Data Workflow Engineer – AI & Automation Focus

Responsibilities

• Design, build, and maintain end-to-end data pipelines to consolidate and transform occupancy, lease, and facilities data from multiple sources
• Develop automated validation and reconciliation frameworks to improve data quality and reduce manual effort
• Analyze current workflows, identify pain points, and translate them into scalable data engineering solutions
• Collaborate with business and technical stakeholders to align solutions with operational needs
• Partner with offshore teams to automate repetitive processes and improve overall efficiency
• Implement monitoring and alerting systems to proactively identify and resolve data issues
• Explore and apply AI/ML techniques (e.g., anomaly detection, intelligent data matching) to enhance validation and insights
• Continuously improve workflows and processes to increase scalability, accuracy, and performance

• 3+ years of experience in data engineering or a related field
• Strong proficiency in Python and SQL
• Hands‑on experience with ETL/ELT pipelines and orchestration tools (e.g., Airflow, dbt, Prefect)
• Experience working with cloud data platforms (e.g., Snowflake, Big Query, Redshift, Azure Synapse)
• Solid understanding of data modeling, data quality, and reconciliation best practices
• Proven ability to solve complex data challenges and work independently
• Strong communication skills with the ability to work across technical and non-technical teams
• Experience with enterprise systems (e.g., lease, occupancy, facilities platforms) is a plus
• Foundational knowledge or interest in AI/ML concepts (e.g., anomaly detection, NLP, classification)
• Curiosity and willingness to learn new tools and technologies, especially in AI and automation