We are currently looking for full-time contractors in Argentina, Brazil, Chile, Costa Rica, El Salvador, Paraguay, Uruguay, Venezuela, for long-term engagements. About Infostrux: Infostrux is one of North America’s fastest-growing data-focused consultancies. Within 18 months of our founding in 2021, Snowflake recognized us at the highest partnership tier—a reflection of our deep expertise and impact. We help organizations unlock the value of their data by building modern, cloud-native platforms that power analytics, AI, and machine learning. Our work spans the modern data stack—covering data engineering, architecture, integration, and modelling—with Snowflake as one of our core partners. From startups to Fortune 500s across industries such as finance, health, gaming, and retail, we design and deliver scalable data solutions that enable faster, smarter, data-driven decisions. As proud recipients of the Great Place to Work® Certification (2026‑2027), we are equally committed to fostering a culture of trust, collaboration, and growth for our people. Job Summary: As a Senior Data Engineer , you are ready to drive thought leadership and astound the world of data through your skills. You love to continuously research and learn new technologies like Snowflake, DBT, Airbyte, Airflow, and Terraform. You will be a member of an Agile data engineering Pod consisting of open-minded, highly skilled individuals who design and continuously deliver a wide range of data analytics services for both clients and business partners. What You’ll Get To Do: Act as a trusted advisor to customers to solve complex problems within their data warehouse. Analyze clients' existing cloud-based and on-premises database environments and their data providers to optimize for secure data extraction. Design, present, and deliver best‑practice data warehouse solutions, data pipelines, and transformations in Snowflake. Design and implement data‑sharing solutions for single‑tenant and multi‑tenant cloud database systems. Mentor and support Data Engineers to help grow their technical capabilities. Evaluate new and existing technologies to improve data engineering capabilities and our customer solutions. What You’ll Bring: Passion for data and engineering excellence. Experience building solutions based on both formal (traditional and modern) and less formal data architectures, methodologies, designs, and processes. Senior hands‑on experience building data solutions using a variety of traditional and big‑data technologies. Intermediate hands‑on experience building data solutions in AWS, Azure, and/or GCP. Software engineering experience. What We Work With: Modern Data Workflows (DBT, Airflow, Prefect, Dagster) Programming Languages (Python, JavaScript, Kotlin, or Java) Big Data Platforms (Apache Spark, Presto, Amazon EMR) Cloud Data Warehouses (Snowflake Data Cloud, Google BigQuery, Databricks Lakehouse, Azure Synapse) Databases (SQL Server, PostgreSQL, MySQL, Oracle, Vertica) Container Management Systems (Kubernetes) Visual Analytics (Tableau, Looker, PowerBI) Artificial Intelligence / Machine Learning (Amazon SageMaker, Azure ML Studio) Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka) English and/or French. Benefits: 100% remote organization: work and live anywhere in Latin America (Argentina, Brazil, Chile, Costa Rica, El Salvador, Paraguay, Uruguay, Venezuela, and others) and work from abroad (anywhere you are entitled to work) for up to 3 months per year. Flexible schedule to support work‑life integration. Continuous professional growth with regular lunch & learns, industry events, and investment in professional development and certifications. Monthly innovation time to work on non‑client projects and collaborate on new ideas, with rewards for experimentation and risk‑taking. Social events, co‑working days, and regular team gatherings. Competitive compensation based on seniority, skill level, location, and engagement type. Equal‑Opportunity Employer Statement: We are committed to creating a diverse environment and are proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age. Please note that you must be legally eligible to work in Canada to be considered for employment, and if selected, you must complete a criminal and credit background check to be hired. Compensation for this role depends on various factors, including seniority, skill level, and location. Compensation structures may also differ based on the type of engagement—contract rates vary from full‑time employee salary ranges. Specific details will be discussed during the hiring process. #J-18808-Ljbffr