Overview We are hiring a Data Engineer to join our Data Technologies team. This team partners with middle-and back-office application teams to design, build, and support next-generation data platforms and pipelines that ingest, process, and transform large-scale data into business-ready datasets. We are looking for an experienced data engineer who is passionate about modern data architectures, distributed data processing, and scalable analytics platforms. In this role, you will: • Design, develop, and support scalable data pipelines and data products for middle- and back-office systems • Architect and implement modern data platform solutions • Build and optimize large-scale batch and streaming data processing workflows • Collaborate with application teams to model, transform, and deliver data solutions that meet business requirements • Monitor, troubleshoot, and optimize data processing environments to ensure reliability, scalability, and performance What we're looking for • 5+ years of experience in data engineering, data platforms, or large-scale distributed data processing • Strong experience with modern data engineering technologies such as Spark, Databricks, Trino, Iceberg, Snowflake, Parquet, Apache Arrow, Polars, and/or Kafka • Strong Python development skills required • Experience designing and optimizing high-volume data pipelines and data processing frameworks • Experience with query optimization and performance tuning in large-scale analytical environments • Experience with on-premises data platforms preferred • Industry experience within capital markets or financial services is required • Domain knowledge particularly Operations and/or Compliance, is highly preferred • Ability and flexibility to provide occasional off-hours/weekend support   #LI-RH1