Data Engineer

Description We are looking for a Data Engineer to support the design, development, and optimization of modern data solutions in Houston, Texas. This Long-term Contract position is ideal for someone who enjoys building reliable pipelines, working with large-scale datasets, and improving the flow of information across systems. The role offers the opportunity to contribute technical expertise in a collaborative environment focused on performance, scalability, and data quality.

Responsibilities:

• Build and maintain scalable data pipelines that collect, transform, and deliver data for analytics and operational use.
• Develop ETL processes that improve the accuracy, consistency, and availability of data across multiple sources.
• Use Python and Apache Spark to process large datasets efficiently and support advanced data engineering workflows.
• Work with Hadoop-based environments to manage distributed data processing and storage activities.
• Integrate streaming and messaging solutions using Apache Kafka to support timely data movement and event-driven processing.
• Monitor pipeline performance, troubleshoot failures, and implement enhancements that strengthen reliability and efficiency.
• Partner with technical and business stakeholders to understand data needs and translate them into practical engineering solutions. Requirements
• Hands-on experience as a Data Engineer building and supporting production data solutions.
• Strong programming ability in Python for data processing, automation, and pipeline development.
• Practical experience with Apache Spark for large-scale data transformation and computation.
• Working knowledge of Apache Hadoop and distributed data environments.
• Experience using Apache Kafka for streaming data or message-based integration.
• Solid understanding of ETL concepts, including extraction, transformation, and load processes.
• Ability to work effectively in a collaborative setting while managing priorities in a contract-based role.

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