Data Analytics Engineer

Confirmed live in the last 24 hours

Veeam Software

San Jose, Costa Rica

Remote

Posted April 3, 2026

Job Description

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

About the Role

We are looking for an Analytics Engineer to join our internal Data Management team and help power data-driven decision-making across the organization. In this role, you will design and maintain scalable data models, pipelines, and transformation processes that enable analytics, reporting, and data science initiatives. You will collaborate closely with analysts, data scientists, and engineering teams to ensure reliable, efficient, and well-structured data that supports business insights and strategic initiatives.

What You’ll Do

Design scalable and reliable data marts and transformation processes that support analytics and reporting needs
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into efficient data solutions
Develop optimized data models and schemas that enable efficient storage, retrieval, and analysis of large datasets
Build ETL and ELT pipelines that transform raw data from multiple sources into structured datasets for analytics and reporting
Partner with data, architecture, and DevOps teams to ensure the scalability, performance, and reliability of data systems
Monitor data pipelines and systems to troubleshoot issues and identify opportunities for improvement
Document data architectures, data flows, and processes to support transparency, collaboration, and maintainability

Technologies You’ll Work With

SQL and relational databases
Cloud platforms such as Azure, AWS, or GCP
Programming languages such as Python, Java, or Scala
Databricks and Spark
Data warehouse technologies such as Postgres or Vertica
ETL/ELT frameworks and data transformation tools

What You’ll Bring

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
Strong proficiency in SQL and experience working with databases and data warehouse systems
Experience building data pipelines and data processes in a cloud environment such as Azure, AWS, or GCP
Experience with at least one programming language such as Python, Java, or Scala
Knowledge of ETL/ELT processes, data modeling, and data warehousing best practices
Ability to collaborate with cross-functional teams including analysts,