Senior Data Engineer

Pipeline Development & Data Integration

• Design, develop, optimize, and maintain scalable ETL/ELT pipelines and cloud-based data integrations across enterprise systems, APIs, and operational platforms including Yardi and Salesforce.
• Build reliable, high-performance workflows that support the movement and transformation of data from SQL Server and other source systems into AWS-based analytics platforms including Redshift and S3.
• Key Areas: ETL/ELT pipeline development and optimization, SQL Server, API, Yardi, Salesforce, and third-party integrations, AWS S3 and Redshift data workflows, Airflow and AWS Glue orchestration, Pipeline monitoring, reliability, and SLA management.

Collaboration with Analytics, Data Science, and Stakeholders

• Develop and maintain enterprise datasets, models, and transformation frameworks while partnering with Analytics, Data Science, AI Initiatives, and Business teams to refine requirements, improve data accessibility, and deliver trusted datasets that support reporting, analytics, and operational decision-making.
• Key Areas: Data modeling and warehousing, Data quality, governance, and documentation, Cross-functional collaboration with business, analytics and AI teams, Dataset refinement and business requirements gathering, Support for BI, AI/ML, and operational analytics initiatives.

Architecture, Strategic Initiatives & Operational Excellence

• Contribute to enterprise data platform and strategy through participation in large-scale initiatives, complex integration design, and modernization of data infrastructure.
• Support scalable and reliable operations through DevOps, automation, CI/CD, and infrastructure management best practices.
• Key Areas: Enterprise data architecture and integration design, Strategic technology evaluation and innovation, Infrastructure automation and CI/CD practices, Docker, Terraform, and deployment management, Agile/Scrum participation and operational support.