Data Engineer

Harvard Business Publishing (HBP) – the leading destination for innovative management thinking. We reach lifelong learners to improve the practice of management in a changing world. This mission inspires each of us to unlock the leader in everyone – including you!

The opportunity:

The Data Engineer (DE) at Harvard Business Publishing (HBP) is responsible for designing, building, and maintaining data infrastructure and systems that enable efficient processing and analysis of large and complex datasets for use by HBP business stakeholders, data analysts, and for use in our end user-facing products. The ideal candidate will have a strong background in data modeling, as well as experience with data warehousing and ELT (Extract, Load, Transform) processes. As a member of the Data Engineering team within HBP’s Data & AI Unit, the DE is situated in a central service role with high cross-functional engagement and impacts across all divisions of HBP. As HBP pursues a strategy of enhancing its value to organizational leaders and business learners through new forms of engagement and interactive product experiences, the DE will play a critical role in interfacing with product engineers, data scientists, and AI developers at HBP to enable their work.

 
What You’ll Do:  

• Lead the full data engineering development life cycle including requirements analysis, technical specification, coding, deployment planning, and production support -- serving as both a hands‑on engineer and coordinator of vendor partners. 
• Design, build, and maintain scalable data pipelines that meet reliability, security, and performance standards. 
• Partner with analytics, data‑science, and business teams to ingest data and evolve data models that power BI dashboards, advanced analytics, AI/ML models, and SaaS applications. Deliver clear, timely technical artifacts including system overviews, data‑flow diagrams, stack diagrams, and runbooks to support decision‑making and future maintenance. 
• Balance supportability, flexibility, cost, and performance when evaluating design options and making architectural decisions. 
• Stay forward‑looking, ensuring all solutions align with HBP’s IT strategy and scalability goals. 
• Transition projects smoothly to operations, providing comprehensive documentation and knowledge transfer to support teams. 

What you'll bring: 

• Experience: Extensive experience in data engineering (or closely related field) delivering production‑grade pipelines and data platforms, at least 5 years.
• Data Pipelines: Proven ability to design, build, and operate high‑volume ELT/ETL pipelines that ingest, process, and transform data from diverse sources. 
• SQL Mastery:  Proven ability to write highly efficient, production‑grade Snowflake SQL that aligns to DBT SQL standards.  Experience with Snowflake SQL Analytics functions to support complex reporting and data science use cases. 
• dbt Expertise: Develop modular, well‑tested dbt models; implement tests and documentation; enforce coding standards via CI/CD. 
• Data Modeling & Warehousing: Extensive hands‑on experience designing schemas and maintaining data warehouses / marts on Snowflake (or similar cloud platforms). 
• Data Quality & Governance: Experience implementing frameworks that ensure accuracy, completeness, consistency, and lineage of critical datasets. 
• Collaboration: Excellent communication and stakeholder‑management skills; ability to translate business requirements into technical solutions. 
• Analytical Thinking: Demonstrated strength in evaluating trade‑offs (supportability, cost, performance, flexibility) and recommending optimal designs. 
• Operations & Support: Monitor pipelines, diagnose issues, and provide on‑call / production support with strong root‑cause analysis. 
• Programming: Proficiency in python programming.

 
Preferred/Nice to Have 

• Snowflake Snowpark Container Services: Practical experience developing, training, and deploying machine‑learning models inside Snowflake using Snowpark Container Services. 
• AWS Ecosystem: Hands‑on work with core services such as Amazon S3 for data‑lake integration, as well as IAM, Lambda, and related components for secure storage, orchestration, and automation. 
• ML Ops:  Experience with ML models requirements gathering development, deployment, and production support in Snowflake and AWS

What we offer:

As a mission-driven global company, Harvard Business Publishing is committed to fostering a culture of inclusion, trust, and engagement where everyone is welcome, valued, respected, and feels they belong. In addition to a competitive compensation and benefits package, we offer meaningful programs focused on career development and employee wellness, such as education reimbursement and early-release Summer Fridays!

HBP is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

$140,000 - $150,000

Above is the annualized pay range for this position. In addition, this position includes the opportunity to earn our annual Performance Based Variable Pay Program. Actual salary will be set based upon a range of factors, including external benchmark market data, individual knowledge, skills, experience, location and internal equity.