Future Opportunities – Senior Data Engineers (Remote from Canada & Latin America)

Remote Full-time
We're continuously looking for talented individuals based in Canada or Latin America to join our growing, fully remote team. At Infostrux, our team members have the flexibility to live and work anywhere in Canada or be direct contractors based in Latin America, including Argentina, Brazil, Chile, Costa Rica, El Salvador, Paraguay, Uruguay, and beyond; wherever suits you best. If you’re passionate about data and innovation and interested in future opportunities with us, we encourage you to express your interest, even if we don’t have an open position at this time. We’re always eager to connect with forward-thinking senior data engineers who share our mission and values. 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 like finance, health, gaming, and retail, we design and deliver scalable data solutions that enable faster, smarter, data-driven decisions. And as proud recipients of the Great Place to Work® Certification (2025), we are equally committed to fostering a culture of trust, collaboration, and growth for our people. Job Summary: Are you ready to break boundaries in the data world and work with innovative clients? 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 and Airflow, or Terraform. You will be a member of an Agile data engineering Pod consisting of open-minded and highly skilled individuals, that designs and continuously delivers a wide range of data analytics services for both clients and business partners. You are looking to change the world and advance Data Engineering in a data-driven world through automated data solutions in the Snowflake Data Cloud and other public clouds. We do that through dedicated time to our internal practice. We are currently looking for full-time contractors in Latin America for long-term engagements. 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 keep the growth of 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 formal (traditional, 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 What’s in it for you? We’re so glad you asked! You will be surrounded by some of the brightest and most accomplished technical minds in our field. We are a team of very diverse and passionate professionals who love working together and solving problems by leveraging technology to help our customers. We pride ourselves in our outstanding work culture that is grounded in our 8 core values: trust, excellence, integrity, humility, accountability, responsibility, kindness, and fun. We value our people above all, and we provide competitive compensation and benefits to show our team our appreciation for everything they do: • We are a 100% remote organization, so our team can work and live anywhere in Canada and Latin America (Argentina, Brazil, Chile, Costa Rica, El Salvador, Paraguay, Uruguay, and others) that best suits them, as well as work from abroad (anywhere they are entitled to work) for up to 3 months per year. • We are strong believers of work-life integration and we offer a flexible schedule so that our team can manage their own workload and still be there for family and loved ones. • We strongly believe in professional growth, so we are continuously educating ourselves with regular lunch & learns and industry events, and we invest in professional development and industry-based certifications for everyone in our team. • We constantly encourage everyone to step outside of their comfort zone and try new things, so we dedicate time each month to work on non-client work and collaborate on new innovative ideas, and we reward people who experiment and take risks. • We enjoy getting together and we promote co-working days and social events in our main locations on a regular basis. 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 the country where this role will be performed in order 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. We look forward to getting to know you! infostrux.com/careers | Join Infostrux, where we design scalable, cloud-based data solutions that enable faster, smarter, data-driven decisions. Apply tot his job
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