Staff Marketing Technology Engineer
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Job Description
Marketing technology engineer building secure BigQuery/dbt data platforms and AI applications for Absorb’s global e-learning platform. Automating marketing and product workflows on Google Cloud.
Responsibilities:
- Own and evolve the marketing data platform, including the BigQuery warehouse and dbt-based transformations.
- Design and maintain ETL/ELT pipelines connecting diverse data sources.
- Design, build, and deploy applications and AI agents on Google Cloud.
- Develop AI-powered tools that automate Marketing and Product workflows and enable self-service automation.
- Apply AI to automate data-engineering work.
- Uphold Git-based version control, code review, semantic versioning, automated testing, and CI/CD practices.
- Own data security and governance, including IAM, secret management, PII handling, BigQuery row/column-level security, and AI guardrails.
- Collaborate with Marketing, Finance, Sales, Marketing Operations, Data Analysts, and BI specialists.
- Resolve data discrepancies through root-cause analysis.
- Shape the marketing technology and AI platform stack according to strategic priorities.
- Assess and mitigate delivery, quality, stability, and performance risks.
- Serve as a subject-matter expert in data architecture, AI application engineering, and marketing technology.
- Provide technical guidance and architectural expertise across initiatives.
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-based workflows, code review, automated testing, and CI/CD.
- Hands-on experience deploying applications on Google Cloud, such as Cloud Run, Cloud Functions, or GKE.
- Experience with Docker containerization and infrastructure-as-code, such as Terraform.
- Experience building and deploying AI/LLM applications and agents, such as Vertex AI, Agent Builder, LangChain, or LangGraph.
- Experience with API design, such as FastAPI, and evaluating AI system reliability.
- Expertise in SQL and Python.
- Proven experience designing and implementing batch and streaming ETL/ELT pipelines and integrating with APIs.
- Required experience with BigQuery and dbt.
- Solid understanding of data-warehouse modelling concepts.
- Working knowledge of IAM/least-privilege, secret management, and sensitive/PII data handling.
- Experience in cloud environments; GCP preferred, with AWS/Azure an asset.
- Excellent written and verbal communication skills.
- Familiarity with Fivetran and marketing software categories is a plus.
- Familiarity with Power BI or Tableau is a plus.
- Must provide proof of legal eligibility to work in the country applied to without sponsorship.
- Successful candidates are subject to pre-employment background screening, including a criminal record check.
Benefits:
- Fully remote-first work with flexible work arrangements 🏡
- Comprehensive Health and Wellness Benefits
- Retirement savings programs
- Eligibility for two different bonus plans
- Generous time off
- Comprehensive medical and dental benefits based on your country of location 🧘
- New Hire Equipment Allowance
- Monthly Flex Allowance 📦
- Career growth and internal mobility
- Employee driven DE&I programs 🫶
- Accessibility accommodations during the recruitment process
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