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Data Engineer III – Data Ingestion & Platform Modernization- Remote (Birmingham)

Remote, USA Full-time Posted 2026-05-21
Data Engineer III - Data Ingestion & Platform Modernization Remote (working CST) 6- month contract Pay Rate: $70.00 - $77.00per hr. Our client needs a Data Engineer -This role supports a major enterprise data modernization initiative within a large banking environment. The organization is actively migrating from on-prem systems and a legacy Cloudera-based data lake into a Snowflake-based cloud data platform, while also supporting multiple high-priority business and regulatory initiatives. This position is part of a highly visible engineering team responsible for building and maintaining scalable data ingestion pipelines across multiple enterprise systems. Key Business Initiatives Supported • Project Turbo (top profitability initiative): improving small business checking processes • R2 (top deposit initiative): enabling enterprise-wide data availability for testing and iteration • Open banking regulatory data ingestion (non-Kafka streaming required for this role) • Enterprise data lake modernization and migration into Snowflake Core Responsibilities • Build and support end-to-end data ingestion pipelines from multiple source systems into Snowflake • Move and transform data from on-prem environments into cloud platforms • Support ingestion from diverse data sources: • Flat files • RDBMS systems (Oracle, SQL Server) • Mainframe extracts • SSIS-based pipelines • Work with ingestion/orchestration tools such as Precisely and Click • Perform data obfuscation and transformation as required • Move data into AWS S3 landing zones and Snowflake staging/landing layers • Develop and optimize SQL for complex transformations and joins • Support Python-based data engineering scripts and workflows • Contribute to ingestion pipeline re-engineering and optimization • Integrate data from enterprise systems including SharePoint and Jira into Snowflake Required Skills: • 5+ years of relevant experience • Strong experience in data engineering and big data environments • Advanced SQL (complex joins, optimization, performance tuning) • Python development experience • Snowflake experience • Cloudera or similar big data platform experience • Experience with ingestion tools such as Precisely and Click • Understanding of enterprise data ingestion patterns • Experience with multiple data sources (RDBMS, flat files, mainframe, APIs) Bonus Skills: • AWS S3 experience • Experience with Jira and SharePoint data extraction/integration • Experience working in highly regulated or banking environments Apply tot his job Apply To this Job

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