Senior Data Engineer

As a Senior Data Engineer, you will build new data solutions for our rapidly expanding customer base and work with top data ingestion technologies. You will own end-to-end data flows, design and build scalable data pipelines, and partner with Data Science to productionize ML/AI workloads.

Requirements

• 6+ years of backend engineering work experience in production environments
• B.Sc. / M.Sc. in Computer Science, Computer Engineering, or equivalent
• Proficiency in Python; working proficiency in Scala
• Strong experience with Big Data processing (Spark, Databricks) and event streaming (Kafka)
• Experience with orchestration and platform tooling such as Airflow
• Strong expertise with at least one major cloud provider (AWS, Azure, or GCP)
• Strong SQL skills and experience with data storage systems
• Experience with Delta Lake and/or Apache Iceberg; ML lifecycle tools such as MLflow
• Experience with Pandas/Polars and building data services/APIs
• Proven experience designing, building, and owning production-grade data pipelines
• Ability to learn new technologies and work in a dynamic fast-paced environment
• Result-driven, pragmatic, and innovative
• Strong English communication skills, both written and verbal

Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

Tagged as: Python, SQL