Full-Time Data Engineer

We are seeking a Data Engineer who is eager to contribute to building the next generation of data pipelines and applications to support our generative AI initiatives. This role is a perfect match for those who are early in their data engineering career, a strong interest in leveraging generative AI technologies and have a "hands-on" approach to coding, building, and cleansing datasets to derive actionable insights.

Responsibilities:

• Engage with business leaders, engineers, and product managers to define and meet data requirements.
• Work closely with technology teams to execute ETL/ELT processes, leveraging cloud-native principles to manage data from diverse sources.
• Participate in the design, construction, and scaling of data pipelines, integrating data from various sources, including internal systems, third-party platforms, and cloud environments.
• Support internal process optimizations by automating workflows, enhancing data delivery, and redesigning infrastructure to boost scalability.
• Apply appropriate design patterns to ensure performance, cost-efficiency, security, scalability, and a positive end-user experience.
• Be actively involved in development sprints, demonstrations, and retrospectives, contributing to the deployment and release processes.
• Cultivate relationships with IT support teams to ensure the smooth deployment of work products.
• 3+ years of experience in data engineering, demonstrating a foundational understanding of data modeling, ETL/ELT principles, and data warehousing.
• Experience with data management fundamentals, data storage principles, and cloud-based data warehouses such as cloud Storage (AWS S3, GCP Cloud Storage, Azure Blob Storage), GCP BigQuery, Snowflake, or similar platforms.
• Proficiency in building data pipelines using Python/SQL.
• Demonstrate experience with workflow orchestration tools like Airflow, or a willingness to learn.
• Experience in applying CI/CD principles and processes to data engineering solutions.
• General understanding of cloud data engineering design patterns and use cases

Desired Characteristics:

• A Bachelor’s degree in Computer Science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or a related quantitative discipline is preferred.
• Effective communication skills, capable of working collaboratively across diverse teams and navigating a large, matrixed organization efficiently.
• Action-oriented – You're constantly figuring out new problems and are regularly showing results with a positive attitude, always displaying ethical behavior, integrity, and building trust