Data Engineer
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Job Description
Senior Data Engineer building secure HR data warehouses and pipelines for Inallmedia.com’s workforce analytics clients. Developing dbt semantic layers, Snowflake Cortex agents, and MCP-enabled natural-language querying.
Responsibilities:
- Develop, optimize, and maintain secure HR data pipelines using dbt, PySpark, Python, and Apache Airflow
- Ingest HR data from REST APIs, real-time streams, Google Sheets, web APIs, and external platforms
- Provision, configure, and maintain scalable extraction, transformation, and loading infrastructure using Terraform, AWS Glue, AWS EMR, and AWS S3
- Design and maintain data models, data marts, and warehouse structures in Snowflake and Google BigQuery
- Build semantic views and ontology layers mapping CORE → SEMANTIC → METRICS on dbt models
- Configure and deploy generative AI query agents using Snowflake Cortex Analyst and Cortex Search
- Maintain MCP connections between Snowflake and internal AI tools
- Monitor pipelines to enforce 99.5% uptime
- Build automated tests within a Data Quality Framework
- Ensure secure handling of PII and produce comprehensive technical documentation
- Support workforce analytics for international enterprise Centers of Excellence and executive leadership
Requirements:
- 5+ years of dedicated, hands-on data engineering experience
- Deep expertise in Snowflake, Google BigQuery, and dbt
- Strong object-oriented Python scripting capabilities
- Hands-on experience with REST API integrations and real-time data ingestion
- Proficiency in Apache Airflow
- Advanced, highly optimized SQL writing skills
- Experience securely handling large-scale sensitive data (PII)
- Comprehensive technical documentation skills
- Experience working in Agile teams and remote, distributed environments
- Advanced/Fluent English communication skills
- Minimum 4 core working hours of overlap with US Eastern Standard Time
- Nice-to-have: semantic modeling, Snowflake Cortex, Cortex Analyst, Cortex Search, MCP, equivalent LLM query frameworks, prompt engineering, and context engineering
Benefits:
- Remote work from LATAM
- Full-time vendor contract
- Time zone flexibility with EST overlap
- Distributed-team work environment
- Long-term technical expertise and product innovation projects
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