1 month ago
Remote, United StatesStaff+
Responsibilities
- Own and evolve the BigQuery marketing data platform, dbt transformations, and scalable batch and streaming ETL/ELT pipelines.
- Design, build, and deploy applications and AI agents on Google Cloud to automate marketing and product workflows.
- Develop AI-powered self-service tools and apply AI to automate data engineering work.
- Maintain engineering standards for version control, code review, testing, secure deployment, and maintainable AI-assisted code.
- Own data security and governance, including IAM, secret management, PII handling, row- and column-level security, and AI guardrails.
- Collaborate with cross-functional marketing, product, finance, sales, analytics, and BI stakeholders to resolve data and tooling needs.
- Provide technical leadership, architecture guidance, risk management, 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 demonstrated breadth in software and/or AI application development.
- Strong software engineering fundamentals, including Git workflows, code review, automated testing, and CI/CD.
- Hands-on experience deploying applications on Google Cloud, using Docker and infrastructure as code such as Terraform.
- Experience building and deploying AI/LLM applications and agents with technologies such as Vertex AI, Agent Builder, LangChain, or LangGraph.
- Experience with API design, such as FastAPI, and evaluating AI system reliability.
- Expertise in SQL, Python, ETL/ELT pipelines, batch and streaming processing, and API integrations.
- Required experience with BigQuery, dbt, and data warehouse modeling.
- Working knowledge of IAM, least-privilege access, secret management, data security, governance, and sensitive or PII data handling.
- Experience with cloud environments; GCP is preferred and AWS or Azure is an asset.
- Excellent written and verbal communication skills.
- Familiarity with Fivetran, marketing technology categories, and data visualization tools such as Power BI or Tableau is 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 country of 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
