Data Engineer

Senior Data Engineer AnalystRequired Education • Bachelor's degree in computer science, Information Systems, Engineering, or equivalent experienceRequired Qualifications:5–8 years of experience in data engineering, SQL development, data analysis, or related fieldStrong proficiency in SQL and experience with relational databases and data warehousing conceptsExperience with ETL tools, data pipeline frameworks, and big data technologies (preferred)Knowledge of Quality Engineering (QE) fundamentals, including data validation, testing frameworks, and automationStrong problem-solving, analytical, and troubleshooting skillsExcellent communication and stakeholder management abilitiesExperience working in complex, cross-functional environmentsRequired Responsibilities:Design, build, and maintain scalable data pipelines and ETL processes to support analytics and operational use casesDevelop and optimize complex SQL queries for data extraction, transformation, and validationImplement data quality checks, validation rules, and QE practices to ensure accuracy, consistency, and reliability of dataPartner with business and technology teams to translate requirements into technical data solutionsAnalyze and troubleshoot data issues, performing root cause analysis and implementing fixesDrive data governance and standardization efforts across systems and platformsSupport system integration and data flow across multiple applications and environmentsLead data-related aspects of system changes, from requirements through development, testing (QE), and deploymentCollaborate with QE teams to define test strategies, automate data validation, and ensure end-to-end system qualityCommunicate risks, dependencies, and impacts of data solutions to stakeholdersEnsure compliance with data governance policies, regulatory requirements, and best practicesThe Senior Data Engineer Analyst is a seasoned technical professional responsible for building, optimizing, and maintaining scalable data pipelines and ensuring data quality across platforms. This role applies in-depth knowledge of data engineering principles, SQL development, and quality engineering (QE) fundamentals to improve data processes, workflows, and system reliability. Applies strong expertise in data engineering, contributing to the design and enhancement of data pipelines, architectures, and data quality frameworks. Demonstrates a deep understanding of how data systems integrate across functions, enabling efficient data flow and alignment with business objectives. Evaluates moderately complex data challenges, balancing performance, scalability, and data integrity considerations using multiple data sources. Utilizes advanced SQL skills to design, optimize, and troubleshoot queries, stored procedures, and data transformations. Strong analytical, communication, and collaboration skills are required to work across technical and business teams. Influences technical decisions through advisory support and contributes to large-scale data initiatives with regional or global impact.**Only those lawfully authorized to work in the designated country associated with the position will be considered.****Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**