<p>We are looking for a Data Engineer to support data-focused initiatives with a strong emphasis on controls, process clarity, and technical documentation. This is a Long-term Contract position expected to begin as a 3-4 month engagement at 40 hours per week, with remote work flexibility. The ideal candidate will help strengthen data workflows, improve reliability across engineering processes, and create well-organized documentation that supports ongoing delivery and compliance.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain data pipelines that support reliable movement and transformation of information across platforms.</p><p>• Develop clear technical documentation, data process records, and control-related artifacts to improve transparency and audit readiness.</p><p>• Use Python, Apache Spark, and ETL frameworks to prepare, cleanse, and transform large datasets for downstream consumption.</p><p>• Work with Hadoop- and Kafka-based environments to support scalable data processing and streaming or batch integration needs.</p><p>• Review existing data workflows to identify gaps in controls, consistency, and documentation quality, then recommend practical improvements.</p><p>• Collaborate with cross-functional stakeholders to clarify data requirements, align engineering deliverables, and support operational continuity.</p><p>• Monitor pipeline performance and troubleshoot data issues to maintain dependable processing and accurate outputs.</p>

• Hands-on experience as a Data Engineer working with modern data integration and transformation solutions.<br>• Strong proficiency in Python for data processing, automation, and pipeline development.<br>• Experience using Apache Spark for large-scale data transformation and distributed processing.<br>• Working knowledge of Apache Hadoop ecosystems and related big data concepts.<br>• Familiarity with Apache Kafka for data streaming, event handling, or real-time integration scenarios.<br>• Practical experience with ETL design, development, and support in production environments.<br>• Ability to produce organized technical documentation and maintain strong process controls within data engineering work.<br>• Strong communication skills and the ability to work effectively in a remote, collaborative setting.

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