Goodway Group - Global Data Engineer

Remote - Latin America *1mo ago

Remote Senior LATAM Cloud Computing Artificial Intelligence Data Engineer Data Quality Scala SQL Python Snowflake

Requirements

• 5+ years of experience in data engineering or related fields • Strong experience building and maintaining scalable data pipelines (batch and/or streaming) • Proficiency in SQL and at least one programming language (Python, Scala, or similar) • Experience with modern data platforms (e.g., Snowflake, BigQuery, Redshift, Databricks) • Familiarity with orchestration tools (e.g., Airflow, Dagster) and data modeling practices • Experience with cloud platforms (AWS, GCP, or Azure) • System Design & Ownership • Ability to design and implement scalable data systems with clear tradeoffs • Experience improving system reliability, performance, and maintainability • Strong understanding of data architecture patterns and best practices • Product & Business Awareness • Ability to connect technical decisions to business impact • Experience working with stakeholders to define requirements and prioritize work • Collaboration & Influence • Clear communicator in code, documentation, and discussions • Proven ability to mentor others and contribute to team growth • Comfortable working cross-functionally in a remote environment • Growth Mindset • Actively seeks improvements in tools, processes, and team practices • Brings forward ideas that increase team efficiency and system quality • Check us out at www.goodwaygroup.com to learn more! • If you identify as a female candidate, and feel you can do this role even if there are a few things perhaps you've not done, please apply anyway! Goodway Group is 70% Female! We realize that men tend to apply for jobs when they can meet around 60% of the requirements for the role, where women tend to only apply when they know they meet 100% of the requirements. • If you identify as a female candidate, and feel you can do this role even if there are a few things perhaps you've not done, please apply anyway! Goodway Group is 70% Female!

Responsibilities

• Own delivery of production-grade data systems. Design, build, and maintain resilient data pipelines and platforms that support analytics, machine learning, and business operations. Your work is reliable under scale and built with long-term maintainability in mind. • Own delivery of production-grade data systems. • Drive system design for data architecture. Own the design of data models, pipelines, and storage solutions for team-level systems. You create scalable, flexible foundations that reduce complexity and improve onboarding for others. • Drive system design for data architecture. • Ensure high standards for code quality and reliability. Write well-tested, maintainable code and enforce best practices across data workflows. You proactively prevent issues such as data quality failures, pipeline fragility, and technical debt. • Ensure high standards for code quality and reliability. • Translate business needs into technical solutions. Connect data engineering decisions to business outcomes. You understand how data is used across the organization and ensure systems support accurate, timely, and actionable insights. • Translate business needs into technical solutions. • Collaborate across engineering, product, and data teams. Work closely with stakeholders to define requirements, prioritize work, and deliver solutions that align with business goals. You actively participate in design discussions and influence implementation decisions. • Collaborate across engineering, product, and data teams. • Mentor and unblock other engineers. Support team growth through code reviews, documentation, and technical guidance. You help others improve their approach to data engineering and keep projects moving forward. • Mentor and unblock other engineers. • Identify and mitigate risks early. Anticipate edge cases, scalability challenges, and data integrity risks. You surface issues early and help the team make informed tradeoffs. • Identify and mitigate risks early • Improve systems, tools, and processes. Introduce improvements to pipelines, testing, observability, and deployment practices. Your contributions lead to faster delivery, fewer incidents, and stronger overall system performance. • Improve systems, tools, and processes.