1 month ago
Remote, CanadaStaff+
Responsibilities
- Own and evolve the BigQuery marketing data warehouse and dbt-based transformations.
- Design and maintain batch and streaming ETL/ELT pipelines that integrate diverse data sources and APIs.
- Design, build, and deploy applications and AI agents on Google Cloud to automate marketing and product workflows.
- Develop AI-powered self-service tools and apply AI to automate data-engineering work.
- Maintain engineering standards including Git-based version control, code review, semantic versioning, automated testing, and CI/CD.
- Own data security and governance, including least-privilege IAM, secret management, PII handling, BigQuery row- and column-level security, and AI data-access guardrails.
- Collaborate with Marketing, Product, Finance, Sales, Marketing Operations, analysts, and BI specialists to resolve data and tooling needs.
- Provide technical leadership, architectural direction, data architecture expertise, and subject-matter expertise in AI application engineering and marketing technology.
- Assess and mitigate delivery, quality, stability, performance, and infrastructure risks.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
- 5+ years of data engineering experience with breadth into software and/or AI application development.
- Strong software-engineering fundamentals, including Git workflows, code review, automated testing, and CI/CD.
- Hands-on experience deploying applications on Google Cloud, including Cloud Run, Cloud Functions, or GKE, plus Docker and infrastructure-as-code such as Terraform.
- Experience building and deploying AI/LLM applications and agents using technologies such as Vertex AI, Agent Builder, LangChain, or LangGraph, and evaluating AI system reliability.
- API design experience, such as with FastAPI.
- Expertise in SQL and Python, ETL/ELT pipeline design, batch and streaming processing, and API integration.
- Required experience with BigQuery, dbt, and data-warehouse modeling concepts.
- Working knowledge of IAM, least privilege, secret management, data security, governance, and sensitive or PII data handling.
- Experience with cloud environments; GCP is preferred and AWS or Azure is an asset.
- Excellent written and verbal communication skills.
- Familiarity with Fivetran, marketing software categories, Power BI, or Tableau is a plus.
Benefits
- Fully remote-first work with flexible work arrangements.
- Health and wellness benefits, retirement savings programs, eligibility for two bonus plans, paid time off, and medical and dental benefits based on country of location.
- New hire equipment allowance and monthly flex allowance.
- Career growth and internal mobility opportunities.
- Employee-driven diversity, equity, and inclusion programs.
Categories
AI ApplicationsData Engineering
About Absorb
Absorb builds a cloud-based learning management system used by enterprises to deliver employee, partner, and customer training, compliance, and certification. It sells LMS subscriptions and add-ons such as content libraries, e-commerce, analytics, and integrations, and includes AI-assisted authoring and personalization. Founded in 2003 and headquartered in Calgary, it is privately held under ownership of Welsh, Carson, Anderson & Stowe.