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. Key Responsibilities Design, build, and maintain scalable data pipelines (batch and real-time) using modern cloud tools. Partner closely with product and engineering teams to deliver data-driven features and services that support our safety mission. Support our existing ETL/ELT processes, data lake, data warehouse, and data lakehouse environments. Ensure data quality, reliability, and observability through robust monitoring, alerting, and documentation practices. Participate actively in architectural discussions and contribute to the long-term strategy of our data platform. About You Degree in Computing Science, Data Engineering, Information Technology, or related discipline. 3+ years of experience in a Data Engineering role. Experience with event-driven architecture and related technologies (e.g., Apache Kafka, Amazon MSK). Familiarity with Infrastructure as Code (IaC) and CI/CD best practices in multi-environment deployment workflows, 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: Redshift, EMR, S3, Lambda, Kinesis, and MSK. Strong proficiency in SQL, Python, Java, and/or Scala. 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. You have embraced AI-assisted development as a core part of your workflow — leveraging agentic tools such as Claude Code, Amazon Q Developer, and GitHub Copilot to accelerate delivery, reduce toil, and maintain higher standards of code quality. Nice to Have Experience with additional big data technologies such as BigQuery, Snowflake, Microsoft Fabric, Hive, Hadoop, Apache Flink, or Apache Spark. Familiarity with BI and analytics tools including Power BI and Amazon Quick. Experience supporting data science teams with the infrastructure, tooling, and model-serving pipelines they need. Familiarity with AI/ML services on AWS, including Amazon Bedrock, SageMaker, or Strands, and an understanding of how data engineering work underpins model training and inference workflows. Comfort working alongside data scientists to help productionize models, ensure training data quality, and build reliable data feeds for analytical and predictive use cases. Total Rewards At Blackline Safety, we offer more than just a job—we offer a career with purpose. Our Total Rewards offerings are designed to support the diverse needs of our global workforce and vary based on employment type and location. They may include: Competitive base salary and annual compensation review Comprehensive health and dental benefits* Mental health and wellness support Flexible work arrangements and hybrid work model for eligible positions Paid vacation, personal and sick days* Professional development opportunities Education funding A collaborative, inclusive, and mission-driven culture Exclusive access to perks and discounts A flexible ‘Dress for Your Day’ environment *Eligibility and coverage vary by employment type and region. Diversity, Equity & Inclusion 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. If you require accommodation during the recruitment process, please contact us at [email protected]. We are committed to ensuring an accessible and equitable experience for all candidates. Join Us If you’re passionate about technology, safety, and making a difference, we’d love to hear from you. Apply today and help us build a safer, more connected world. Unauthorized Recruitment Communication Alert We are aware of the instances in which individuals are receiving fraudulent job offers or interview requests that are fraudulently alleged to be from Blackline Safety. Blackline Safety does not request payment or personal financial information at any stage of the recruitment process. Please exercise caution, and do not respond to emails or other communications that are not from a Blackline Safety email address.

Design, build, and maintain scalable batch and real-time data pipelines using modern cloud infrastructure. Collaborate with product and engineering teams to deliver data-driven features and ensure high data quality and reliability.

Requires a degree in Computing Science, Data Engineering, or a related field and at least 3 years of experience in a data engineering role. Proficiency in SQL, Python, Java, or Scala and hands-on experience with AWS data services and event-driven architectures is essential.

• Competitive base salary • Annual compensation review • Comprehensive health and dental benefits • Mental health and wellness support • Flexible work arrangements • Paid vacation • Personal and sick days • Professional development opportunities • Education funding

• SQLPreferred
• CI/CDPreferred
• Amazon Web ServicesPreferred
• JavaPreferred
• TerraformPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Data engineering
• SQL
• Python
• Java
• Scala
• AWS
• ETL/ELT
• Apache Kafka
• Terraform
• CI/CD
• Data modeling
• Infrastructure as code
• Cloud architecture
• Data pipelines
• Monitoring
• Alerting
• Matillion
• Claude Code
• Data Lakes
• AWS SageMaker
• GitHub Copilot
• Pipelines
• AWS Kinesis
• PagerDuty
• Event Driven Architecture
• Observability
• BlackLine (Accounting Software)
• Workflow Management
• Go (Programming Language)
• AI/ML Inference
• Snowflake (Data Warehouse)
• AWS Glue
• Resilience
• Microsoft Fabric
• Machine Learning Model Training
• AWS Bedrock
• Infrastructure as Code (IaC)
• Data Lakehouse
• Amazon Managed Streaming for Apache Kafka (Amazon MSK)
• Java (Programming Language)
• Agile Methodology
• Artificial Intelligence
• Amazon Web Services
• Mental Health
• Business Intelligence
• Big Data
• Google BigQuery
• Communication
• Information Technology
• Data Engineering

• Data & Analytics
• Software
• Engineering
• Technology
• Security & Safety
• Data Engineer
• Software Developers
• Database Administrators

Minimum education

Bachelor’s degree

Minimum experience

3+ years

Posting language

English

Working hours

40 hours per week

Location requirements

Country, Canada