Job Description

At Sylvamo, we're a team on a mission. Joining us, you'll be helping to sustain forests and renew ecosystems, while delivering on the promise of paper to educate, communicate and entertain the world. Come grow with us! **Role:** Data Engineer - People Analytics **Location:** Global (Brazil or United States) **Reports To:** Global HR Data & Analytics Manager **Work Authorization:** Must be authorized to work in the U.S. or Brazil without visa sponsorship. Relocation assistance not available. **Position Summary** As a Data Engineer within the People Analytics team, you will design, build, and maintain scalable data pipelines and architectures integrating HRIS, IT, and operational systems. Your work enables strategic decision-making through high-quality, analytics-ready data solutions. You will collaborate across HR, IT, and manufacturing teams to ensure data integrity, compliance, and performance optimization. **Key Responsibilities** + **Data Engineering & Integration** + Develop and maintain ETL/ELT pipelines using SQL, Python, and MS Fabric. + Ingest and transform data from HRIS (Dayforce), SharePoint, global timekeeping systems, and industrial sources. + Automate workflows and ensure data quality, validation, and monitoring. + **Data Modeling & Architecture** + Design star schema and dimensional models for HR and operational analytics. + Implement scalable data lake and warehouse solutions. + Collaborate with Data Architects on governance, security, and accessibility. + **Cloud Platform Optimization** + Manage data lakes and warehouses in MS Fabric. + Optimize compute/storage performance and ensure GDPR and LGPD compliance. + **People Analytics Enablement** + Build dashboards and tools for HR metrics, workforce planning, and global reporting. + Support internal audits and data integrity initiatives. + Assist in developing People Analytics methodologies and benchmarking. + **Collaboration & Communication** + Partner with HR, IT, manufacturing, and analytics teams globally. + Translate technical concepts for nontechnical stakeholders. + Document processes, reusable components, and best practices. **Required Skills & Qualifications** + Bachelor's or Master's in Data Engineering, Computer Science, or related field. + 3+ years of experience in data engineering, including leadership on large-scale projects. + Proficiency in SQL, Python, and Spark. + Experience with MS Fabric or similar platforms (Databricks, Oracle, Dayforce). + Experience with Power BI. + Strong understanding of data privacy, compliance, and security protocols. **Preferred Experience** + Proficiency in Git/GitHub. + Experience with Snowflake, SAP HANA, or Oracle. + Familiarity with Azure Data Factory, Power Automate, and Power Platform. + HRIS systems (Dayforce, SAP). + Microsoft DP-700 Fabric Data Engineer certification. + Manufacturing systems and real-time data streaming. + People Analytics tools and dashboards. + Machine learning integration and feature engineering. + Global, cross-functional team experience. **Core Competencies** + Strategic Thinking & Business Acumen + Collaboration & Communication + Continuous Improvement & Innovation + Data Governance & Compliance + Agile & Inclusive Teamwork Sylvamo partners with you and your family on your health and wellness journey. We offer a premium suite of health and wellness programs for you and your family, including medical, dental, vision, disability, life insurance, and a generous 401(k) plan with matching company contributions, and more. Sylvamo is here for all stages of life. We also offer paid time off and paid holidays per year. The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law. Sylvamo is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. **Job Details** **Job Family** **Administration/Business Support** **Job Function** **Business Optimization** **Pay Type** **Salary**

Job Tags

Visa sponsorship, Relocation package,

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