Back End Developer

Client’s data platform is used by thousands of engineers across the company to process over two Petabytes of data every day. AI-assisted development is accelerating the pace of innovation, and Client’s data platform must transform to support this new speed without compromising on quality and reliability.Client’s Data Quality and Observability team builds backend systems used by Data Engineers across the company to verify accuracy, enhance reliability, and transform collaboration on platform-wide improvements to Client’s data infrastructure. What You’ll DoBuild and maintain backend services to support Client’s largest and most critical data use-cases.Design and implement new AI integrations to power the future of data quality, observability, and support.Design and build brand new tooling to define and promote company-wide best practices for AI development.Create tooling and infrastructure to democratize data and enhance data usage across the company.Participate in scaling systems while collaborating with teammates, stakeholders, and leaders.Gain hands-on experience in understanding user workflows to create tools that improve data quality, observability and reliability. Who You Are (Requirements) Min 3-5 years of experienceYou are a backend engineer with specific experience in Platform Engineering or working with large-scale data pipelines.Your skills include Java (or similar object-oriented programming language), and a strong understanding of systems design, data structures, and algorithms.You thrive in an environment where engineers are empowered to solve meaningful problems with autonomy.You can work directly with stakeholders to clarify requirements, write clear technical docs, and design APIs/contracts that are easy to adopt.You care about code quality, testing, and maintainability—and you know what it means to ship reliable software.You enjoy breaking down complex technical problems and iterating quickly, taking ownership from ideation to production. Nice to HavePrior Client experienceExperience with technologies such as Scala, Flyte, Apache Iceberg, Dataflow, Airflow or collaborating with data engineers to build impactful tools and pipelines.Experience working in data quality or data monitoring using tools such as Great Expectations or SQL Soda, and with concepts such Counters or Data SLOsStrong Java backend development experience (we also use Python).Experience with agentic coding tools and AI-assisted development workflows (with strong judgment around correctness, security, and reviewability). Tech Stack (What You’ll Likely Work With)Languages: Java, PythonInfrastructure: Kubernetes on GCPStorage/Data: Iceberg, GCS, BigQuery, CloudSQL, Scala, Flyte, DataflowMisc: Bazel, VictoriaMetrics, Great Expectations (GX)