Weber Shandwick is seeking a Senior Data Engineer to build innovative data solutions at the intersection of Data Engineering and Applied Generative AI, supporting clients' Enterprise Analytics and working with multiple technology partners to provision and maintain a data infrastructure for media analyses.
Requirements
- 3+ years of experience as a Data Engineer using proven, industry-leading cloud platforms such as AWS, GCP, and Azure
- Proficiency coding in Python for data processing, automation, and AI/ML workflows.
- Advanced SQL skills for complex data manipulation, optimization, and analytics.
- Knowledge of orchestration tools (e.g., Airflow, Dagster, Prefect).
- Experience developing sophisticated data pipelines using AWS EMR, Apache Spark, etc.
- Relevant GCP or AWS certifications
- Working knowledge of BI platforms such as Tableau, Power BI, Qlik, etc.
Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes.
- Optimize SQL queries and database performance for analytical and operational workloads.
- Implement data quality, governance, and security best practices.
- Collaborate with data scientists to productionize AI/ML models, including Generative AI solutions.
- Integrate Gen AI solutions into business workflows, ensuring reliability and scalability.
- Leverage cloud platforms (preferably GCP) for data engineering and AI workloads.
- Automate data workflows and implement CI/CD for data pipelines and AI services.
Other
- Creative-minded individual, enjoys open-ended problems and challenging the status quo
- Excellent written and spoken communication skills
- Ability to conduct independent work and manage projects from beginning to end
- Experience with social media data and APIs
- Experience working in a consulting company or agency
