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Job Title


Data Engineer


Company : DS Technologies Inc https://static.whatjobs.com/st


Location : Mississauga, peel region


Created : 2026-05-05


Job Type : Full Time


Job Description

Get AI-powered advice on this job and more exclusive features.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 strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.DS Technologies Inc is looking for Data Engineer role for one of our premier clients.Job Title: Data EngineerLocation: Remote Costa Rica, Canada, ColombiaWork Shifts : Must work in US time zones: EST/MST/CST/PSTIndustry: Real Estate / PropTech / Data EngineeringJob Category: Information Technology Data EngineeringOverviewThe 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.PositionData EngineerResponsibilitiesDesign 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 principlesDevelop and manage real-time pipelines with tools like Kafka, Kinesis, or Pub/SubImplement 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 APIsEnsure data quality through testing, monitoring, and alertingMaintain compliance with data privacy/security standards (e.g., SOC 2)Support performance tracking, incident analysis, and agile iteration cyclesRequirement Qualifications38 years of experience in data engineering or backend developmentExpert in Python, Spark, and advanced SQLExperience 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 LookerExposure to Azure tools (Synapse, Data Factory, Azure SQL)Comfortable with containerization (Docker/Kubernetes) and DevOps practicesStrong communication and collaboration skillsCandidate DetailsMust be able to work US hours from LATAM or CanadaShould bring strong cloud and data pipeline expertiseIdeal candidate has worked with cross-functional teams and supported analytics/ML workloadsIf you are interested, Kindly share your resume to Technologies - TeamDS Technologies Inc. is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive environment for all employees and applicants for employment and prohibit discrimination and harassment of any kind. 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 levelSeniority levelMid-Senior levelEmployment typeEmployment typeContractJob functionJob functionInformation TechnologyReferrals increase your chances of interviewing at DS Technologies Inc by 2xGet notified about new Data Engineer jobs in Canada.Full-Stack Software Engineer (New graduates: Canada)Canada CA$80,000.00-CA$120,000.00 3 days agoCanada CA$70,000.00-CA$90,000.00 3 weeks agoSenior Software Engineer - Data PlatformWere unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr