Data Engineer

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.
Responsibilities:
• Design, build, and maintain data pipelines that support reliable movement and transformation of information across platforms.
• Develop clear technical documentation, data process records, and control-related artifacts to improve transparency and audit readiness.
• Use Python, Apache Spark, and ETL frameworks to prepare, cleanse, and transform large datasets for downstream consumption.
• Work with Hadoop- and Kafka-based environments to support scalable data processing and streaming or batch integration needs.
• Review existing data workflows to identify gaps in controls, consistency, and documentation quality, then recommend practical improvements.
• Collaborate with cross-functional stakeholders to clarify data requirements, align engineering deliverables, and support operational continuity.
• Monitor pipeline performance and troubleshoot data issues to maintain dependable processing and accurate outputs.
• Hands-on experience as a Data Engineer working with modern data integration and transformation solutions.
• Strong proficiency in Python for data processing, automation, and pipeline development.
• Experience using Apache Spark for large-scale data transformation and distributed processing.
• Working knowledge of Apache Hadoop ecosystems and related big data concepts.
• Familiarity with Apache Kafka for data streaming, event handling, or real-time integration scenarios.
• Practical experience with ETL design, development, and support in production environments.
• Ability to produce organized technical documentation and maintain strong process controls within data engineering work.
• Strong communication skills and the ability to work effectively in a remote, collaborative setting.
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