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Data Engineering Specialist
Data Engineering SpecialistAecon • Calgary, AB, CA
Data Engineering Specialist

Data Engineering Specialist

Aecon • Calgary, AB, CA
30+ days ago
Job type
  • Full-time
Job description

What is the Opportunity?

As the Data Engineering Specialist, you will be versatile and driven to help build the data foundation for our AI/ML initiatives. This role is essential to enabling intelligent automation, predictive analytics, and machine learning across our operations. You’ll design scalable data pipelines, transform complex data sources, and ensure our models have the high-quality inputs they need to deliver real impact.

What You’ll Do Here:

  • Develop and maintain robust pipelines for ingesting data from diverse sources, including IoT devices, operational systems, and field applications.
  • Ensure data is clean, timely, and reliable for downstream analytics and modeling.
  • Build connectors and workflows to integrate with various enterprise platforms and tools.
  • Normalize and transform semi-structured, unstructured and nested data into usable formats for analytics and AI/ML applications.
  • Support data engineering efforts on the Azure Data Platform (including Azure Databricks, Data Lake, and other services)
  • Create workflows to extract insights from documents, images, emails, and other unstructured formats.
  • Implement OCR, NLP preprocessing, and metadata extraction pipelines.
  • Converting unstructured data to markdown
  • CI/CD Automation in Databricks
  • Design and implement continuous integration and continuous deployment (CI/CD) workflows within Databricks to streamline code updates, automate testing, and accelerate delivery of data pipelines and analytics solutions. Leverage version control and automated build processes to ensure code quality and reproducibility across environments.
  • Collaborate with AI/ML teams to deliver curated datasets with engineered features, labeled examples, and consistent schemas.
  • Build feature pipelines, manage dataset versioning, and track data lineage.
  • Strengthen system reliability and reduce technical debt by supporting ingestion, integration, and data infrastructure.
  • Monitor and optimize performance across data workflows.
  • Play a foundational role in enabling AI-driven capabilities such as predictive analytics, anomaly detection, and intelligent automation.
  • Ensure the AI/ML team has the data infrastructure needed to deliver high-impact solutions.

What You Bring to the Team:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
  • 3+ years of experience in data engineering, preferably in AI/ML environments.
  • 3+ years of experience using Databricks and/or MS Fabric
  • Proficiency in Python, SQL, and distributed data frameworks (e.g., Spark, Kafka).
  • Experience with cloud platforms (e.g., Azure, AWS, GCP) and orchestration tools (e.g., Airflow, Prefect).
  • Strong understanding of data modeling, ETL/ELT processes, and unstructured data workflows.

Reason for Vacancy: New

The expected pay range for this role is $81,500 - $95,000 per year

Individual pay is determined based on several factors, including work location, education, experience, unique skills and job conditions. Other considerations may include certifications, specialized training, and the complexity or scope of the role.

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Data Engineering Specialist • Calgary, AB, CA

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