Data Engineer (Senior Level)

Key Skills

AWS, Azure, Data Engineering, DevOps, Effective communication skills, Google Cloud Platform (GCP), Snowflake

Job Description

Our Data and Analytics team is seeking a full-time Data Engineer. This person will primarily focus on supporting data products by building elegant, scalable data warehouses, implementing large-scale AB testing frameworks, and evolving self-serve analytics solutions. Your efforts will be critical in driving data-driven decision-making and enhancing our overall data infrastructure.

Responsibilities:

• Develop and optimize data models to support various business needs, ensuring data consistency and accuracy across the organization.
• Design, build, and maintain a simple, effective, and scalable data warehouse infrastructure using Snowflake.
• Implement and manage ELT processes with dbt to ensure reliable data pipelines.
• Work closely with data analysts and business stakeholders to understand their requirements and deliver actionable insights.
• Mentor and support analysts and peers, fostering a culture of learning and continuous improvement.
• Proactively identify and resolve operational issues with evolutionary recommendations
• Ensure testing and validation mechanisms are in place so that data transformations are verified, complete, documented, and meet SLAs

Required Qualifications:

• 5+ years of data engineering experience
• Able to leverage abstraction to solve complex problems
• Excellent SQL, Python, and data modeling skills
• Experience with dbt and Snowflake
• Experience designing and building scalable data systems
• Strong communication and collaboration skills
• Experience managing projects and delivering results within set timelines
• Can work iteratively, defining requirements as needed

Preferred Qualifications:

• Extensive experience with DBT
• Extensive experience with Snowflake
• Experience data modeling clickstream data generated from website and app traffic
• Experience building A/B Testing frameworks
• Familiarity with DevOps practices and tools for managing data infrastructure
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Understanding of machine learning and data science concepts

The estimated salary range for a new hire into this position is $140,000 USD to $180,000 USD. Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location.

Age of Learning currently provides:

• 90% of employee health and welfare benefits premiums & 65% of dependent benefits premiums
• A 401(k) program with employer match
• 15 paid vacation days (increases to 20 days on your 3-year anniversary), 11 observed national paid holidays plus 9 sick days
• Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions