Overview Skilled Storage/Data Engineer to join our team for a large-scale archiving project. The role focuses on designing, implementing, and managing data workflows using Hyperconverged Infrastructure (HCI), Hitachi Content Platform (HCP), and related technologies. The ideal candidate will have expertise in ETL processes, Lucene query syntax, HCP administration, and PowerShell/Bash scripting to ensure efficient and secure data archiving. Key Responsibilities Data Engineering: Design and implement Extract, Transform, Load (ETL) processes to manage large volumes of data for archiving. HCI Workflow Management: Configure and optimize Hyperconverged Infrastructure workflows, including data connectors, pipelines, indexes, and stages, to ensure scalability and performance. Hitachi Content Platform (HCP): Administer, maintain, and optimize HCP systems, ensuring data integrity, availability, and compliance with archiving requirements. Lucene Query Language: Write and optimize Lucene queries for efficient data search and retrieval within HCI environments. Scripting and Automation: Develop and maintain PowerShell and/or Bash scripts to automate data processing, system administration, and workflow tasks. Collaboration: Work with cross-functional teams, including system administrators and storage engineers, to design and implement robust archiving solutions. Documentation: Document processes, configurations, and scripts for operational continuity and knowledge sharing. Required Skills and Qualifications ETL Expertise: Strong understanding of Extract, Transform, Load processes, with experience in building and optimizing data pipelines. Hyperconverged Infrastructure (HCI): Knowledge of HCI workflow components (data connectors, pipelines, indexes, stages) and experience optimizing workflows for performance. Hitachi Content Platform (HCP): Proficiency in HCP architecture, administration, and maintenance, including security and compliance features. Lucene: Proficiency in Lucene query language syntax for search and retrieval in HCI environments. Scripting: Hands-on experience with PowerShell and/or Bash scripting for automation and system administration. Problem-Solving: Strong analytical skills to troubleshoot complex issues in data pipelines, storage systems, or workflows. Collaboration and Communication: Ability to work effectively in a team and document technical processes clearly. Experience: 3–7+ years in data engineering, storage systems, or infrastructure management. Preferred Skills Familiarity with cloud-based object storage systems (e.g., AWS S3, Azure Blob Storage). Experience with big data technologies (e.g., Hadoop, Spark, Kafka). Knowledge of SQL/NoSQL databases for data extraction and transformation. Familiarity with version control systems (e.g., Git) and monitoring tools (e.g., Prometheus, Nagios). Certifications in Hitachi Vantara, data engineering, or scripting (e.g., AWS Certified Data Analytics, Microsoft PowerShell). Education Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience). Job Type: Contract Pay: $80.00 - $100.00 per hour Expected hours: 40 per week Work Location: Remote