Data Engineer - Intermediate

The Data and Visualization team is looking for a Data Engineer with a strong analytical focus. This position is ideal for a professional who enjoys technology and has a genuine interest in both data development and dashboard reporting/development. The ideal candidate will act as a bridge between data engineering and business intelligence, ensuring that information is transformed into actionable strategic decisions.

What You’ll Do

• Design and implement robust data models and architectures, ensuring data quality, scalability, and performance.
• Manage project progress, metadata collection, development, and management with moderate supervision.
• Create compelling data visualizations that effectively communicate insights to both technical and non-technical audiences, adhering to data visualization best practices and design principles.
• Lead key efforts in data interpretation, trend identification, and analysis of large datasets to drive business decisions and growth.
• Design and implement robust data models and architectures, ensuring data quality, scalability, and performance. This may involve working with data warehouses, data lakes (Cloud) , and various data sources.
• Create compelling data visualizations that effectively communicate insights to both technical and non-technical audiences, adhering to data visualization best practices and design principles.
• Continuously explore new technologies and techniques to improve BI processes and deliver innovative solutions.

What Experience You Need

• Education & Experience: Completed Bachelor’s degree in a related field with 2+ years of experience as a Data/ML Engineer (or related role).
• Data & ML Engineering: 2+ years of advanced SQL, cloud data lakes (BigQuery, Snowflake, Redshift), and building/optimizing ML data pipelines.
• Visualization & Storytelling: 2+ years of experience with data visualization tools (Looker preferred, Tableau, Power BI) and delivering data insights to both technical and non-technical audiences.
• Cloud Platform: 6+ months of experience with Google Cloud Platform (GCP).
• Language: Minimum English proficiency B2.

What Could Set You Apart

• Knowledge and experience developing or implementing Machine Learning (ML) models using Python, BigQuery ML, Vertex AI, etc.
• Cloud certification is strongly preferred.
• Business Intelligence Certifications: Tableau Desktop Specialist, Tableau Server Certified Associate, or Power BI Data Analyst Associate.
• Strong hands-on experience with Python data manipulation libraries, specifically Pandas and NumPy.
• 1+ years of experience developing and implementing machine learning models using Python or SQL, with a solid foundation in data modeling techniques.