Athena ai

At Athena AI, we're dedicated to transforming the educational landscape by delivering exceptional experiences for students and their support systems. We achieve this through a collaborative, innovative approach, and we're seeking a talented Data Engineer to join our team in our vibrant Santa Monica, CA office.

We believe in the power of in-person collaboration, fostering strong relationships and driving impactful solutions.

Our Core Values:

• 🪄 Make Magic: We craft elegant, impactful solutions that inspire and delight.
• ☀️ Rise to the Moment: We embrace challenges with enthusiasm and dedication, seizing opportunities to make a difference.
• 🔗 Connect the Dots: We build strong connections between our work, our team, and the people we serve, driving meaningful outcomes.
• 🚀 Make High Leverage Bets: We strategically prioritize initiatives, maximizing impact with every resource.
• ➡️ Simplify and Go: We focus on essential tasks, prioritizing clarity and speed to achieve rapid progress.

We're committed to investing in our team members, fostering a culture of growth and impact.

Your Role in Shaping the Future of Learning:

As a Data Engineer at Athena AI, you'll play a crucial role in building and maintaining our data infrastructure and pipelines. You'll collaborate closely with cross-functional teams, including Fullstack Software Engineers, AI/ML Engineers, and Product Management, to ensure seamless data delivery and processing. We value engineers who prioritize outcomes over outputs and thrive in a dynamic, early-stage startup environment.

Key Responsibilities:

• Design, develop, and maintain scalable ETL/ELT data pipelines using modern data engineering tools and best practices.
• Build and optimize data models and architectures to support analytics, model training, and business intelligence needs.
• Implement data quality controls and monitoring systems to ensure data accuracy and reliability.
• Collaborate with cross-functional teams to understand data requirements and provide technical solutions. 1 1. en-in.whatjobs.com en-in.whatjobs.com
• Write efficient SQL queries and optimize database performance.
• Deploy and maintain cloud-based data infrastructure.
• Create and maintain technical documentation for data systems and processes.

What We're Looking For:

• Deep understanding and extensive experience with distributed systems.
• Proven experience building and maintaining large-scale ETL/ELT pipelines.
• 3+ years of experience in data engineering or a similar role.
• Strong programming skills in Python, SQL, and shell scripting.
• Experience with ETL tools and data pipeline orchestration (e.g., Airflow).
• Proficiency in working with both relational and NoSQL databases.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Knowledge of data warehousing concepts and dimensional modeling.