Senior Analytics Engineer
Role details
Job location
Tech stack
Job description
Their platform empowers educators and administrators with data-driven insights to improve student outcomes, optimize teaching strategies, and better understand learning progress. With a strong national footprint and mission-driven culture, the company is focused on leveraging data to drive meaningful impact in education at scale.
- What You Will Do As a Senior Analytics Engineer , you will help design and scale the data systems that power analytics, reporting, and product insights across the organization. You will:
- Build and maintain scalable ELT pipelines using dbt and modern data tooling.
- Design and optimize data warehouse schemas and SQL transformations.
- Develop high-quality analytical data models and metrics for business and product use cases.
- Partner with data scientists, analysts, and engineers to ensure reliable and consistent datasets.
- Implement best practices around data governance, privacy, and security .
- Improve pipeline reliability, testing, and deployment processes.
- Contribute to CI/CD workflows, code reviews, and team standards .
- Mentor team members and participate in knowledge-sharing initiatives.
Example areas of impact:
- Building datasets that track student progress and performance over time .
- Designing slowly changing dimension models for complex education systems.
- Improving data pipeline efficiency and reliability., Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant se…
- 3 days ago
Requirements
- 5+ years of experience in analytics engineering, data engineering, or software development .
- Strong expertise in SQL and analytical data modeling .
- Experience with dbt and code-based ETL/ELT frameworks .
- Experience building and maintaining data pipelines and warehouse architectures .
- Strong understanding of Kimball data modeling principles .
- Experience working cross-functionally with data and product teams.
- Proficiency with Git and modern development workflows .
- Strong written and verbal communication skills.
- Bachelor's degree in Computer Science, Data Science, or equivalent experience.
- Preferred
- Proficiency in Python or another programming language.
- Experience with Snowflake, AWS (S3, RDS, etc.), and Postgres .
- Experience with orchestration tools like Airflow .
- Familiarity with BI tools such as Looker or Tableau .
- Experience with semantic layers like Cube.dev .
- Familiarity with metadata tools (e.g., Atlan).
- Experience in education or edtech .
- Passion for mentorship, teaching, and improving engineering standards.
- Interest in building scalable, high-quality data platforms.
Benefits & conditions
-
Base Salary: $137K - $157K
-
Bonus: Eligible for annual discretionary bonus
-
Benefits Include:
-
Comprehensive medical, dental, and vision coverage
-
401(k) retirement plan
-
Paid time off and parental leave
-
Mental health and wellness support
-
Professional development programs
Impact: You'll help power data-driven decision-making for educators and administrators, directly influencing how millions of students learn and succeed. Work Environment: Fully remote, collaborative, and mission-driven with a strong emphasis on learning, mentorship, and continuous improvement. The gross annual salary range for this role is $137,000 - $157,000 , and the position is eligible for an annual discretionary bonus based on individual and company performance.
