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

Remote · USA Full-time New today

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

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