Data Engineer

Our team at Blackline Safety is growing! As a people-driven technology company, with a mission to make sure every worker returns home safely, we drive innovation, practice resiliency, demonstrate leadership, go the extra mile for our customers, and empower our people to be their best.

As a Data Engineer, you’ll help expand, optimize, and maintain data pipelines and infrastructure that power our IoT-enabled safety ecosystem. You’ll work with large, real-time and batch datasets from devices across the globe — ensuring our systems are scalable, secure, and delivering accurate, timely data to the teams who need it.

Who are you?

• You’re a pragmatic builder and problem-solver who’s passionate about enabling better decisions through data.
• You understand that clean architecture and thorough documentation are essential, not optional.
• You work well in agile teams and enjoy collaborating with product, engineering, and analytics partners.
• You have opinions on data modeling, enjoy the challenge of working with event-driven architectures, and are comfortable switching between SQL, Python, Java, Scala and a variety of AWS services.

Key Responsibilities?

• Design, build, and maintain scalable data pipelines (batch and real-time) using modern cloud tools
• Work closely with product and engineering teams to deliver data-driven features and services
• Support our existing ETL/ELT processes, data lake and data warehouse environments
• Ensure data quality, reliability, and observability through robust monitoring and alerting
• Participate in architectural discussions and help evolve our data platform strategy

Qualifications/Education

• Degree in Computing Science, Data Engineering, IT, or a related field
• 3+ years of experience in a Data Engineering role
• Experience with AWS data tools: Redshift, EMR, S3, Lambda, Kinesis
• Hands-on experience with ETL/ELT tools such as AWS Glue Studio or Matillion ETL
• Proficiency in SQL, Python, Java, Scala
• Familiarity with best practices related to Infrastructure as Code (IaC) and CI/CD in multi-environment deployment workflows
• Experience with monitoring and alerting tools (e.g., CloudWatch, Datadog, PagerDuty)

Nice to Have

• Experience with additional big data technologies: BigQuery, Snowflake, Fabric, Hive, Hadoop, Flink, Spark
• Experience with event-driven architecture and related systems (e.g., Kafka)
• Familiarity with BI/analytics tools like Power BI, QuickSight and SSRS
• Interest or experience in AI/ML tools on AWS (e.g., Bedrock, SageMaker, Amazon Q)

What We Offer

• A mission-driven company saving lives through innovative tech
• Dynamic, experienced, and collaborative team environment
• Competitive salary, vacation, and benefits package
• Stock purchase plan with matching contributions
• Opportunities to work with cutting-edge technologies and global-scale IoT data

About Blackline Safety

Blackline Safety is a world leader in the development and manufacturing of wirelessly connected safety products. We offer the broadest and most complete portfolio available in the industry. Our products are designed to save lives and we monitor personnel working alone in populated areas, complex indoor facilities, and the remote reaches of our planet. Blackline’s products are used to keep people safe in the event of falls, missed check-ins, man-downs, and exposure to explosive or toxic gas. Our design, development, sales, marketing, support, and production are all performed in-house at our headquarters in Calgary, AB. Blackline Safety is a publicly-traded company (TSX: BLN). To learn more about our company visit www.blacklinesafety.com

Blackline Safety is powered by the diversity of our talented employees. We are an equal opportunity employer. We consider all applicants, regardless of age, religion, race, color, ancestry, gender, gender identity or expression, disability, national origin, race, or sexual orientation. We enthusiastically encourage all individuals to apply for positions that fit their passions.

Disclaimer:

Please be advised that Blackline Safety does not request payment or personal financial information at any stage of the recruitment process. Be cautious of any unsolicited job offers or communications that appear suspicious.