Overview

Sr Data Engineer

Location: Sao Paulo, Brazil Work Arrangement: On Site / Hybrid 

About the Role

Hyland is looking for an experienced and forward-thinking Sr Data Engineer to join our team. In this role, you will lead the design and delivery of scalable data pipelines, develop end-to-end analytical solutions, and serve as a trusted advisor and thought leader within the data engineering practice. You'll work with large, complex datasets, apply machine learning expertise, and mentor fellow engineers — all while driving innovation and best practices across the team. If you're passionate about data, cloud technologies, and elevating the people around you, we'd love to connect.

Your Role Responsibilities? Here's What You'll Do.

• Design, build, and maintain scalable data pipelines to clean and transform data, ensuring it is ready for analysis and operational deployment from end to end.
• Work with large datasets from diverse sources to enable valuable business insights and analytics, supporting data-driven decision making across the organization.
• Evaluate team models and suggest enhancements as needed; promote best practices for modeling and develop scalable operational solutions aligned to business needs.
• Ensure data storage and processing meet security standards and comply with relevant regulations; create and maintain thorough documentation for data pipelines, architectures, and processes.
• Operate as a trusted advisor on issues and trends, providing consulting services that leverage deep expertise and best practice knowledge to guide strategic direction.
• Operate as an innovative thought leader and mentor; contribute to the overall growth of the department through knowledge sharing, coaching, and providing feedback to team members and leadership on team capabilities.

Technology Tools

• SQL & Python
• Data & ML Pipeline Orchestration Tools (e.g., Metaflow, MLFlow, AWS Glue)
• Data Processing Frameworks (e.g., Spark, Flink, TensorFlow, PyTorch)
• Cloud & Infrastructure Tools (e.g., AWS, Terraform, Docker)
• Monitoring & Observability Tools (e.g., Datadog, Grafana, Prometheus)
• CI/CD Tools

Role Essentials

• Bachelor's degree or equivalent experience (5+years) with proven expertise in data engineering, including data warehouses and ETL processes.
• Proficiency in SQL, Python, and at least one data processing framework (e.g., Spark, Flink, TensorFlow, PyTorch); experience in Data and ML Pipeline orchestration (e.g., Metaflow, MLFlow, AWS Glue).
• Hands-on experience with AWS Data platforms including Terraform and Docker; ability to package and deploy code to production cloud environments.
• Knowledge of machine learning concepts with experience applying them in real-world use cases, including the application of generative AI for business purposes.
• Experience with monitoring and observability tools (e.g., Datadog, Grafana, Prometheus); knowledge of CI/CD tools; up to 5% travel time required.

What We'd Like to See

• Excellent collaboration and communication skills applied successfully within teams and across all levels of the organization.
• Self-motivated with excellent critical thinking and problem-solving skills; able to manage projects to completion independently in a fast-paced, deadline-driven environment.
• Demonstrated ability to influence, motivate, and mobilize team members and business partners toward shared goals.
• Ability to coach, mentor, and provide timely feedback and guidance to developing team members; ability to provide meaningful feedback to leadership on team capabilities and growth.
• Excellent original thinking with the ability to translate goals into the implementation of new ideas and design innovative, scalable data solutions.

Pay Transparency

Based on employment laws, the following details are provided to comply with relevant salary posting requirements: D.O.E.  base salary range of BRL R$214,061.00/Yr – BRL R$260,871.00/Yr, 

(=  $42K – $51K USD annually)

this position is eligible for benefits and variable compensation.

 

About Hyland

Hyland is the pioneer of the Content Innovation Cloud™, delivering ubiquitous enterprise intelligence to organizations with solutions that unlock actionable insights and drive automation. © Hyland. All rights reserved.

Trusted by thousands of organizations worldwide, including many of the Fortune 100, Hyland's solutions create the foundation for a connected, agentic enterprise, where teams harness the power of AI to redefine how they operate and engage with those they serve. For additional information on Hyland's platform and services, please visit Hyland.com.

#HylandLife

Since 1991, it has been Hyland's mission to help our employees, customers and partners exceed their potential with our industry-leading content services platform. Our employees exude a contagious energy and are passionate about what they do – whether it's helping customers succeed, raising up their fellow Hylanders, or engaging in the communities where they live and work.

The #HylandLife hashtag encompasses our employee-centric culture. Our employees live our culture day in and day out by bringing their best self to work. Hyland supports them to do just that through career development resources, wellbeing programs and innovation practices. We thrive on diverse viewpoints and new ideas and believe that a positive, inclusive workplace is imperative to sustainable success.

As we've grown to a company of nearly 4,000 strong, we have the opportunity to make a significant impact on our communities. We strongly support employee initiatives and align our giving campaigns and programs to organizations that are important to them.

Equal Opportunity Statement

Hyland is an equal opportunity employer. We value diversity and are committed to providing an inclusive workplace for all employees and applicants. Employment decisions are made without regard to any characteristic protected by applicable laws and regulations. Information collected during the hiring process is used solely to assess qualifications, verify identity, and comply with legal requirements.