Sr Batch/Data Engineer

King of Prussia, Pennsylvania, United StatesOnsiteContractSeniorPosted 2 months agoVisa sponsorship available

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Role summary

We are seeking a Senior Batch/Data Integration Engineer to design and implement batch-oriented data delivery solutions within an enterprise data ecosystem. This role emphasizes configurable job frameworks, parameterized execution, and consistent file-based delivery across multiple product variants. Key responsibilities include enhancing batch processing frameworks for configurable data inclusion and conditional execution, implementing job parameters and reusable components, and coordinating output specifications with implementation teams. The role also involves ensuring end-to-end integration, data consistency, and supporting production readiness and stability of batch workloads. A minimum of 5 years of experience in enterprise batch processing systems is required.

We are hiring a Senior Batch/Data Integration Engineer to design and implement batch‐oriented data delivery solutions within an enterprise data ecosystem. This role focuses on configurable job frameworks, parameterized execution, and consistent file‐based delivery across multiple product variants.

- Key Responsibilities
Enhance batch processing frameworks to support
configurable data inclusion, conditional execution, and parameter‐driven output
.
- Implement and maintain
job parameters, control frameworks, and reusable batch components
to support multiple downstream consumers.
- Design and implement
output layout changes, file naming conventions, and delivery schedules
in coordination with implementation teams.
- Collaborate with upstream and downstream engineering teams to ensure
end‐to‐end integration and data consistency
.
- Support production readiness, operational validation, and post‐deployment stability of batch workloads.
- Required Qualifications
5+ years of experience designing and supporting
enterprise batch processing systems
.
- Strong experience with configurable, parameter‐driven job execution and large‐scale file delivery.
- Proven ability to manage dependencies across multiple data platforms and teams.
- Preferred Qualifications
Experience working alongside distributed data processing platforms.
- Familiarity with operational monitoring, failure recovery, and batch performance tuning

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