Senior Software Engineer - Data Engineering

5+ years of experience in software or data engineering Proficiency in Python and experience building high-performance data processing systems Strong experience with MongoDB; familiarity with PostgreSQL and Databricks Solid understanding of ETL pipelines, data transformation, and large-scale data management Experience developing in Linux environments, including containerized deployments using Docker and Kubernetes in AWS Experience with source control systems (e.g., Git) and CI/CD workflows Experience building and debugging distributed data pipelines using Databricks, Apache Spark, or similar platforms Familiarity with MongoDB change streams and streaming frameworks like RabbitMQ or Kafka Strong written communication skills and ability to produce clear technical documentation Self-starter with the ability to work independently and collaboratively in a fast-paced, remote environment

Design, build, and maintain high-performance ETL pipelines using Python, MongoDB, and AWS EKS. Develop and maintain scalable APIs and services for data ingestion, transformation, and export. Optimize data workflows to improve throughput, latency, and system uptime. Build and maintain monitoring, alerting, and performance dashboards using Datadog. Collaborate with engineering, product, and operations teams. Contribute to the architecture, automation, and observability of cloud-native systems. Support the strategic transition of workloads to Databricks and PostgreSQL. Promote coding standards, participate in technical planning, and drive continuous improvement. Engage with internal stakeholders and external customers.