Job Title: Data Engineer (AI & Data Platforms)
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
Job Summary: The role of the Data Engineer has fundamentally shifted in 2026. R2 Technologies is seeking an innovative Data Engineer who goes beyond traditional ETL to become a builder of "AI-ready" data foundations. You will be crucial in powering our SmartEnt platform and client AI initiatives by engineering context-rich data pipelines. Utilizing AI coding assistants (GitHub Copilot, Cursor) to automate boilerplate transformations, you will design systems that feed directly into Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures.
Key Responsibilities: * Build and maintain scalable, low-latency data pipelines utilizing modern data stack tools (e.g., dbt, Snowflake, Databricks, Apache Iceberg) to process both structured and unstructured data.
- Integrate and manage Vector Databases (such as Pinecone, Milvus, or Qdrant) to support enterprise semantic search and RAG workflows.
- Leverage AI-assisted coding tools to rapidly generate, test, and optimize SQL/Python data transformation code, freeing up time for complex architectural decisions.
- Orchestrate data workflows using Apache Airflow, Dagster, or n8n to ensure seamless, event-driven data delivery to AI agents and downstream analytics.
- Implement data reliability engineering practices (data contracts, observability, lineage) to ensure LLMs are grounded in highly accurate, governed data.
- Collaborate closely with Full Stack and AI/ML engineers to support multi-modal data ingestion from IoT devices, APIs, and enterprise systems.
Qualifications: *
Up to 3 years of hands-on experience in Data Engineering, Data Analytics, or ML Engineering.
- Strong proficiency in Python and advanced SQL.
- Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery) and orchestration tools.
- Familiarity with creating embedding pipelines and working with Vector Databases.
- Proven experience or strong familiarity working alongside AI coding assistants to enhance productivity.
- Understanding of modern lakehouse architectures and open table formats (Apache Iceberg, Delta Lake).
- Excellent communication skills and the ability to adapt to the fast-paced convergence of data and AI.
Skills:Snowflake,Apache
