Data Engineer

Randstad Digital; Vancouver; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading company in Vancouver is seeking a Data Engineer to contribute to building a web-based ML service that delivers research insights. The ideal candidate will possess strong data engineering skills and experience with cloud platforms such as GCP and AWS. This role promises significant responsibility in data architecture and collaboration with data scientists.

Qualifications

• 2+ years in data engineering (product-focused)
• Strong SQL (MySQL/PostgreSQL)
• Experience with GCP (BigQuery), AWS (S3, Athena, Lambda), or NoSQL/Data warehouse

Responsibilities

• Own data architecture, ingestion, modeling, governance
• Build efficient data pipelines and scalable solutions
• Champion data best practices

Skills

Data engineering

SQL

Data modeling

API design

GCP

AWS

NoSQL

Python

Scala

Java

Bash

Agile

Communication

Education

BS / MS in CS or related field

Tools

Airflow

Spark

Kafka

Hive

Superset

GitHub Actions

Job description

• Downtown Vancouver, BC, 3 days in the office
• 6 months+, high possibility of extension, long term role
• 40 hours / week

Job Title : Data Engineer

Join us in building a web-based ML service delivering research insights from publications. We’re looking for a Data Engineer (intermediate level welcome) with experience in GCP.

Must-Have Skills :

• 2+ years in data engineering (product-focused)
• Strong SQL (MySQL / PostgreSQL), data modeling, and API design skills
• GCP (BigQuery), AWS (S3, Athena, Lambda), or NoSQL / Data warehouse experience
• Tools : Airflow, Spark, Kafka, Hive, Superset, GitHub Actions
• Python / Scala / Java and Bash proficiency
• BS / MS in CS or related field

• 2+ years in data engineering (product-focused)
• Experience designing / developing scalable data platforms
• Strong SQL (MySQL / PostgreSQL), data modeling, and API design skills
• GCP (BigQuery), AWS (S3, Athena, Lambda), or NoSQL / Data warehouse experience
• Tools : Airflow, Spark, Kafka, Hive, Superset, GitHub Actions
• Python / Scala / Java and Bash proficiency
• Agile / Scrum familiarity
• BS / MS in CS or related field
• Excellent communication skills
Bonus :
• DevOps

Responsibilities :

• Own data architecture, ingestion, modeling, governance
• Build efficient data pipelines and scalable solutions
• Champion data best practices
• Collaborate with data scientists and stakeholders
• Document systems and workflows