Senior Data Engineer
About The Position
About the Role Weber Shandwick is seeking a talented Senior Data Engineer to join our team in Washington, DC. You will be joining a team of business strategists, data scientists and data engineers to build innovative data solutions and would work at the intersection of Data Engineering and Applied Generative AI. The Senior Data Engineer will design, build, test, implement and maintain data solutions that support clients’ Enterprise Analytics. The incumbent will work with multiple technology partners to provision and maintain a data infrastructure used for media analyses. The role will work closely with business analysts and data scientists to ensure the platform meets business demands. Key Responsibilities Data Engineering: 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. Applied AI: Collaborate with data scientists to productionize AI/ML models, including Generative AI solutions. Integrate Gen AI solutions into business workflows, ensuring reliability and scalability. Platform & Tooling: Leverage cloud platforms (preferably GCP) for data engineering and AI workloads. Develop dashboards, reports, or visualizations (Qlik experience is a plus). Automate data workflows and implement CI/CD for data pipelines and AI services.
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.
- 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
Nice To Haves
- Relevant GCP or AWS certifications
- Experience with social media data and APIs
- Working knowledge of BI platforms such as Tableau, Power BI, Qlik, etc.
- Experience working in a consulting company or agency
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.
- Develop dashboards, reports, or visualizations (Qlik experience is a plus).
- Automate data workflows and implement CI/CD for data pipelines and AI services.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
