Data Engineer

Grow your career as a The Data Engineer Senior Analyst with an innovative global bank in Rutherford, NJ. Contract role with strong possibility of extension and/or conversion. Will require working a hybrid schedule 2-3 days onsite per week. Contract Duration: 6+ Months The Data Engineer Senior 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. Responsibilities • Design, build, and maintain scalable data pipelines and ETL processes to support analytics and operational use cases • Develop and optimize complex SQL queries for data extraction, transformation, and validation • Implement data quality checks, validation rules, and QE practices to ensure accuracy, consistency, and reliability of data • Partner with business and technology teams to translate requirements into technical data solutions • Analyze and troubleshoot data issues, performing root cause analysis and implementing fixes • Drive data governance and standardization efforts across systems and platforms • Support system integration and data flow across multiple applications and environments • Lead data-related aspects of system changes, from requirements through development, testing (QE), and deployment • Collaborate with QE teams to define test strategies, automate data validation, and ensure end-to-end system quality • Communicate risks, dependencies, and impacts of data solutions to stakeholders • Ensure compliance with data governance policies, regulatory requirements, and best practices Qualifications: • 5–8 years of experience in data engineering, SQL development, data analysis, or related field • Strong proficiency in SQL and experience with relational databases and data warehousing concepts • Experience with ETL tools, data pipeline frameworks, and big data technologies (preferred) • Knowledge of Quality Engineering (QE) fundamentals, including data validation, testing frameworks, and automation • Strong problem-solving, analytical, and troubleshooting skills • Excellent communication and stakeholder management abilities • Experience working in complex, cross-functional environments Education • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience