Senior Backend Engineer, Data Platform

About Our Client: The organization operates in the software delivery industry, providing a platform that helps engineering teams accelerate development, improve release stability, and deliver more personalized customer experiences. Its technology enables teams to control feature releases, target specific customer segments, and gradually roll out application changes while reducing the risk of major disruptions. The platform also provides actionable insights that improve engineering productivity and system reliability. About the Opportunity: The Senior Backend Engineer, Data Platform designs, builds, and operates distributed data infrastructure that supports large-scale product data flows and customer-facing capabilities. This role ensures reliable, efficient, and scalable data processing and storage while contributing to architecture, production reliability, engineering standards, and operational excellence. Responsibilities: • Design, build, and operate distributed backend systems supporting data-intensive product capabilities.• Own and enhance production data infrastructure, including streaming and batch pipelines, analytical data stores, and data export systems.• Diagnose and resolve complex production issues across data pipelines, databases, cloud infrastructure, and distributed systems.• Collaborate with cross-functional teams to deliver reliable and scalable data capabilities.• Contribute to technical proposals, architecture decisions, and scalability and reliability trade-offs.• Improve engineering standards, testing practices, deployment safety, observability, and operational processes.• Write maintainable, well-tested code and participate in code and design reviews. Requirements: • 6+ years of backend software engineering experience, with a focus on infrastructure, data platforms, distributed systems, or data-intensive applications.• Proven experience designing, building, operating, and troubleshooting reliable production systems handling large data volumes.• Hands-on experience with data pipeline, streaming, orchestration, or batch-processing technologies such as Kinesis, Airflow, Spark, Lambda, Flink, Athena, or equivalent technologies.• Experience with analytical, event, warehouse, or operational data stores such as ClickHouse, PostgreSQL, Elasticsearch, or similar systems.• Strong programming skills in Go, Python, SQL, Scala, or comparable backend languages.• Strong understanding of distributed systems and backend engineering principles, including concurrency, data modeling, failure handling, retries, idempotency, partitioning, backpressure, and high-throughput processing.• Experience with Infrastructure as Code tools such as Terraform and observability platforms such as Datadog.• Demonstrated ownership of production system maintainability, testing, operational excellence, code quality, collaboration, and technical communication. Pay Range and Compensation Package: • Geographic Zone 1 target pay range: $187,000–$257,000 annually.• Geographic Zone 2 target pay range: $168,000–$231,000 annually.• Geographic Zone 3 target pay range: $158,000–$218,000 annually.• Total compensation may include restricted stock units, health, vision, dental, and mental health benefits in addition to base salary. Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note:TalentHop is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.