Data Engineer

DS Technologies Inc; Canada; Remote; CAD 90,000 - 130,000; Full time

Job summary

A leading company specializing in IT services is looking for a Data Engineer to build scalable data infrastructure that supports AI/ML models and analytics. The ideal candidate will have a strong background in data engineering practices, ETL processes, and cloud technologies while being able to work US hours from Canada. This role offers an exciting opportunity to work in a collaborative environment with data scientists and product teams while ensuring data quality and compliance with privacy/security standards.

Qualifications

• 3–8 years of experience in data engineering or backend development.
• Expert in Python, Spark, and advanced SQL.
• Familiar with orchestration tools such as Airflow, dbt.

Responsibilities

• Design and maintain ETL/ELT workflows using Python and SQL.
• Build and optimize data lakes and warehouses.
• Partner with data scientists to create features.

Skills

Python

SQL

Spark

AWS

Data Modeling

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

AWS Glue

Redshift

Looker

Docker

Kafka

Job description

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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 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 Engineer

Location: Remote – Costa Rica, Canada, Colombia

Work Shifts : Must work in US time zones: EST/MST/CST/PST

Industry: Real Estate / PropTech / Data Engineering

Job Category: Information Technology – Data Engineering

Overview

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.

Position

Data Engineer

Responsibilities

• 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., SOC 2)
• Support performance tracking, incident analysis, and agile iteration cycles
  
  

Requirement Qualifications

• 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
• Strong communication and collaboration skills
  
  

Candidate Details

• Must be able to work US hours from LATAM or Canada
• Should bring strong cloud and data pipeline expertise
• Ideal candidate has worked with cross-functional teams and supported analytics/ML workloads
  
  

If you are interested, Kindly share your resume to [e-mail]

Thanks

DS Technologies - Team

DS 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 level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

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