Data Engineer (Mid-Senior)
•Today
| Estimated Pay info | Based on similar jobs in your market$63 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | Tampa, FL 33601 Tampa, Florida open_in_new |
About this job
Job Description
Job Description
Job Title: Senior Data Engineer
Location: Tampa, FL (Onsite)
Duration: 6 Months of Contract
Must Have:
Strong experience with Python.
Hands-on experience with Apache Spark, including batch and streaming.
Experience with Apache Flink and real-time/streaming data processing.
Strong knowledge of AWS cloud services and data engineering solutions.
Experience designing and implementing scalable data pipelines.
Job Summary
We are seeking an experienced data engineer to join our team in Tampa. The ideal candidate will have strong hands-on experience building and supporting scalable data pipelines using Apache Spark, Apache Flink, AWS, and Python.
Key Responsibilities
Design, develop, and maintain scalable data pipelines for batch and streaming workloads.
Build and optimize data processing solutions using Apache Spark.
Develop real-time data processing applications using Apache Flink.
Leverage AWS services to build, deploy, and manage data engineering solutions.
Develop robust and maintainable data processing applications using Python.
Monitor, troubleshoot, and optimise data pipelines for performance, reliability, and scalability.
Collaborate with data scientists, software engineers, and other stakeholders to deliver data-driven solutions.
Ensure data quality, consistency, and availability across batch and streaming environments.
Location: Tampa, FL (Onsite)
Duration: 6 Months of Contract
Must Have:
Strong experience with Python.
Hands-on experience with Apache Spark, including batch and streaming.
Experience with Apache Flink and real-time/streaming data processing.
Strong knowledge of AWS cloud services and data engineering solutions.
Experience designing and implementing scalable data pipelines.
Job Summary
We are seeking an experienced data engineer to join our team in Tampa. The ideal candidate will have strong hands-on experience building and supporting scalable data pipelines using Apache Spark, Apache Flink, AWS, and Python.
Key Responsibilities
Design, develop, and maintain scalable data pipelines for batch and streaming workloads.
Build and optimize data processing solutions using Apache Spark.
Develop real-time data processing applications using Apache Flink.
Leverage AWS services to build, deploy, and manage data engineering solutions.
Develop robust and maintainable data processing applications using Python.
Monitor, troubleshoot, and optimise data pipelines for performance, reliability, and scalability.
Collaborate with data scientists, software engineers, and other stakeholders to deliver data-driven solutions.
Ensure data quality, consistency, and availability across batch and streaming environments.
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Full-time Jobs Part-time Jobs Gig Jobs Posting ID: 1310111867 Posted: 2026-10-29 Job Title: Data Engineer Mid