Sr. Python Data Engineer
Backend Developer
Python
Senior
Apache Airflow
Artificial Intelligence
Big Data
Bigdata
Cloud Data Engineering
Cloud Data Platform
Cloud Infrastructure
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Technology
Data
Data & Ai
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Engineering Lead
Data Integration
Data Lakehouse
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Science
Data Science Ops
Data Warehouse
Database
Databases
Databricks
DevOps
DevSecOps
ETL
Information Technology (IT)
Infrastructure As Code
Programming
Programming Language
Programming Languages
Rag Architectures
Security Automation
Software Security
Spark
SQL
Vector Databases
Job Description
Build and deliver production data and AI capabilities for enterprise clients in a senior role based in Georgia.
Responsibilities
- Design, build, and ship production-grade data and AI systems for enterprise clients
- Lead technical workstreams end to end
- Mentor junior engineers
- Own 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
- 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
- Output handling in production workflows
- Hands-on experience with modern frameworks and platforms including Spark, LangChain, Databricks, Dask, Airflow, Dagster, and Kedro
- Ability to lead AI feature implementation end to end, with judgment on model behavior, evaluation, reliability, guardrails, and trade-offs between quality, latency, and cost
- Deep knowledge of MLOps/LLMOps, including CI/CD for data workflows and automated agent evaluation tools:
- LangSmith
- Opik
- Langfuse
- Infrastructure as code with Terraform across cloud providers: AWS, Azure, GCP
- Experience implementing robust data security and governance controls, including managing PII/PHI, authentication, and RBAC (role-based access control)
- Exceptional time management and ability to own technical workstreams independently
- Strong verbal and written communication skills in English and the local office language
- Willingness to travel as required
Preferred Qualifications
- Experience using coding agents such as Cursor, Claude Code, Codex, etc.
Technologies
- Python, SQL, Scala, Java
- Spark, LangChain, Databricks, Dask
- Airflow, Dagster, Kedro
- Agentic AI, Generative AI, Machine Learning, Business Intelligence
- Prompt design, Retrieval-augmented generation (RAG), embeddings, vector databases
- CI/CD, LangSmith, Opik, Langfuse
- Terraform, AWS, Azure, GCP
- PII/PHI, RBAC
Location: Georgia (onsite)
Experience: 5+ years