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# Data Engineer- Offshore

- **Company:** Insight Global
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Salary:** $33,280.0 - $41,600.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Big Data, Cloud Engineering, Computer Programming, Information Engineering, Data Warehousing, Distributed Computing Environment, Distributed Systems, Apache Hadoop, Python (Programming Language), Cloud Services, Scala (Programming Language), Software Engineering, Data Streaming, Enterprise Data Management, Data Processing, Data Ingestion, Apache Spark, Software Troubleshooting, Pyspark, Apache Flume, Real Time Data, Apache Kafka, Video Streaming
- **Published:** July 8, 2026
- **Apply:** https://jobs.insightglobal.com/jobs/find_a_job/texas/houston/data-engineer-offshore/job-548955/

## About the Role

* 10+ years of experience in data engineering, software engineering, or related fields.
 * Strong expertise with AWS cloud platform services and cloud-native data engineering patterns.
 * Hands-on experience with Apache Spark using Scala and PySpark for large-scale data processing.
 * Deep working knowledge of the Hadoop ecosystem and distributed data processing architectures.
 * Strong experience with Kafka and streaming technologies, including real-time data pipeline design and support.
 * Hands-on experience with data ingestion platforms such as Flume, AWS Kinesis, Kinesis Firehose, or similar tooling.
 * Strong programming experience in Python, Scala, and Java.
 * Deep understanding of enterprise data warehousing, big data architectures, distributed systems, and large-scale enterprise operating environments.

## Description

The Senior Data Engineer / Streaming Data Engineer will design, build, and support enterprise-scale streaming and big data pipelines across AWS, Spark, Hadoop, Kafka, and cloud-native ingestion platforms. This role is hands-on and production-focused, with responsibility for reliable real-time data movement, ingestion modernization, distributed systems engineering, and scalable data processing in a large enterprise environment.

 * Hands-on streaming and real-time data engineering using Kafka, Spark, AWS Kinesis, and cloud-native data services.
 * Modernization opportunity focused on moving legacy ingestion patterns to scalable AWS-native services.
 * Production engineering role requiring strong troubleshooting, operational ownership, and distributed systems depth.
 * Enterprise-scale environment with complex data warehousing, big data, and cross-platform integration needs.


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