Job Opportunity: Data Engineer (Mid to Senior Level)

Company: Age of Learning

Salary Range: $100,000 USD to $145,000 USD

Job Summary

Join our dynamic Data and Analytics team as a full-time Data Engineer. Focus primarily on enhancing data products by crafting elegant, scalable data warehousing solutions, real-time analytics transformations, and robust data pipelines for Machine Learning training and inference.

Key Responsibilities

• Design, develop, test, implement, document, and support Data & Analytics systems, adhering to software engineering best practices.
• Proactively identify and resolve operational issues with evolutionary recommendations.
• Ensure testing and validation mechanisms are in place, so data transformations are verified, complete, documented, and meet SLAs.
• Execute projects on tight deadlines in a fast-paced matrixed organization, collaborating with multiple product engineering teams.
• Advocate and participate in Agile/Scrum practice to ensure process health.
• Communicate effectively about data, engineering, processes, and requirements.

Required Qualifications

• 3+ years of data engineering and/or software development corporate experience.
• Able to leverage abstraction to solve complex problems.
• Experience designing and building scalable data systems.
• Excellent SQL skills.
• Proficient in dimensional modeling for data warehousing.
• Fluent in a general-purpose programming language (preference for Python).
• Understands how to leverage both functional and object-oriented programming.
• Familiarity with DevOps (preference for AWS experience).
• Great at data mining.
• Extensive exposure to Agile workflows.
• Exemplary communication skills (both written and oral).
• Good time management skills.
• Can work iteratively, defining requirements as needed.

Preferred Qualifications

• Extensive experience with DBT.
• Extensive experience with Snowflake.
• Extensive experience with columnar data formats.
• Extensive experience with A/B Testing and related optimization across desktop and mobile.
• Extensive experience with DevOps (preference for AWS experience).
• Experience with ML pipelines.
• Experience working in Educational Technology companies and a competitive landscape.

Salary may vary depending on job-related factors such as knowledge, skills, experience, and location.

Apply now to become a part of Age of Learning’s innovative team and help shape the future of data and analytics in educational technology!