Global Data Engineer
Goodway Group
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Who We Are Goodway Group is one of AdAge's 2026's BEST PLACES TO WORK! As an independent and remote-first media and marketing services firm with a 90+ year history, Goodway Group has the security of an established company combined with a start-up feel. With leading data-driven and technology-enabled digital media and marketing services firm with teams in the U.S. and the UK, our diverse team of digital strategists, media practitioners, technologists and data scientists have won the most prestigious awards for innovative marketing technology, impactful work and inclusive remote-first places to work including being honored as a multiyear winner in Ad Age Best Places to Work, Ad Exchanger's Best Use of Technology by an Agency Award and two MarTech Breakthrough Awards and a certified service partner to The Trade Desk. Please Note: We are targeting individuals that live in Brazil, Colombia, and Mexico for this role. We are not currently accepting candidates from the United States. Goodway Group is seeking an experienced Senior Data Engineer to help design, build, and optimize the data infrastructure powering our analytics, technology platforms, and marketing solutions. In this role, you'll take ownership of complex data engineering initiatives, from designing scalable data architectures and developing reliable ETL/ELT pipelines to optimizing warehouse performance, data quality, and cloud infrastructure costs. You'll work closely with Product, Engineering, Analytics, and Data Science teams to ensure our data systems are scalable, efficient, and reliable. We're looking for someone who enjoys solving complex technical challenges, takes initiative, and can independently evaluate architectural decisions while remaining hands-on with development. Our primary technology stack includes Snowflake, Apache Airflow, Python, and AWS. Experience with large-scale datasets, data modeling, and performance optimization will be essential to success in this role. What You Will Do Data Architecture & Engineering Design, develop, and maintain scalable data architectures, warehouses, and ETL/ELT pipelines supporting analytics, reporting, and technology products. Build and optimize data pipelines using Python, Apache Airflow, Snowflake, and AWS. Develop and maintain data models, schemas, and taxonomies to ensure consistency, accessibility, and usability across data systems. Evaluate architectural approaches, identify technical tradeoffs, and recommend solutions that support scalability and long-term maintainability. Integrate structured and unstructured data from APIs, databases, advertising platforms, and other internal and external sources. Support the development and evolution of data infrastructure used by analytics, machine learning, and AI applications. Performance, Optimization & Reliability Optimize Snowflake warehouse performance, query execution, storage, and compute utilization to improve processing speed and manage costs. Identify bottlenecks across data pipelines and cloud infrastructure, implementing improvements that increase efficiency and reliability. Develop automated testing, data validation, and monitoring processes to maintain data accuracy and integrity. Troubleshoot production issues, investigate data discrepancies, and implement solutions that prevent recurring failures. Establish and maintain best practices for data quality, observability, documentation, and pipeline reliability. Evaluate new tools, technologies, and approaches that improve engineering efficiency and platform performance. Collaboration & Technical Ownership Partner with Product, Engineering, Analytics, and Data Science teams to translate business requirements into scalable technical solutions. Take ownership of engineering initiatives from initial design through implementation, testing, deployment, and ongoing optimization. Collaborate with stakeholders to understand how data is used across the organization and ensure solutions support downstream business needs.…
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