Staff Marketing Technology Engineer

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Absorb SoftwareE-learning software
Remote CANFull-TimeStaff
Salary not disclosed
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Job Details

Experience
5+ years of data engineering experience
Required Skills
DockerPythonSQLGCPFastAPITerraformBigQuerydbtLangChain

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 or AI application development.
  • Strong software-engineering fundamentals: Git, code review, automated testing, and CI/CD.
  • Hands-on experience deploying applications on Google Cloud (Cloud Run, Cloud Functions, or GKE).
  • Experience with containerization (Docker) and infrastructure-as-code (Terraform).
  • Experience building and deploying AI/LLM applications and agents (e.g., Vertex AI, LangChain/LangGraph).
  • Proficiency in API design (e.g., FastAPI).
  • Expertise in SQL and Python for ETL/ELT pipeline design.
  • Required experience with BigQuery and dbt, including data-warehouse modeling concepts.
  • Knowledge of data security and governance (IAM, secret management, PII handling).

Responsibilities

  • Own and evolve the marketing data platform, including BigQuery data warehouse and dbt-based transformations.
  • Design, build, and deploy applications and AI agents on Google Cloud to automate marketing and product workflows.
  • Develop AI-powered tools that allow teams to self-serve automation.
  • Uphold engineering best practices including Git-based version control, code review, automated testing, and CI/CD.
  • Ensure data security and governance, including IAM, secret management, PII handling, and AI system guardrails.
  • Collaborate with Marketing, Finance, Sales, and Data teams to ensure data integrity and resolve discrepancies.
  • Shape the marketing technology and AI platform stack to align with strategic business priorities.
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