> Markdown version of [/jobs/ext/4385622-data-operations-specialist](https://www.wearedevelopers.com/jobs/ext/4385622-data-operations-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Operations Specialist - **Company:** Prime Inc. - **Location:** Rochelle Park, NJ, United States - **Salary:** $41,600.0 - $52,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Big Data, Business Systems, Spreadsheets, Data Validation, Data Files, Data Integrity, Extract Transform Load (ETL), Data Transformation, Operational Databases, DataOps, Simple Data Format, Data Processing, Data Management, Text Files - **Published:** October 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=aaf8facfbb6ce23e ## About the Role We are seeking a detail-oriented and technically proficient Data Operations Specialist to support the processing, importing, transformation, and validation of data files received from multiple external sources. This position is responsible for managing data through various loading processes, including ETL (Extract, Transform, Load), Excel, CSV, and other file formats, ensuring that information is accurately formatted, processed, and integrated into internal databases and business systems. The ideal candidate is highly organized, analytical, proficient in Microsoft Excel, and comfortable working with large datasets. The ability to identify data discrepancies, troubleshoot file issues, and ensure data accuracy and consistency is essential to success in this role., * Strong proficiency in Microsoft Excel, including sorting, filtering, formulas, data manipulation, and working with large spreadsheets. * Experience working with data files, importing and exporting information, and managing structured datasets. * Familiarity with ETL processes, data transformation, and data-loading procedures. * Strong attention to detail and a commitment to data accuracy. * Excellent organizational, analytical, and problem-solving skills. * Ability to identify discrepancies, investigate errors, and resolve routine data-processing issues. * Ability to manage multiple files and tasks while meeting established deadlines. * Strong communication skills and the ability to work independently as well as part of a team. Ideal Candidate The ideal candidate is a hands-on, detail-oriented professional who enjoys working with data and ensuring that information moves accurately and efficiently between systems. This individual should be comfortable working with large volumes of files, following established procedures, investigating inconsistencies, and taking ownership of the data-loading process from receipt through successful completion. The successful candidate will be dependable, methodical, proactive in resolving issues, and interested in finding ways to make data-processing operations more efficient. ## Description Data Processing & File Management * Receive, organize, and process incoming data files from multiple external sources. * Perform ETL and other data-loading processes to prepare information for import into internal systems. * Work with various file formats, including Excel, CSV, text files, and other structured data formats. * Review, manipulate, and transform data to meet established formatting and processing requirements. * Manage recurring data imports and ensure files are processed accurately and within established deadlines. Data Validation & Quality Control * Review incoming files for completeness, accuracy, consistency, and proper formatting. * Identify missing information, duplicate records, formatting inconsistencies, and other data discrepancies. * Troubleshoot file-loading errors and resolve data-related issues. * Reconcile processed data against source files to verify accuracy. * Maintain quality-control procedures to ensure data integrity throughout the loading process. Data Management & Coordination * Maintain organized file structures, processing records, and documentation. * Track incoming files and monitor processing status to ensure timely completion. * Communicate with internal team members regarding missing files, processing issues, and data discrepancies. * Coordinate with other departments and, when necessary, external data providers to resolve file-related issues. * Help develop and improve standardized procedures for data processing and loading.