Senior Data Engineer - Education - RVPR

Responsibilities

• Build, maintain, and optimize batch ETL/ELT pipelines in Databricks using Python and SQL.
• Support day-to-day production pipeline operations, including monitoring, troubleshooting failures, managing backfills, and performance tuning.
• Develop and maintain analytics-ready data models that support reporting, dashboards, and business insights.
• Partner with analytics, BI, product, and business stakeholders to align data definitions and deliver scalable data solutions.
• Integrate third-party data sources and APIs into the platform, ensuring clean ingestion, transformation, validation, and documentation.
• Implement and maintain data quality checks, validation logic, observability practices, and operational documentation.
• Support BI and reporting tools such as Tableau, Looker, or similar platforms by ensuring underlying data tables are performant, trusted, and well-modeled.
• Help optimize Databricks workloads for reliability, scalability, performance, and cost efficiency.
• Contribute to infrastructure-related work for data pipelines, including Terraform-managed resources and environment configuration.
• Work with platform and security teams on Databricks governance, identity and access management, Unity Catalog registration, ownership, and permissions.
• Participate in code reviews and contribute to engineering standards, CI/CD practices, and collaborative development workflows.
• Support data migration and platform improvement efforts that move datasets and pipelines into production-grade environments

Requirements

• Required:
• 5+ years of professional data engineering experience designing, building, and operating production data solutions.
• Hands-on experience with Databricks, Spark, and cloud-based data platforms, preferably AWS.
• Strong SQL skills and proficiency in Python or Scala for building reliable, performant data pipelines.
• Experience building and maintaining batch ETL/ELT pipelines in production environments.
• Strong understanding of data modeling for analytics, including fact/dimension-style schemas and semantic-layer support.
• Experience debugging, monitoring, backfilling, and tuning production data pipelines.
• Working knowledge of infrastructure-as-code, particularly Terraform, as it applies to data platforms.
• Familiarity with CI/CD, Git, GitHub, pull requests, code reviews, and collaborative engineering workflows.
• Experience with Databricks Unity Catalog, including table registration, ownership, grants, and permission management.
• Understanding of data governance, identity and access management, role-based access control, and service principals.
• Ability to communicate clearly with technical and non-technical stakeholders.
• Collaborative mindset and experience working across analytics, product, platform, and business teams.
• Preferred:
• Experience supporting BI and analytics platforms such as Tableau, Looker, or similar tools.
• Familiarity with Delta Lake and governed lakehouse environments.
• Exposure to dbt or other SQL-based transformation frameworks.
• Experience integrating third-party data sources and external APIs into data platforms.
• Experience with AWS services such as S3, EC2, Lambda, IAM, or related cloud infrastructure.
• Background working with consumer-facing, content-driven, education, media, or digital platform data.
• Experience supporting privacy-safe data sharing patterns, secure data exchange, or clean-room environments.

Benefits

Additional Information

This role requires a hybrid schedule and will be based in our Santurce, PR office (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week. Curious how RV Education (EDU) fits into Red Ventures? Click here. Red Ventures Education is looking for a Senior Data Engineer to help build, maintain, and strengthen the data platform that powers analytics, reporting, and decision-making across our education platforms. In this role, you'll own and improve production data pipelines, develop analytics-ready data models, and partner closely with analytics, product, platform, and security teams to deliver reliable, scalable, and well-governed data solutions. You'll work in a modern lakehouse environment built on Databricks, AWS, Python, SQL, and Terraform, with a focus on performance, data quality, governance, and long-term maintainability. This is a hands-on, full-time role based in our Puerto Rico office for a senior engineer who is comfortable taking ownership of critical pipelines, improving platform standards, and helping teams turn trusted data into measurable business impact.

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