- Salary
- $175k – $185k
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Experience
- 8+ years
- Source
- RecruiterFlow
Description
Who is Recruiting from Scratch: Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.https://www.recruitingfromscratch.com/
Staff Analytics Engineer
Location: Remote (United States)
Company Stage of Funding: Established / Growth-Stage EdTech Company
Office Type: Fully Remote
Salary: $175,000 – $185,000
1. Company Description
Company Stage of Funding: Established / Growth-Stage EdTech Company
Office Type: Fully Remote
Salary: $175,000 – $185,000
1. Company Description
We’re representing a leading edtech company building next-generation curriculum, assessment, and learning tools used by millions of students across the United States.Their platform empowers educators and administrators with data-driven insights that improve student outcomes, optimize teaching strategies, and support more effective school systems. The company operates at significant scale, serving over 15 million students nationwide, and is deeply focused on leveraging data to drive meaningful educational impact.
2. What You Will Do
2. What You Will Do
As a Staff Analytics Engineer, you will play a critical role in shaping the company’s data foundation—designing systems, models, and pipelines that power analytics, reporting, and product insights.You will:
3. Ideal Background
4. Preferred
5. Compensation and Benefits
You’ll help power data-driven decision-making for educators and administrators across the country, directly influencing how millions of students learn and grow.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 $175,000 – $185,000, and the position is eligible for an annual discretionary bonus based on individual and company performance.
- Design and build scalable ELT pipelines using dbt and modern data tooling.
- Architect and maintain data warehouse schemas that support analytics and reporting.
- Develop robust analytical models and metrics for internal and customer-facing use cases.
- Work closely with data scientists, analysts, and engineers to ensure clean, reliable datasets.
- Implement best practices around data governance, privacy, and security.
- Optimize SQL transformations using advanced techniques (CTEs, window functions, etc.).
- Improve CI/CD processes, testing frameworks, and deployment pipelines for data workflows.
- Mentor engineers and contribute to team-wide standards, documentation, and best practices.
- Building datasets that track student performance and progress over time.
- Designing slowly changing dimension models tailored to education systems.
- Improving data pipeline reliability and scalability.
3. Ideal Background
- 8+ years of experience in software, data, or analytics engineering.
- 5+ years specifically in data/analytics engineering roles.
- Deep expertise in SQL and analytical data modeling.
- Strong experience with dbt and code-based ETL/ELT frameworks.
- Experience designing scalable data pipelines and warehouse architectures.
- Strong understanding of Kimball data modeling principles.
- Experience working with cross-functional teams (data science, engineering, product).
- Excellent written and verbal communication skills.
- Bachelor’s degree in Computer Science, Data Science, or equivalent experience.
4. 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.
- Exposure to metadata tools (e.g., Atlan).
- Experience in education or edtech.
- Passion for mentorship, knowledge sharing, and improving team standards.
- Strong interest in building high-quality, scalable data systems.
5. Compensation and Benefits
- Base Salary: $175K – $185K
- 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
You’ll help power data-driven decision-making for educators and administrators across the country, directly influencing how millions of students learn and grow.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 $175,000 – $185,000, and the position is eligible for an annual discretionary bonus based on individual and company performance.
Skills
PythonAWSCI/CDSQLAirflowSnowflakeData ScienceETLTableauLooker