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Data Engineer

1 week, 3 days ago
Canada
Full-time
Mid Level
Data Engineer
Software Development
Agile Apache Spark AWS CI/CD Datadog GCP GitHub Actions Hadoop Hive Java Kafka Machine Learning PagerDuty Power BI Python Scala Snowflake SQL Terraform
Apply Now
Blackline Safety

Blackline Safety

Blackline Safety is a top provider of connected gas detection and lone worker safety solutions, ensuring compliance, safety, and rapid incident response. Their innovative products prioritize safety, security, and location awareness for workers in vario...

Utilities
251-1K
Founded 2004
View All Jobs 3

Description

  • Design, build, and maintain scalable batch and real-time data pipelines using modern cloud tools.
  • Partner with product and engineering teams to deliver data-driven features and services.
  • Support ETL/ELT processes, the data lake, data warehouse, and data lakehouse environments.
  • Ensure data quality, reliability, and observability through monitoring, alerting, and documentation.
  • Participate in architectural discussions and contribute to the long-term data platform strategy.
  • Work with large real-time and batch datasets from devices across the globe.
  • Help optimize and expand data infrastructure that powers the company’s safety ecosystem.

Requirements

  • Degree in Computing Science, Data Engineering, Information Technology, or a related discipline.
  • 3+ years of experience in a Data Engineering role.
  • Experience with event-driven architecture and technologies such as Apache Kafka or Amazon MSK.
  • Familiarity with Infrastructure as Code and CI/CD best practices, including hands-on experience with Terraform and GitHub Actions.
  • Experience with monitoring and alerting platforms such as CloudWatch, Datadog, or PagerDuty.
  • Hands-on experience with ETL/ELT and orchestration tools including AWS Glue Studio, Matillion, and AWS Step Functions.
  • Proficiency with AWS data services including Redshift, EMR, S3, Lambda, Kinesis, and MSK.
  • Strong proficiency in SQL, Python, Java, and/or Scala.
  • Experience with additional big data technologies such as BigQuery, Snowflake, Microsoft Fabric, Hive, Hadoop, Apache Flink, or Apache Spark is preferred.
  • Familiarity with BI and analytics tools including Power BI and Amazon QuickSight is preferred.
  • Experience supporting data science teams and productionizing models is preferred.
  • Familiarity with AWS AI/ML services such as Amazon Bedrock, SageMaker, or Strands is preferred.
  • Comfort working in agile teams and collaborating with product, engineering, and analytics partners.
  • Experience using AI-assisted development tools such as Claude Code, Amazon Q Developer, and GitHub Copilot.

Benefits

  • Competitive base salary and annual compensation review.
  • Comprehensive health and dental benefits.
  • Mental health and wellness support.
  • Flexible work arrangements and a hybrid work model for eligible positions.
  • Paid vacation, personal days, and sick days.
  • Professional development opportunities and education funding.
  • A collaborative, inclusive, and mission-driven culture.
  • Exclusive access to perks and discounts.

Interested in this position?

Apply directly on the company website

Apply Now

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