Data Analytics Engineer

This is a fully remote position, open to applicants in Costa Rica.

📋 Description

• Report directly to the Director of Data Analytics.

• Assist in the technical design, development, and enhancement of Veeam’s Corporate Metrics data products, including Annual Recurring Revenue (ARR).

• Execute the technical roadmap for corporate metrics data assets.

• Develop and maintain data pipelines, models, and storage solutions for the Corporate Metrics data mart.

• Establish a semantic layer that allows business users to access corporate metrics through AI tools using natural language.

• Design and sustain dimensional data models, including star and snowflake schemas, conformed dimensions, fact tables, and slowly changing dimensions.

• Create and implement scalable Databricks jobs that support sources of truth for corporate metrics reporting and analytics.

• Collaborate with Data Quality and Governance teams on data lineage, segmentation, and sources of truth.

• Partner with Central Data Engineering, Revenue Intelligence, and Corporate Technology teams on metric definitions, requirements, and reporting needs.

• Convert business requirements into technical specifications and act as the technical point of contact for corporate metrics data assets.

• Identify areas for enhancing data processes, automation, and reporting capabilities.

• Manage application changes through source control, code review, and testing in line with SOX and other compliance requirements.

• Oversee the lifecycle of corporate metrics sources of truth in Databricks, including design, development, release, support, and troubleshooting.

• Proactively resolve data issues, risks, and gaps.

• Use AI-assisted development responsibly by reviewing and testing generated code.

• Ensure that data assets and change processes adhere to security standards and regulations such as SOX and GDPR.

⛳️ Requirements

• A bachelor's or master's degree in Business Analytics, Computer Science, Engineering, or a related quantitative field.

• Over 3 years of experience in data analytics or analytics engineering, with substantial involvement in corporate reporting data projects.

• Strong SQL proficiency (both DDL and DML).

• Practical experience in designing and constructing dimensional data models, including Kimball methodology, star schemas, fact and dimension tables, and slowly changing dimensions.

• Expertise with modern data engineering tools and platforms, such as Python, SQL, and Databricks.

• Experience in building semantic layers or metric stores and exposing data to AI or natural-language tools.

• Familiarity with DevOps processes and tools like GitHub or Azure DevOps.

• Understanding of ARR and other SaaS and corporate metrics.

• Strong analytical capabilities and experience with AI-driven solutions.

• Excellent communication and stakeholder management skills.

• Experience addressing external reporting requirements for a public company.

• Familiarity with Claude Code, ChatGPT, or other AI/ML-driven development tools.

• Experience with Salesforce and data warehouse migrations or integrations.

• Knowledge of automated data quality testing frameworks.

• This position is based in San Jose, Costa Rica; applicants who are permanently located outside Costa Rica may be declined.

• All applications must be submitted in English.

🏝️ Benefits

• Unlimited paid time off, plus 3 global VeeaMe Days dedicated to self-care.

• Paid parental leave: 8 weeks for all parents, and 16 weeks for birthing parents.

• Medical, dental, and vision coverage from day one.

• Mental health support, therapy sessions, and digital wellness tools available through SupportLinc EAP.

• 401(k) retirement plan with matching contributions up to annual limits.

• Support for fertility, adoption, and surrogacy through Maven, along with paid volunteer time.

• AirVet: 24/7 virtual veterinary care at no cost.

• Legal services, identity protection, and supplemental health insurance options.

• Tax-advantaged spending accounts for healthcare, dependent care, and commuting.

• Professional training and education opportunities, including courses and workshops, internal meetups, unlimited access to LinkedIn Learning, Athena, and O’Reilly, along with mentoring through MentorLab.