Data Engineer III – Streaming & Kafka- Remote
Occupations:
Data Warehousing SpecialistsSoftware DevelopersComputer Systems Engineers/ArchitectsData ScientistsDatabase ArchitectsIndustries:
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related ServicesMedia Streaming Distribution Services, Social Networks, and Other Media Networks and Content ProvidersSpecial Food ServicesWeb Search Portals, Libraries, Archives, and Other Information ServicesComputer Systems Design and Related ServicesData Engineer III – Streaming & Kafka Remote (working CST) 9- month contract Pay Rate: $70.00 - $77.00per hr. This is a highly specialized, high-priority 9-month contract role supporting critical enterprise data initiatives within a large banking organization. The role focuses on real-time data ingestion, event streaming, and modernization of enterprise data pipelines into Snowflake. This position is mission-critical and supports some of the bank's most visible and regulated data programs. Key Business Initiatives Supported Open banking regulatory data ingestion (Kafka-based streaming required) Enterprise R2 deposit data initiative (top bank priority) Snowflake migration and data lake modernization efforts Core Responsibilities Design, build, and support real-time and batch ingestion pipelines into Snowflake Work extensively with Kafka-based event streaming systems Support enterprise ingestion from multiple source types: Event streams (Kafka) RDBMS systems (Oracle, SQL Server) Flat files and mainframe extracts Build and maintain ingestion pipelines using Python and SQL Support complex data transformation and movement across systems Work with tools such as Precisely and Click for orchestration Load data into Snowflake landing zones and downstream structures Ensure reliability and scalability of streaming ingestion pipelines Required Skills: 5+ years of relevant experience Strong, hands-on Apache Kafka experience (mandatory) Advanced SQL (complex joins, optimization, tuning) Python development experience Snowflake experience Experience with big data ecosystems (Cloudera or similar) Strong understanding of event-driven architecture and streaming ingestion Bonus Skills: Experience with ingestion tools (Precisely, Click) AWS S3 exposure Experience with enterprise-scale data pipelines Familiarity with GitHub-based development workflows Understanding of SharePoint and Jira data ingestion (nice to have) Experience working in highly regulated or banking environments