We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Backend Engineer, Data Platform at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Backend Engineer, Data Platform. in the . United States. .. As a Backend Engineer for the Data Platform, you will play a critical role in designing, building, and maintaining high-performance data pipelines and back-end systems that process massive volumes of events daily. You will work in a highly collaborative environment, partnering with product managers, frontend engineers, and UX teams to deliver reliable and scalable solutions for analytics, experimentation, and business intelligence. The role offers hands-on development with cutting-edge technologies across AWS, streaming platforms, and modern databases. You will be responsible for ensuring data integrity, optimizing pipeline performance, and maintaining system observability. This position provides a unique opportunity to shape the platform architecture while contributing directly to the efficiency and impact of key product lines.. . Accountabilities. Build, maintain, and expand . batch and streaming data pipelines. supporting analytics, experimentation, and product insights.. Collaborate with frontend engineers, product managers, and UX teams to deliver data-driven features.. Monitor and optimize database and pipeline performance to ensure . high scalability and reliability. .. Develop unit, integration, and load tests to maintain . code quality and system integrity. .. Participate in code reviews and provide constructive feedback to improve engineering standards.. Write and review . technical proposals. , and contribute to improving processes, tooling, and best practices.. Support production systems, including . on-call rotation and troubleshooting. .. . 5+ years of . backend software engineering experience. .. Minimum 1 year of experience building . data pipelines or data warehouse solutions. .. Hands-on experience with . data processing technologies. such as Kinesis, Airflow, Spark, Lambda, Flink, or Athena.. Familiarity with databases such as Clickhouse, Postgres, Elasticsearch, Timestream, or Snowflake.. Solid understanding of computer science fundamentals, including . data structures, distributed systems, concurrency, and threading. .. Experience working in . collaborative, communicative environments. and Agile frameworks.. Strong commitment to . writing maintainable code. , testing, and engineering best practices.. Familiarity with . Infrastructure-as-Code tools. like Terraform and observability tools like Datadog.. . Company Location: United States.