Our Opportunity:

We are looking for a Marketing Data Engineer III at our facility in Plantation, Florida, to implement the strategy, design, execution, system configuration, and operations of the business's marketing databases that help marketers in data-driven decision making.

What You’ll Do: 

• Monitor data pipelines for accuracy, missing data, enhancements, changes, and billing volumes to ensure all data is captured and processed accurately and when needed.
• Work with cross-functional stakeholders in defining and documenting requirements for building high-quality and impactful data products.
• Reconcile data issues and alerts between various systems, finding opportunities to innovate and drive improvements.
• Lead the evaluation, implementation, and deployment of emerging tools and technologies to improve our productivity as a team.
• Develop and deliver communication and education plans on data engineering capabilities, standards, and processes.
• Code, test, and document new or modified data systems to create robust and scalable applications for reporting and data analytics.
• Own and document data pipelines, monitoring, data accuracy and data lineage.
• Deploy, evaluate, and refine data pipelines for ML/DS models at scale in a production environment.
• Explore structured/unstructured data sources to build a robust feature store to help scale model building process.

What You’ll Need:

• Master’s degree in Computer Science, Computer Engineering, or related field and 5 years of experience.
• Experience must include 3 years in the following: developing Data integration solutions;
• Data Engineering experience focused on Data Modeling, Data Architecture, and Developing modern data pipelines and applications for reporting and analytics;
• SQL, data warehouse, performance tuning, and ETL pipelines using AWS Glue, Pyspark;
• Infrastructure, Scripting, and Architecture;
• Experience in Tableau, Looker, or similar visualization/business intelligence platform;
• PyTorch, JavaScript, D3.js & Restful API’s;
• Snowflake, Vertica, Postgres, etc.;
• Professional Python experience;
• Working with marketing data;
• Setting up end-to-end data pipelines in an enterprise environment;
• Cloud computing technology like AWS, Google Cloud, etc.;
• Exposure to Apache Airflow or other DAG frameworks;
• MarTech Knowledge.
• Experience must also include: Media Mix Modelling and Marketing Attribution; and
• Understanding of link tracking, pixels/tags, Google Analytics, and marketing attribution.
• The position is eligible for the Employee Referral Program.