1 month ago
Remote, United StatesStaff+
Responsibilities
- Own and evolve the BigQuery marketing data warehouse and dbt-based transformations.
- Design and maintain batch and streaming ETL/ELT pipelines integrating diverse data sources and APIs.
- Build and deploy applications and AI agents on Google Cloud, including backends and lightweight frontends.
- Develop self-serve AI-powered automation for Marketing, Product, and other teams.
- Maintain engineering quality through Git workflows, code review, semantic versioning, automated testing, CI/CD, and production-readiness standards.
- Own data security and governance, including IAM, secret management, PII handling, BigQuery row- and column-level security, and AI safety guardrails.
- Collaborate with cross-functional marketing, finance, sales, operations, analytics, and BI stakeholders to resolve data issues.
- Provide technical leadership, architectural direction, risk mitigation, research, proofs of concept, and reusable frameworks across the marketing technology stack.
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 in software and/or AI application development.
- Strong software engineering fundamentals, including Git-based workflows, code review, automated testing, and CI/CD.
- Hands-on experience with Google Cloud application deployment, containerization, and infrastructure as code.
- Experience building and deploying AI/LLM applications and agents, designing APIs, and evaluating AI system reliability.
- Expertise in SQL, Python, ETL/ELT pipeline design, batch and streaming processing, API integration, BigQuery, dbt, and data-warehouse modeling.
- Working knowledge of IAM, least-privilege access, secret management, and sensitive or PII data handling.
- Experience with cloud environments; GCP is preferred, while AWS and Azure are assets.
- Excellent written and verbal communication skills.
- Fivetran, marketing software categories, and Power BI or Tableau familiarity are preferred.
Benefits
- Fully remote-first work with flexible work arrangements.
- Health and wellness benefits, retirement savings programs, eligibility for two bonus plans, paid time off, and medical and dental benefits based on location.
- New hire equipment allowance and monthly flex allowance.
- Career growth and internal mobility opportunities.
- Employee-driven diversity, equity, and inclusion programs.
Categories
AI ApplicationsData Engineering
About Absorb
Absorb builds a cloud-based learning management system used by enterprises to deliver employee, partner, and customer training, compliance, and certification. It sells LMS subscriptions and add-ons such as content libraries, e-commerce, analytics, and integrations, and includes AI-assisted authoring and personalization. Founded in 2003 and headquartered in Calgary, it is privately held under ownership of Welsh, Carson, Anderson & Stowe.