Senior Data Engineer

Key Skills

AWS, Azure, Data Biuld Tool - dbt, Data Engineering, Data Modeling, Data science techniques, DevOps, Effective communication skills, Google Cloud Platform (GCP), Machine learning techniques, Snowflake, SQL

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, and evolving self-serve analytics solutions. Your efforts will be critical in driving data-driven decision-making and enhancing our overall data infrastructure.

Responsibilities:

• 5+ years of data engineering experience
• Able to leverage abstraction to solve complex problems
• Experience designing and building scalable data warehouses for access across the organization
• Excellent SQL, data modeling skills
• Experience with dbt and Snowflake (or other modern data warehousing solutions)
• Experience implementing data validation and monitoring systems
• Excellent communication skills
• Prior experience with communicating with technical and non-technical audience
• Experience managing projects and delivering results within set timelines
• Can work iteratively, defining requirements as needed

Preferred Qualifications:

• Extensive experience with DBT, Snowflake and Python
• Experience data modeling clickstream data generated from website and app traffic
• Experience building data systems that adhere to data government principles
• 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
• Experience working in an agile environment
• Experience and preference to be a part of a team
• Strong product sense and commitment to data quality

The estimated salary range for a new hire in this position is $140,000 USD to $165,000 USD. Salary may vary depending on job-related factors, including 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

Security Advisory

At Age of Learning, we prioritize a safe recruitment process. Communication will come solely from official Age of Learning email addresses, @aofl.com, or our verified LinkedIn Recruiter accounts — be cautious of deviations. We will never request sensitive personal information during the early application stages. Interviews are conducted via phone, in person, or Zoom — never through messaging apps. Job offers are communicated verbally and followed by written documentation via Docusign. Any requests for personal information will occur through secure channels only.