Data Engineer

We are seeking a highly skilled Senior Data Engineer to architect, build, and optimize enterprise grade data pipelines across cloud, on prem, and hybrid environments. This role requires deep expertise in Qlik Replicate, Snowflake, DBT Cloud, Astronomer Airflow, and Python based ingestion frameworks, with strong engineering discipline around schema governance, DevOps CI/CD, monitoring, and performance optimization. The ideal candidate thrives in complex data ecosystems and brings a strong mindset around automation, metadata driven design, and secure, governed ingestion. Responsibilities:

• Data Pipeline Architecture & Development
• Schema Drift & Schema Evolution
• Database Replication & CDC
• Data Governance, Security & Tokenization
• Orchestration & Automation
• Version Control & Code Quality

• 8+ years of hands on data engineering experience.
• Deep expertise with Snowflake, including data masking policies, RBAC, performance tuning, and advanced SQL.
• Strong experience with Qlik Replicate for CDC and database replication.
• Excellent proficiency in Python and Pyspark for ingestion frameworks and automation.
• Hands on experience with DBT Cloud and Astronomer Airflow.
• Experience with schema drift detection and schema evolution patterns.
• Experience with GitLab and CI/CD pipelines.
• Familiarity with Protegrity or similar data protection platforms.

Jones Lang LaSalle

• Raleigh, NC JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology fo…