Data Engineer, AI & Analytics
New
J
JobgetherData Engineering
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- Advanced spoken and written English proficiency.
- Experience
- 3+ years
- Required Skills
- PythonSQLGCPGitSnowflakeCI/CDdbt
Requirements
- 3+ years of experience in data engineering or analytics engineering.
- At least 1 year of experience owning a meaningful production dbt project.
- Advanced proficiency in Python and SQL.
- Deep expertise in dbt, including Jinja, macros, testing, and materialization strategies.
- Strong command of Snowflake and the cloud data ecosystem.
- Experience designing and maintaining data models in multi-tenant environments.
- Working knowledge of marketing and advertising datasets (UTMs, attribution, conversions).
- Familiarity with cloud-native infrastructure, particularly GCP, and infrastructure-as-code.
- Demonstrated use of AI-agentic development workflows and tools (e.g., Cursor, Claude Code, GitHub Copilot).
- Strong understanding of Git, CI/CD, and software engineering best practices.
- Advanced spoken and written English proficiency.
Responsibilities
- Design, build, and maintain the core data foundation, including ingestion pipelines, data models, semantic layers, and data marts.
- Own the full workflow from raw platform data through production serving layers, ensuring reliable, scalable, and well-governed data products.
- Develop unified models across marketing and advertising platforms (e.g., Meta, Google, TikTok, Amazon) and customer-level integrations.
- Build semantic layers and standardized metric definitions that enable reliable analytics and consistent AI-generated SQL results.
- Collaborate with cross-functional teams to translate evolving requirements into scalable, production-ready data solutions.
- Monitor data quality, investigate issues, and optimize warehouse performance and infrastructure costs.
- Utilize AI-agentic development workflows and AI coding tools to accelerate engineering, debugging, and architecture.
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