Data Engineer

About us

For well over a century, ExxonMobil has been at the heart of creating and growing a modern world. We embrace the power and promise of technology, pushing the boundaries of what's possible. For billions around the world, lives are better and last longer because of the innovative problem solving and reliable energy we provide. And when it comes to developing industrial solutions to reduce carbon emissions, ExxonMobil is truly the leader.


We don't stop at "good enough." We are committed to doing what's right, even if it's difficult or unpopular. We hold ourselves to high standards, challenge what's possible and invest in innovation to meet society's critical needs.


Real change begins with bold questions, drive, and ambition. Here, your talent, determination and contributions shape how far you'll go and the impact you'll make along the way.


Our future success depends on exceptional people. We invest in developing talent through meaningful work, challenging assignments, mentorship, and experiences that help build the next generation of leaders.

Our Culture


We are uniquely ExxonMobil. Integrity, care, excellence, resilience and courage, these core values determine how we work every day. At ExxonMobil, our values aren't just words- they're how we show up, focused on delivering the right answer, the right way, every day.

More about us

Come be part of the EMIT Department of ExxonMobil Business Support Center Brasil Ltda. at our Global Business Center (GBC) in Curitiba, with more than 21 years of presence in the country and a workforce of ~1800 employees, that provides support to an extensive portfolio of businesses across the globe. Our offices are located in Brazil, USA, Europe and Asia.

What role you will play in our team

The Data Engineer is responsible for transforming data into actionable insights that support business decision-making and operational excellence. This role partners with business stakeholders, product teams, and data engineers to analyze complex datasets, develop reporting solutions, and ensure the availability of high-quality data across the organization.


The ideal candidate combines strong analytical skills with hands-on experience in modern data platforms, including SQL Server, Snowflake, and Databricks. They are comfortable working with large datasets, building data models, and driving continuous improvements in data quality, governance, and reporting processes.

What you will do

• Analyze large and complex datasets to identify trends, opportunities, risks, and business insights.
• Design, develop, and maintain datasets, reports, dashboards, and data visualizations.
• Write, optimize, and maintain SQL queries, stored procedures, and data transformation logic.
• Collaborate with Product Owner, and stakeholders to gather analytical requirements and translate them into data solutions.
• Develop and maintain data models supporting reporting, analytics, and business intelligence initiatives.
• Perform data validation, reconciliation, and quality assurance activities.
• Support enterprise reporting and self-service analytics capabilities.
• Work closely with Solution and Data Architects to improve data pipelines and data accessibility.
• Create and maintain business and technical documentation for data assets and reporting solutions.
• Participate in data governance initiatives, ensuring data consistency and standardization across platforms.
• Utilize GitHub for source control, version management, and collaborative development practices.
• Support ad hoc analysis and provide recommendations to drive business decisions.

About you

Skills and Qualifications:

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, Statistics, Mathematics, Business Analytics, or related field.
• Advanced English communication skills, both written and verbal.
• Experience in Data Analytics, Business Intelligence, Reporting, or related areas.
• Advanced SQL development experience.
• Strong proficiency with Microsoft SQL Server.
• Experience with Snowflake data warehousing.
• Experience with Databricks and modern cloud-based analytics ecosystems.
• Data modeling and relational database design.
• Strong understanding of ETL/ELT concepts and data lifecycle management.
• Experience working with enterprise-scale datasets and analytical environments.

Preferred Qualifications/Experience:

• Knowledge of Azure Data Platform services.
• Experience with Delta Lake and Lakehouse architecture.
• Familiarity with Data Engineering concepts and pipeline orchestration.
• Basic Python or PySpark development skills.
• Exposure to CI/CD processes and DevOps practices for data solutions.
• Proficiency with GitHub for source control and collaborative development.

Your Benefits

An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.


We offer you:

• PAE - Programa de Assistência aos Empregados
• Seguro de Vida
• Creche e babá
• Tickets alimentação
• Assistência funeral
• Auxilio Filho Excepcional
• Plano de pensões
• Among others.

Please note benefits may be changed from time to time without notice, subject to applicable law.

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EEO Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

Alternate Location:

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

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