Job Title

Overview The Nationwide Group (TNG) is a pioneer in designing and developing outsourced financial services software, exclusively focused on creating comprehensive and customizable solutions for the real estate industry. Utilizing world-class technology, TNG delivers solutions to the entire mortgage life cycle through its affiliated organizations. TNG benefits from a broad product suite, infrastructure, and industry expertise and has transformed the home purchase, sale, mortgage, and refinance process for consumers, lenders, realtors, and mortgage brokers. At TNG, our data engineering team plays a vital role in ensuring reliable, scalable, and intelligent data solutions. As a Data Engineer with expertise in Artificial Intelligence (AI) and AWS, you will be responsible for building advanced data pipelines, optimizing data infrastructure, and enabling machine learning and analytics at scale. You will collaborate closely with business stakeholders, data scientists, and product teams to deliver impactful solutions that power next-generation AI-driven capabilities. All projects delivered in Agile environment. Responsibilities Design, build, and maintain ETL/ELT pipelines for structured and unstructured data, leveraging AWS native tools (Glue, Kinesis, Lambda, S3, Redshift). Develop and manage cloud data warehouses (e.g., Amazon Redshift, Snowflake) to support analytics and machine learning workloads. Support relational (PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB) environments, optimizing schema design and query performance. Implement automated quality checks, monitoring, and governance frameworks to ensure clean, trusted data. Continuously optimize pipelines, storage, and compute to ensure scalability and cost-effectiveness on AWS. Apply security best practices and ensure compliance with TNG standards and industry regulations when handling sensitive data. Work with product managers, analysts, and AI teams to ensure data infrastructure aligns with business goals. Stay updated with evolving AI, data engineering, and cloud technologies to recommend improvements and best practices. Qualifications Education & Experience Bachelors degree in Computer Science, Data Engineering, or related field. 46 years of experience in data engineering, with at least 2 years focused on AWS cloud services. Technical Skills Strong proficiency in AWS services: Glue, Redshift, S3, Lambda. Expertise in SQL and advanced database design. Experience with MySQL Solid background in Python, Java, or Scala for data engineering and AI integration. Experience with ETL tools like Glue, Informatica, DataStage. Hands-on with version control (Git) and CI/CD for data workflows. Knowledge of data visualization/reporting tools (Jaspersoft, Tableau, Power BI) is an asset. Familiarity with AI/ML lifecycle (model training, feature engineering, deployment, and monitoring) Nice to have: experience with GoAnywhere, Jaspersoft, SageMaker, EMR Soft Skills Strong problem-solving and analytical mindset. Effective communicator able to collaborate with technical and non-technical teams. Adaptability and passion for continuous learning in emerging AI and data technologies. TNG Commitment We are committed to providing persons with disabilities equal opportunities regarding all employment activities, including access to jobs and accommodations during employment as required, in accordance with the Ontario Human Rights Code (OHRC) and the Accessibility for Ontarians with Disabilities Act (AODA). If you are a driven and innovative professional looking to contribute to AI-driven data solutions, we invite you to apply and join our dynamic and growing organization. Location note: Markham, Ontario, Canada #J-18808-Ljbffr