Sr. Data Engineer

• Support data engineering, analytics, and reporting initiatives to address business needs and improve operational effectiveness.
• Contribute to the design, development, maintenance, and optimization of data management processes, including data acquisition, transformation, quality management, analysis, and visualization.
• Collaborate with business, analytics, and technology teams to integrate data from multiple sources and deliver actionable insights.
• Develop and support scalable data solutions, pipelines, and platforms that enable reporting, analytics, and decision-making.
• Participate in the full lifecycle of data and technology solutions, including design, development, testing, implementation, and support.
• Work independently and collaboratively across multiple layers of technology solutions to deliver business value.
• Assist in identifying opportunities to improve data quality, accessibility, governance, and operational efficiency.

• Bachelor’s degree and 6+ years of relevant experience, or a Master’s degree in a related field.
• Experience working in technology, data, analytics, or related disciplines.
• Demonstrated leadership, collaboration, and presentation skills.
• Knowledge of business operations, products, services, and industry processes is a plus.
• Experience working with data and databases using programming languages and tools such as SQL, Python, Java, or similar technologies.
• Understanding of data modeling concepts, data structures, and scalable data solutions.
• Experience preparing, transforming, and optimizing data for reporting, analytics, and advanced analytical use cases.
• Familiarity with building and supporting data pipelines, integration processes, and large-scale data environments.
• Experience with business intelligence, reporting, and visualization tools.
• Ability to integrate, manage, and leverage data from multiple sources to support business objectives.
• Strong analytical, problem-solving, organizational, communication, and decision-making skills.
• Effective time management and the ability to manage multiple priorities.
• Ability to work collaboratively across teams and communicate technical concepts to both technical and non-technical audiences.
• Ability to handle sensitive information with professionalism and discretion.
• Participation in support or on-call activities may be required based on business needs.

Tools & Technologies

• Business Intelligence and Reporting Tools
• Programming Languages (e.g., Python, SQL)
• Cloud Platforms (e.g., AWS)
• Data Integration and Analytics Technologies

Our client is a financial services corporation offering a various suite of products.