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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.
Job Responsibility:
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
What we offer:
Medical, vision, dental, and life and disability insurance