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About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. DS Technologies Inc is looking for Data Engineer role for one of our premier clients.

Job Title: Data Engineer Location: Remote – Costa Rica, Canada, Colombia Work Shifts : Must work in US time zones: Industry: Real Estate / PropTech / Data Engineering Job Category: Information Technology – Data Engineering The Data Engineer will be responsible for building and optimizing scalable data infrastructure to support AI/ML models, analytics, and customer-facing products. The role demands expertise in cloud-native ETL/ELT workflows, real-time and batch processing, and data warehousing. This is a hands-on role interfacing with cross-functional teams including data scientists, product managers, and backend engineers.

Data Engineer

Design and maintain ETL/ELT workflows using Python, SQL, and orchestration tools (Airflow, Prefect, Dagster) Build and optimize data lakes and warehouses (Snowflake, Redshift, BigQuery) using lake-house principles Develop and manage real-time pipelines with tools like Kafka, Kinesis, or Pub/Sub Implement CI/CD for data pipelines with infrastructure-as-code (Terraform, CloudFormation) Partner with data scientists to create features and with engineers to expose data via APIs Ensure data quality through testing, monitoring,



and alerting Maintain compliance with data privacy/security standards (e.g., Support performance tracking, incident analysis, and agile iteration cycles 3–8 years of experience in data engineering or backend development ~ Expert in Python, Spark, and advanced SQL ~ Experience with AWS stack (Glue, Redshift, Athena, Kinesis, S3, EMR) ~ Familiar with orchestration tools and version-controlled ELT frameworks (dbt) ~ Proficient in data modeling and tools like Snowflake, DBT, and Looker ~ Exposure to Azure tools (Synapse, Data Factory, Azure SQL) ~ Comfortable with containerization (Docker/Kubernetes) and DevOps practices ~ Should bring strong cloud and data pipeline expertise Ideal candidate has worked with cross-functional teams and supported analytics/ML workloads All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic in accordance with applicable federal, state, and local laws. We actively seek to build a workforce that reflects the communities we serve and encourage applicants from all backgrounds to apply. Seniority level Mid-Senior level Employment type Contract Job function Information Technology Get notified about new Data Engineer jobs in Canada .

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