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Added 3 mins ago
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Absorb

Staff Marketing Technology Engineer

Remote, Canada

Job type: Full-time
Workplace: Remote
Experience: 5+ years of data engineering experience, with demonstrated breadth into software and/or AI application development.
Posting language: English
Posted: Sep 11, 2026

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Original job description

“As our Marketing Technology Engineer, you’ll do more than keep our data platform humming - you’ll build the AI applications and agents that put that data to work, automating how our marketing and product teams operate. You’ll own the full path from a mature BigQuery and dbt foundation to deployed, secure, production-grade tools that give every team leverage. If you’re excited to engineer at the intersection of data, AI, and marketing - and to do it with real craftsmanship - come help us redefine the landscape of e-learning solutions.” - Saravana Sivanandham, CMO

Absorb Software is looking for a Marketing Technology Engineer to own and evolve the technology behind our data-driven and AI-driven marketing. This is a dual mandate. On one side, you’ll steward a mature data platform - a BigQuery warehouse with dbt-based transformations - ensuring clean, reliable, well-governed data. On the other, you’ll design, build, and deploy applications and AI agents on Google Cloud that automate marketing and product work and give our teams self-serve leverage.

Throughout, you’ll set the engineering bar. Much of what you build will be created with AI assistance, and your job is to make sure that code is held to professional standards: version-controlled, reviewed, tested, securely deployed, and maintainable. This is a senior individual-contributor role that provides technical leadership and architectural direction across our marketing technology stack. It does not have direct reports.

What you’ll do:

Own and evolve our marketing data platform - a BigQuery data warehouse with dbt-based transformations - designing and maintaining ETL/ELT pipelines that connect diverse data sources and scale as our measurement needs grow.
Design, build, and deploy applications and AI agents on Google Cloud - exposing backends for agentic use and lightweight frontends/UIs where needed - to automate marketing and product workflows.
Develop AI-powered tools that let Marketing, Product, and other teams self-serve automation, and apply AI to automate data-engineering work itself.
Uphold engineering best practices across an AI-assisted codebase: Git-based version control, code review, semantic versioning, automated testing, and CI/CD for clean, reproducible deployments. You are the quality gate that ensures AI-generated code is production-ready - not shipped as-is.
Own data security and governance across the platform: least-privilege access (IAM), secret management, PII handling, BigQuery row/column-level security, and guardrails on AI systems that have access to data (e.g., against prompt injection and data exfiltration).
Collaborate closely with Marketing, Finance, Sales, Marketing Operations, Data Analysts, and BI specialists to understand data and tooling needs, ensure data integrity, and resolve discrepancies through root-cause analysis.
Shape the marketing technology and AI platform stack, aligning it with strategic priorities to maximize impact on business outcomes and growth.
Assess and mitigate risks to delivery timelines, quality, stability, and performance, ensuring the reliability and robustness of our data and AI infrastructure.
Serve as a subject-matter expert in data architecture, AI application engineering, and marketing technology - staying current through research, proofs of concept, and reusable frameworks that drive innovation and efficiency.
Provide technical guidance and architectural expertise across initiatives, and take on other responsibilities as needed to support evolving business priorities.

What you’ll bring:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
5+ years of data engineering experience, with demonstrated breadth into software and/or AI application development.
Strong software-engineering fundamentals: Git-based workflows, code review, automated testing, and CI/CD for clean, reproducible deploys.
Hands-on experience deploying applications on Google Cloud (e.g., Cloud Run, Cloud Functions, or GKE), containerization (Docker), and infrastructure-as-code (e.g., Terraform).
Experience building and deploying AI/LLM applications and agents (e.g., Vertex AI / Agent Builder, LangChain/LangGraph, or similar), API design (e.g., FastAPI), and evaluating AI system reliability.
Expertise in SQL and Python, and proven experience designing and implementing ETL/ELT processes and pipelines (batch and streaming) and integrating with APIs.
Required experience with BigQuery and dbt, and a solid understanding of data-warehouse modelling concepts.
Working knowledge of data security and governance best practices: IAM/least-privilege, secret management, and handling of sensitive/PII data.
Experience in cloud environments (GCP preferred; AWS/Azure an asset) and a passion for data- and AI-driven development.
Excellent written and verbal communication skills.
Familiarity with Fivetran and with marketing software categories - content management, CRM, experience management, email marketing, and tracking tools - is a plus.
Familiarity with data visualization tools such as Power BI or Tableau is a plus.

