrastructure: Kubernetes on GCP
• Storage/Data: Iceberg, GCS, BigQuery, CloudSQL, Scala, Flyte, Dataflow
• Misc: Bazel, VictoriaMetrics, Great Expectations (GX)