Staff Marketing Technology Engineer

AbsorbGibsonton, FL
Remote

About The Position

Absorb Software is seeking a Marketing Technology Engineer to manage and enhance the technology underpinning their data-driven and AI-driven marketing efforts. This role involves a dual responsibility: maintaining a robust data platform (BigQuery warehouse with dbt transformations) to ensure data quality and governance, and designing, building, and deploying applications and AI agents on Google Cloud to automate marketing and product tasks, providing self-serve capabilities to teams. The position emphasizes setting a high engineering standard for AI-assisted code, ensuring it meets professional requirements for version control, review, testing, security, and maintainability. This is a senior individual contributor role offering technical leadership and architectural direction for the marketing technology stack, without direct reports.

Requirements

  • 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.

Nice To Haves

  • Familiarity with Fivetran.
  • Familiarity with marketing software categories — content management, CRM, experience management, email marketing, and tracking tools.
  • Familiarity with data visualization tools such as Power BI or Tableau.

Responsibilities

  • Own and evolve the marketing data platform, including a BigQuery data warehouse with dbt-based transformations, and design/maintain ETL/ELT pipelines for diverse data sources that scale with growing measurement needs.
  • Design, build, and deploy applications and AI agents on Google Cloud, creating backends for agentic use and lightweight frontends/UIs as needed to automate marketing and product workflows.
  • Develop AI-powered tools enabling Marketing, Product, and other teams to self-serve automation, and apply AI to automate data-engineering tasks.
  • Uphold engineering best practices for an AI-assisted codebase, including Git-based version control, code review, semantic versioning, automated testing, and CI/CD for reproducible deployments, acting as a quality gate for AI-generated code.
  • Manage data security and governance across the platform, encompassing least-privilege access (IAM), secret management, PII handling, BigQuery row/column-level security, and implementing guardrails for AI systems accessing data.
  • Collaborate with Marketing, Finance, Sales, Marketing Operations, Data Analysts, and BI specialists to understand data and tooling requirements, 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 business outcomes and growth.
  • Assess and mitigate risks related to delivery timelines, quality, stability, and performance to ensure the reliability of 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.
  • Provide technical guidance and architectural expertise across initiatives, and undertake other responsibilities to support evolving business priorities.

Benefits

  • 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
  • Monthly Flex Allowance to support your success
  • Endless opportunity for career growth and internal mobility
  • Employee driven DE&I programs
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