Sr. Data Engineer

Sr. Data Engineer - 12+ month Contract - Hybrid (3 days on site) - Oralndo, FL

Job Summary

- Lead research and development of advanced analytical data solutions, including generative AI.
- Collaborate with business and technical stakeholders to gather requirements and understand data sources.
- Design, build, and maintain effective data pipelines and relational databases (e.g., Snowflake, PostgreSQL).
- Translate high-level requirements into actionable technical tasks for data engineering.
- Contribute hands-on development, conduct design reviews, and communicate project progress to stakeholders.
- Develop and implement complex data engineering solutions to support advanced analytics.
- Manage and deploy code across multiple environments (Dev, QA, Production) using DevOps and source control (e.g., Git).
- Build and maintain ELT/ETL data pipelines using job scheduling/orchestration tools (e.g., Airflow).
- Utilize SQL and Python for data engineering and analytics tasks.
- Apply experience with containerization technologies (e.g., Docker, Kubernetes).
- Leverage knowledge of generative AI models, knowledge graphs, data mesh, and data-sharing platforms.
- Work as part of a hybrid team, with 3 days on-site in Orlando, FL.