Are you ready to become an Absorber?

What we offer:

Fully remote-first work with flexible work arrangements 🏡

Comprehensive Health and Wellness Benefits including 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 and monthly Flex Allowance to support your success 📦

Endless opportunity for career growth and internal mobility 🌱

Employee driven DE&I programs 🫶

Who are we?

Absorb Software is the leading global AI-driven learning platform provider, helping organizations unlock the full potential of their workforce. With its innovative Strategic Learning Systems (SLS) approach, Absorb empowers businesses to align learning with strategic goals, driving measurable impact and workforce agility. The Absorb LMS platform delivers personalized, scalable, and engaging learning experiences for employees, customers, and partners worldwide. Trusted by over 3,300 organizations and 34 million users, Absorb is redefining the future of workplace learning through cutting-edge AI, seamless integrations, and an unwavering commitment to innovation. We empower learners to enrich their lives, workplaces and communities.

Our values are simple:

We achieve exceptional results by genuinely caring about each other and the work we do

We’re united, and we grow through our commitment to elevating continual learning!

AI @ Absorb

We believe in the power of AI and technology to make learning accessible to everyone. By exploring new tools and constantly experimenting, we’re redefining what’s possible. We take an AI‑first approach to unlock human potential, drive impact, and scale better outcomes. As the world evolves, Absorb is committed to growing with you. Investing in your skills every step of the way.

We use AI tools to support our recruitment process, such as organizing applications and highlighting potential matches based on role requirements. While these tools help streamline our review, all screening and final hiring decisions are made by our recruitment team. We encourage candidates to apply authentically and not rely solely on AI-generated responses in their applications.

Absorb is proud to be an equal opportunity employer, we celebrate diversity and are committed to creating a safe and inclusive environment for all our people. All employment decisions are based on business needs, job requirements and individual qualifications. Should you require any accommodation during the recruitment process, please indicate this on your application and we will work with you to meet your accessibility needs. For any questions, please contact us at accessiblecareers@absorblms.com

Successful candidates for this position will be subject to pre-employment background screening, including a criminal record check and must be able to show proof of legal eligibility to work in the country they have applied to without sponsorship.

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More about this job

Responsibilities

You will own and evolve the marketing data platform while designing and deploying AI agents on Google Cloud to automate marketing and product workflows. You will also uphold engineering best practices and ensure data security and governance across the entire stack.

Requirements

Candidates must have a bachelor's or master's degree in a technical field and at least 5 years of data engineering experience. Proficiency in BigQuery, dbt, Python, SQL, and cloud infrastructure is required, along with strong software engineering fundamentals.

Skills

BigQuery
Dbt
Google Cloud
Python
SQL
AI application development
Data engineering
Terraform
Docker
CI/CD
API design
Data governance
Vertex AI
LangChain
ETL/ELT pipelines

Benefits

Retirement savings programs
Bonus plans
Generous time off
Medical benefits
Dental benefits
New hire equipment allowance
Monthly flex allowance

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Hiring contact

Saravana Sivanandham

Keywords

Marketing Technology
Data Engineering
Artificial Intelligence
BigQuery
Dbt
Google Cloud Platform
Python
SQL
ETL
ELT
Terraform
Docker
CI/CD
Vertex AI
LangChain
Data Warehouse
Data Governance
API
FastAPI
Cloud Run
Cloud Functions
GKE
IAM
PII
Marketing Automation
Software Engineering
Git
Data Architecture
Machine Learning
Agentic AI

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