Data Engineer

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 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 [email protected]

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

Referrals increase your chances of interviewing at DS Technologies Inc by 2x

Get 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 ago

Canada CA$70,000.00-CA$90,000.00 3 weeks ago

Senior Software Engineer - Data Platform We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr