Data Science Engineer - W2 ONLY

We are seeking a highly motivated Data Engineer to join our Retail & Wealth technology team. The ideal candidate will possess strong expertise in SQL, data engineering, quality engineering fundamentals, and scripting, with experience supporting large-scale data platforms and AI-driven initiatives. This role will focus on building, enhancing, and maintaining data pipelines, ensuring data quality, and enabling analytics and AI use cases across business functions., * Design, develop, optimize, and maintain scalable data pipelines and data integration solutions.

• Develop and support data models, ETL/ELT processes, and database solutions using SQL and scripting languages.
• Perform data profiling, validation, reconciliation, and quality assurance activities to ensure data integrity and accuracy.
• Collaborate with business analysts, data scientists, product teams, and technology partners to deliver data-driven solutions.
• Support AI and advanced analytics initiatives by preparing and transforming large datasets for model development and reporting.
• Implement and maintain automated testing frameworks and quality engineering practices for data applications.
• Troubleshoot data issues, performance bottlenecks, and production incidents while ensuring timely resolution.
• Participate in code reviews and promote development best practices, standards, and governance.
• Develop monitoring and alerting solutions to proactively identify and resolve data quality issues.
• Contribute to continuous improvement initiatives focused on automation, efficiency, and scalability.

• 6-10 years of experience in Data Engineering, Data Warehousing, or related technology roles.
• Strong hands-on experience with SQL and complex query optimization.
• Experience with scripting languages such as Python, Shell Scripting, or similar technologies.
• Solid understanding of data engineering concepts, ETL/ELT development, and data integration frameworks.
• Strong knowledge of Quality Engineering (QE) fundamentals, testing methodologies, and automation practices.
• Experience working with relational and distributed database technologies.
• Understanding of data quality, data governance, and metadata management principles.
• Strong analytical, problem-solving, and debugging skills.
• Excellent communication and stakeholder management abilities.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.

Preferred Qualifications

• Experience supporting AI, Machine Learning, or advanced analytics initiatives.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Experience with big data technologies and modern data platforms.
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience within Retail Banking, Wealth Management, Financial Services, or related domains.
• Familiarity with Agile/Scrum development methodologies.

Technical Skills

Required

• SQL
• Python or Shell Scripting
• Data Engineering
• ETL/ELT Development
• Data Quality & Validation
• Quality Engineering Fundamentals
• Database Design & Optimization
• Data Modeling

Preferred

• AI/ML Data Preparation
• Cloud Technologies (AWS/Azure/GCP)
• Spark, Hadoop, or Distributed Data Platforms
• CI/CD Tools
• Git Version Control

Competencies

• Strong ownership and accountability
• Critical thinking and problem-solving
• Attention to detail
• Collaboration and teamwork
• Ability to work in a fast-paced environment
• Continuous learning mindset