Data Analytics Engineer

Costa Rica Remote

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Team Product Development Employment type Remote Date posted 04/17/2025

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Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle, Veeam protects over 550,000 customers worldwide who trust Veeam to keep their businesses running. Join us as we move forward together, growing, learning, and making a real impact for some of the world’s biggest brands. The future of data resilience is here - go fearlessly forward with us.

We are seeking an Analytics Engineer to join our internal and international Data Management team. As an Analytics Engineer, you will be part of the team transforming and delivering data for our Data Science, Analytics, and Reporting team use. You will be responsible for designing, implementing, and maintaining our data marts, pipelines, and data processes. This role requires a blend of strong technical skills, analytical thinking, and a understanding of business processes.

Your tasks will include:

Design, implement, and maintain scalable and reliable data marts and transformation processes
Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs and requirements
Develop and optimize data models and schemas to ensure data is stored efficiently and can be retrieved and analyzed quickly
Implement ETL processes and frameworks to transform raw data from multiple sources into structured formats suitable for analysis
Work closely with our internal Data, Architecture, and DevOps teams to ensure the reliability and scalability of data systems
Monitor and troubleshoot data pipelines, and look for opportunities for continuous improvement
Document data systems, data flow, and data processes

What we expect from you:

Bachelor's or Master’s degree in Computer Science, Information Systems, or a related field, or equivalent work experience
Strong proficiency in SQL and experience with database and data warehouse systems
Experience building and deploying data processes in a cloud environment (Azure, AWS, GCP)
Experience in at least one programming language (e.g., Python, Java, Scala)
Understanding of best practices in designing ETL/ELT processes, data modeling, and data warehousing
Good written and oral English (B2 or higher)

Preferred Qualifications:

Experience with Databricks and Spark
Experience with Azure cloud
Experience with Postgres or Vertica
Experience with Python or Kotlin
Experience with Salesforce data
Experience building datasets for analytics and reporting tools

What we offer:

Medical, dental, and vision through INS. Premium cost for employee and dependent coverage is fully funded by Veeam
Life insurance and disability coverage
Two weeks paid time off along with company paid holidays
Veeam Care Days – additional 24 hours for your volunteering activities
Cafeteria subsidy
Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (Percipio, Athena, O’Reilly) and mentoring through our MentorLab program

Please note: If the applicant is permanently located outside of Costa Rica Veeam reserves the right to decline the application for the position. Applications must be in English.

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#LI-REMOTE

Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.

The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.

By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.

By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.

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