Marketing AI & Data Platform Engineer

Absorb LMS; United States; On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Remote-first

Health benefits

Equipment allowance

Career growth

DEI programs

Job summary

Absorb Software seeks a Marketing Technology Engineer to own the data platform and build AI-powered marketing tools on Google Cloud. You’ll maintain BigQuery with dbt transformations, design AI-enabled applications, and ensure secure, production-grade deployments with CI/CD and robust governance.

You will collaborate with Marketing, Product, Finance, and Data teams to align data engineering with business goals, all while maintaining best-practice development standards and scalable, self-serve

Qualifications

• 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: Git-based workflows, code reviews, 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 (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).
• 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 data visualization tools such as Power BI or Tableau is a plus.

Responsibilities

• 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.

Skills

Data engineering

AI application development

SQL

Python

GCP / Google Cloud

BigQuery

dbt

Git / CI-CD

Education

Bachelor’s or Master’s in CS/DS or related

Tools

Docker

Terraform

GKE / Cloud Run / Functions

FastAPI

LangChain / LangGraph

Job description

Absorb Software seeks a Marketing Technology Engineer to own the data platform and build AI-powered marketing tools on Google Cloud. You’ll maintain BigQuery with dbt transformations, design AI-enabled applications, and ensure secure, production-grade deployments with CI/CD and robust governance.

You will collaborate with Marketing, Product, Finance, and Data teams to align data engineering with business goals, all while maintaining best-practice development standards and scalable, self-serve