Overview
Remote
USD 124,000.00 - 155,000.00 per year
Full Time
Skills
FOCUS
Innovation
Teamwork
Modeling
Bridging
Data Engineering
Data Modeling
Usability
Product Engineering
Data Quality
Documentation
KPI
Dashboard
Reporting
Decision-making
SQL
Extract
Transform
Load
ELT
Data Warehouse
Business Intelligence
Visualization
Tableau
Microsoft Power BI
Python
R
Scripting
Data Governance
Regulatory Compliance
Analytics
Communication
Collaboration
Educational Technology
Startups
New Relic
Performance Monitoring
Performance Tuning
Caching
Applicant Tracking System
iCIMS
Job Details
Overview
Build the Future
At McGraw Hill, we are dedicated to delivering digital learning experiences that transform education for learners and educators. Our focus is on creating seamless, impactful products that truly benefit our users while supporting growth and collaboration across teams. We foster a culture that values innovation, teamwork, and a balance between career growth and personal well-being.
How can you make an impact?
We are a passionate, fast-growing team within McGraw Hill, a global education technology company that is transforming the way students learn and succeed. Our new product has scaled from Minimum Loveable Product to hundreds of thousands of users, has been featured on the App Store, and has paying customers in its first year of launch.
As we continue to grow, we are seeking a Sr. Software Engineer - Analytics to help us build a best-in-class data ecosystem that powers insights, decision-making, and personalized user experiences. As a Sr. Analytics Engineer, you'll own the design, development, and maintenance of Sharpen's data pipelines and modeling layers. You'll work closely with data scientists, analysts, and product teams to ensure the availability and accuracy of data across the organization. This is a critical technical role that bridges data engineering and analytics, ensuring that our data infrastructure is scalable, reliable, and optimized for analytics and business intelligence.
This is a remote position open to applicants authorized to work for any employer within the United States.
What You'll Do:
What You Bring:
Preferred Experience & Skills:
Why work for us?
The work you do at McGraw Hill will be work that matters. We are collectively designing content that will build the future of education. Play your part and experience a sense of fulfilment that will inspire you to even greater heights.
The pay range for this position is between $124,000- $155,000 annually, however, base pay offered may vary depending on job-related knowledge, skills, experience, and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered. Click here to learn more about our benefit offerings.
McGraw Hill recruiters always use a "@mheducation.com" email address and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email.
49068
Build the Future
At McGraw Hill, we are dedicated to delivering digital learning experiences that transform education for learners and educators. Our focus is on creating seamless, impactful products that truly benefit our users while supporting growth and collaboration across teams. We foster a culture that values innovation, teamwork, and a balance between career growth and personal well-being.
How can you make an impact?
We are a passionate, fast-growing team within McGraw Hill, a global education technology company that is transforming the way students learn and succeed. Our new product has scaled from Minimum Loveable Product to hundreds of thousands of users, has been featured on the App Store, and has paying customers in its first year of launch.
As we continue to grow, we are seeking a Sr. Software Engineer - Analytics to help us build a best-in-class data ecosystem that powers insights, decision-making, and personalized user experiences. As a Sr. Analytics Engineer, you'll own the design, development, and maintenance of Sharpen's data pipelines and modeling layers. You'll work closely with data scientists, analysts, and product teams to ensure the availability and accuracy of data across the organization. This is a critical technical role that bridges data engineering and analytics, ensuring that our data infrastructure is scalable, reliable, and optimized for analytics and business intelligence.
This is a remote position open to applicants authorized to work for any employer within the United States.
What You'll Do:
- Design, build, and maintain scalable data pipelines that support analytics, reporting, and product insights.
- Develop and optimize the data modeling layer to ensure high performance, maintainability, and usability for analytics and BI tools.
- Collaborate with cross-functional teams, including product, engineering, and business teams, to define data requirements and deliver actionable insights.
- Implement best practices for data quality, governance, and security across the data infrastructure.
- Drive adoption of self-service analytics by building clear, user-friendly data models and documentation.
- Evaluate and integrate new data tools and technologies to continuously improve Sharpen's data stack.
- Monitor and troubleshoot data pipelines, ensuring timely resolution of issues to maintain reliability and uptime.
- Partner with stakeholders to develop KPIs, dashboards, and reporting frameworks that drive data-driven decision-making
What You Bring:
- Bachelor's degree in related field or equivalent experience preferred.
- Minimum of 5+ years of applicable experience.
- Strong experience with modern data stack tools (e.g., dbt, BigQuery).
- Strong proficiency in SQL and experience designing, optimizing, and maintaining complex data models.
- Experience with ETL/ELT tools and frameworks (e.g., Airflow, Fivetran, or similar).
- Experience with event-based analytics platforms (e.g., Segment).
- Solid understanding of data warehousing principles and architecture.
- Expertise with business intelligence and visualization tools such Tableau or Power BI.
- Experience with Python, R, or other scripting languages for data transformation and analysis.
- Knowledge of data governance, compliance, and security best practices.
- Ability to balance engineering rigor with a practical understanding of business and analytics needs.
- Strong communication and collaboration skills to work with technical and non-technical stakeholders.
Preferred Experience & Skills:
- Experience in an EdTech, startup, or consumer-facing environment.
- Experience with observability tools like New Relic, Datadog, or equivalent for performance monitoring.
- Strong knowledge of system performance optimization, caching strategies, and distributed systems.
Why work for us?
The work you do at McGraw Hill will be work that matters. We are collectively designing content that will build the future of education. Play your part and experience a sense of fulfilment that will inspire you to even greater heights.
The pay range for this position is between $124,000- $155,000 annually, however, base pay offered may vary depending on job-related knowledge, skills, experience, and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered. Click here to learn more about our benefit offerings.
McGraw Hill recruiters always use a "@mheducation.com" email address and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email.
49068
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.