Sr Software Engineer - Analytics

McGraw Hill; New York (NY); Remote; USD 124,000 - 150,000; Full time

Job summary

An innovative company is seeking a Sr. Software Engineer - Analytics to join their dynamic team. This remote position involves designing and maintaining data pipelines that drive insights and decision-making. You'll collaborate with cross-functional teams to ensure data accuracy and availability, while implementing best practices for data governance. With a focus on education technology, you'll have the opportunity to make a significant impact in a thriving environment. If you're passionate about data and want to contribute to transforming education, this role is perfect for you.

Benefits

Annual Bonus Plan

Full Range of Medical Benefits

Flexible Work Environment

Professional Development Opportunities

Qualifications

• 5+ years of experience in data engineering and analytics.
• Strong proficiency in SQL and data modeling.
• Experience with ETL tools and data governance best practices.

Responsibilities

• Design and maintain scalable data pipelines for analytics and reporting.
• Collaborate with teams to define data requirements and insights.
• Implement data quality and governance best practices.

Skills

SQL

Data Modeling

ETL/ELT Tools

Data Governance

Python

Data Warehousing

Business Intelligence

Collaboration Skills

Education

Bachelor's Degree in Related Field

Tools

dbt

BigQuery

Airflow

Fivetran

Tableau

Power BI

New Relic

Datadog

Job description

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:

• 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- $150,000 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

McGraw Hill uses an automated employment decision tool (AEDT) to assist in the screening process by recommending candidates with "like skills" based on resume and job data. To request an alternative screening process, please select "Opt-Out" when asked to "Consent to use of Automated Employment Decision Tools" during the application.