We are seeking a remote, full-time Data Specialist with 5+ years of experience in data analysis, validation, and transformation. This role focuses on reviewing and validating data from multiple sources, ensuring accurate mapping into standardized formats, and maintaining high data quality across pipelines. The ideal candidate has experience working with raw data files, SQL-based systems, and AWS data environments. This project has a 3-6 month duration with a possibility for long-term engagement. Our client is a leading energy technology company focused on digitizing fuel operations through a single, real-time platform. Their software connects people, equipment, and facilities to provide enterprise-wide visibility and data-driven insights that fuel asset optimization, improve operational efficiency, and help organizations manage risk, maintenance, and fuel logistics more effectively. Responsibilities Data Validation & Quality Assurance Analyze raw data from clients, devices, and external sources Validate that data is correctly processed, transformed, and stored Identify inconsistencies, anomalies, and data quality issues Ensure outputs match expected results after processing Review and validate data mappings created by engineering teams Ensure raw data is accurately converted into standard formats Collaborate with data engineers to refine and improve mapping logic Take ownership of data quality across systems and workflows Establish and enforce best practices for data validation and integrity Act as a guide for teams to ensure reliable data processing Work closely with data engineering, application engineering, and product teams to ensure alignment on data needs Provide feedback on data issues and recommend improvements Bridge the gap between raw data ingestion and business-ready datasets Required Experience Excellent written and verbal English communication skills 5+ years of data validation expe