Senior Data Engineer

Overview Senior Data Engineer 📍 Brazil | 🌐 Remote About the Role As a Senior Data Engineer at Hyland, you'll be at the heart of building the data foundation that powers enterprise-wide intelligence. You'll design and maintain scalable data pipelines, develop end-to-end analytical solutions, and work with large, diverse datasets to unlock meaningful insights. This is a high-impact individual contributor role for someone who brings deep technical expertise, thrives in a fast-paced environment, and is passionate about elevating the craft of data engineering across the team. Your Tools SQL & Python Apache Spark / Flink TensorFlow / PyTorch Metaflow / MLFlow / AWS Glue AWS Data Platform Terraform & Docker Datadog / Grafana / Prometheus CI/CD Tools Your Role Responsibilities – Here's What You'll Do Design, build, and maintain scalable data pipelines to clean, transform, and prepare data for analysis and operational deployment across the enterprise. Develop end-to-end solutions from data extraction through to operational deployment, working with large datasets from diverse sources to enable valuable insights and analytics. Evaluate and enhance data and ML models; promote best practices for modeling and ensure scalable operational needs are met consistently across the team. Ensure data storage and processing meet security standards and comply with relevant regulations; create and maintain thorough documentation for pipelines, architectures, and processes. Operate as a trusted advisor and thought leader on data engineering trends and best practices; contribute significantly to the overall growth and quality of the department through knowledge sharing and coaching. Mentor, coach, and provide timely feedback to team members; share insights with leadership on team capabilities and actively support the growth of developing data engineering professionals. Role Essentials You'll need these skills to hit the ground running: Proven experience in data engineering, including working with data warehouses, ETL processes, and large-scale datasets from diverse sources. Proficiency in SQL and Python, along with hands-on experience with at least one data processing framework such as Spark, Flink, TensorFlow, or PyTorch. Experience with Data and ML pipeline orchestration tools (e.g., Metaflow, MLFlow, AWS Glue) and the ability to package and deploy code to production environments in the cloud. Hands-on experience with AWS data platforms, including Terraform and Docker, with knowledge of CI/CD tools and experience applying generative AI for business purposes. Excellent critical thinking, problem-solving, and collaboration skills with the ability to work independently, manage projects to completion, and thrive in a fast-paced, deadline-driven environment. What We'd Like to See These will help you stand out: Experience with monitoring and observability tools such as Datadog, Grafana, or Prometheus. Knowledge of machine learning concepts with proven real-world application experience, including hands-on familiarity with frameworks such as TensorFlow or PyTorch. Demonstrated ability to influence, motivate, and mobilize team members and business partners across all levels of the organization. Strong attention to detail with the ability to use original thinking to translate business goals into innovative, practical design solutions. Experience mentoring and coaching team members and providing meaningful guidance to developing data engineering professionals. 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.