Sr. Python Data Engineer
Globant
United States
26 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English
Job source
Tech stack
Java (Programming Language)
Artificial Intelligence
Airflow
Amazon Web Services
Microsoft Azure
Continuous Integration
Information Engineering
Data Security
Cursor
Python (Programming Language)
Machine Learning
Role-Based Access Control
+18 more
Standard Sql
Web Application Frameworks
Google Cloud
LangChain
Claude Code
Prompt Engineering
Apache Spark
Generative AI
AI Coding Agents
Langfuse — LLM Observability and Analytics Platform
Agentic-AI
LangSmith
Information Technology
Low Latency
Dask
Machine Learning Operations
Terraform
Databricks
Job description
We’re looking for a Senior Data Engineer to design, build, and ship production-grade data and AI systems for enterprise clients. You’ll lead technical workstreams, mentor junior engineers, and own the end-to-end delivery of data and AI features.
Requirements
- Degree in Computer Science/Engineering, or equivalent experience
- 5+ years of relevant professional experience in a data engineering role, including leading technical workstreams, mentoring junior engineers, and driving adoption of software engineering best practices within a team
Core Technical Skills
- Expert-level proficiency in Python and SQL
- Ability to work in polyglot environments (Scala, Java) when required by client enterprise systems
- Strong experience building Agentic AI, Generative AI, Machine Learning, and Business Intelligence systems, including prompt design, retrieval-augmented generation (RAG), embeddings, vector databases, context construction, and output handling in production workflows
- Hands-on experience with modern frameworks such as Spark, LangChain, Databricks, Dask, Airflow, Dagster, and Kedro
AI Delivery & Judgment
- Ability to lead the implementation of AI features end to end, with sound judgment around model behavior, evaluation, reliability, guardrails, and the trade-offs between quality, latency, and cost
MLOps / LLMOps & Infrastructure
- Deep knowledge of MLOps/LLMOps, including CI/CD for data workflows and automated agent evaluation (LangSmith, Opik, Langfuse)
- Infrastructure as code (Terraform) across cloud providers (AWS, Azure, GCP)
Security & Governance
- Experience implementing robust data security and governance controls, including managing PII/PHI, authentication, and role-based access control (RBAC)
Professional Skills
- Exceptional time management and the ability to own technical workstreams autonomously
- Strong verbal and written communication skills in English and the local office language
- Willingness to travel as required, * Experience using coding agents (Cursor, Claude Code, Codex, etc.)
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