Senior Data Engineer
On-siteBuenos Aires, Buenos Aires F.D., Argentina or Mexico City, Mexico City, Mexico
Job Summary
Senior Data Engineer role focused on turning raw, messy fabrication data into clean, AI-ready datasets for AI/ML and analytics workloads. Responsibilities include building and operating ingestion/ELT/ETL pipelines from MongoDB Atlas and other sources into analytical/AI-serving layers; implementing layered transformations; deduplication, normalization, and validation; modernizing legacy data flows; building embeddings and vector pipelines for RAG, semantic search, and agentic workloads; ensuring production data is lineage-tracked and retrieval-friendly; implementing real-time/CDC data flows; adhering to canonical data models and data contracts; establishing testing, data quality, and observability with alerting/runbooks; using AI-assisted development tools; and partnering with Data Architect, ML, and application engineers to shape safe, production-ready data for consumption.
Required Qualifications
- 5+ years of hands-on data engineering experience building and operating production data pipelines at scale
- Strong programming and data skills: Python and SQL, with solid software-engineering fundamentals
- Hands-on MongoDB at production scale (Atlas ideal)
- Demonstrated experience with ELT/ETL pipeline design, transformation frameworks (dbt or equivalent), and orchestration (Airflow, Dagster, or Azure Data Factory)
- Experience building on cloud-native data platforms and lake/lakehouse/warehouse architectures
- Hands-on experience preparing data for AI/ML or analytical consumers — embeddings/vector pipelines, RAG-/feature-ready datasets
- Familiarity with vector search and embeddings in production (MongoDB Atlas Vector Search or equivalent)
- Demonstrated use of AI-assisted development tools (Claude Code, Copilot, Cursor) for data and pipeline work
- Strong grasp of data quality, testing, lineage, and pipeline observability practices
- Comfortable working in a complex, specialized domain (MEP/AEC experience is a plus)
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