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Senior Data Engineer

Remote:

Full Remote

Salary:

140 - 175K yearly

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

5+ years of data engineering experience, Excellent SQL, Python, and data modeling skills, Experience with dbt and Snowflake, Extensive experience with digital marketing data.

Key responsabilities:

Develop and optimize data models
Design and maintain a scalable data warehouse infrastructure

Age of Learning E-learning SME http://www.ageoflearning.com/

501 - 1000 Employees

See all jobs

Job description

Company Overview:

Age of Learning® is the leading developer of engaging and effective Pre-K through 5th grade learning resources that help children build a strong foundation for academic success and a lifelong love of learning. The company’s research-based curriculum, developed by education experts, includes the award-winning programs ABCmouse.com® Early Learning Academy and Adventure Academy™, as well as the adaptive, personalized school solutions, My Math Academy®, My Reading Academy®, and My Reading Academy Español. Having served over 50 million children worldwide, Age of Learning is a global leader in efforts to advance equity, access, and opportunity for all children. To learn more about Age of Learning, visit www.AgeofLearning.com.

Summary:

As a Senior Data Engineer specializing in Digital Marketing Analytics, you will design, implement, and manage data solutions to enable marketing and user acquisition insights. You’ll work closely with data analysts, marketing teams, and other engineers to ensure seamless data integration, transformation, and accessibility for analytics and reporting.

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 transformation pipelines

Manage and monitor data ingestion including API integrations and event streams

Work closely with data analysts, product engineers, 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

Extensive experience with digital marketing data such as campaign performance, user acquisition, and attribution models, preferably for a mobile app

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 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

Total Compensation:

The estimated salary range for a new hire in this position is $140,000 USD to $175,000 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), 12 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.

An Equal Opportunity Employer

Age of Learning, Inc. (the “Company”) is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender expression, age, physical or mental disability, medical condition, pregnancy, veteran or military status, marital status, sexual orientation, gender identity, domestic partner status, genetic information, or any other legally-recognized protected basis under federal, state, or local laws, regulations, or ordinances. Age of Learning, Inc. (the “Company”) will consider qualified applicants with criminal histories pursuant to EEOC requirements and state applicable laws, e.g. New York City Fair Chance Act.

Employee/Applicant Privacy Notice