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Absorb Software

Staff Marketing Technology Engineer

Absorb Software

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.

Posted 8/5/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering, AI application development, and marketing technology, with a strong focus on building and maintaining ETL/ELT pipelines and deploying applications on Google Cloud. Proficient in data security and governance practices, ensuring compliance with IAM and PII handling standards.

Highest-signal resume keywords
Data Engineering ExperienceGoogle Cloud DeploymentETL/ELT Pipeline DesignAI Application DevelopmentSQL and Python Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringETL/ELT Pipeline DesignSQLPythonAI Application DevelopmentBigQueryDbtGit-based WorkflowsAutomated TestingCI/CD
Soft Skills
Excellent Communication Skills
Tools & Technologies
Google CloudDockerTerraformFastAPIFivetranPower BITableau
Certifications & Qualifications
Bachelor’s or Master’s Degree in Computer Science, Data Science, or Related Field
Industry Keywords
Data SecurityIAMPII HandlingMarketing TechnologyAI Guardrails

Tech Stack

Tools & technologies
AWSAzureBigQueryCloudDockerETLGoogle Cloud PlatformPythonSQLTableauTerraform

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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