Title of Role: Senior Analytics Engineer
Location: Remote - United States
Company Stage of Funding: Public Company
Office Type: Remote
Salary: $135,000 - $150,000 base + bonus + full benefits
We are partnering with a pioneering education technology company that has been shaping the future of K–12 learning for over two decades. This organization builds immersive digital experiences in reading, math, and science—serving over 15 million students across all 50 states. Their programs integrate formative assessments, next-generation curriculum, and powerful educator tools to improve student outcomes and instructional insight at scale.
This company is widely recognized for combining the agility of a modern tech company with the rigor and mission of educational excellence. They are actively expanding their data engineering team to enhance how students, teachers, and administrators engage with and leverage data in the learning process.
As a Senior Analytics Engineer, you will join a multidisciplinary data team that powers the company’s insights infrastructure. You’ll be responsible for developing scalable, well-documented, and testable data pipelines and models that support product teams, educators, administrators, and internal operations.
Build and maintain ELT pipelines using modern tools like dbt, Fivetran, Airflow, and Snowflake.
Partner with data scientists, analysts, and business users to model clean, modular, and reusable datasets for internal reporting and product analytics.
Support K–12 administrators and educators by building metrics and dimensional models that visualize teaching practices and student learning progress.
Work with product teams to express student learning data through flexible and rich schemas for adaptive educational experiences.
Collaborate with marketing, sales, and finance to unify data across ERP and CRM systems (e.g., Salesforce, HubSpot, Netsuite) and enable actionable reporting.
Analyze performance and debug tricky data issues using SQL, Python, and visualization tools like Tableau and Looker.
Contribute to a data-driven culture by creating documentation, participating in cross-functional learning sessions, and mentoring junior team members.
5+ years of experience in data engineering, analytics engineering, or software development focused on data systems.
Expert-level proficiency with SQL and strong understanding of ETL/ELT frameworks, preferably using dbt.
Solid grasp of analytical data modeling principles, especially Kimball-style dimensional modeling.
Demonstrated experience building reliable and efficient pipelines, with a focus on business logic, maintainability, and performance.
Strong communication skills—capable of translating complex data concepts for both technical and non-technical audiences.
Passion for education or other mission-driven fields is a strong plus.
Fluency in Python for scripting and data analysis.
Experience with data orchestration tools like Airflow, Matillion, or Fivetran.
Familiarity with cloud data platforms such as Snowflake and AWS (S3, RDS, DynamoDB).
Proficiency with BI tools such as Tableau or Looker.
Exposure to metadata management tools like Atlan.
Prior work in education or ed-tech, or contribution to data modeling standards like Caliper Analytics or EdFi.
Base Salary: $135,000 - $150,000
Bonus: Annual discretionary bonus based on individual and company performance
Equity: N/A (Public company)
Benefits Include:
Comprehensive health, dental, vision, and mental health coverage
401(k) retirement plan
Generous PTO and parental leave
Basic life insurance
Access to top-tier professional development programs
This role offers a unique opportunity to work at the forefront of educational transformation, delivering data solutions that empower millions of learners and educators. If you're passionate about analytics engineering and education, we encourage you to apply.
