Data Engineer Experienced

TRC Talent Solutions is seeking a Data Engineer to build and maintain data infrastructure supporting AI and machine learning initiatives. The role focuses on developing data pipelines for model training, retrieval-augmented generation, vector search, production ML systems, data governance, and MLOps/LLMOps workflows.

Responsibilities

Design and build pipelines to ingest, clean, and transform structured and unstructured data (documents, PDFs, transcripts, logs) for AI/ML use cases

Build and maintain vector embedding pipelines and support vector database integration

Develop feature stores/pipelines for ML model training and inference

Implement data pipelines supporting RAG architectures chunking strategies, embedding refresh cycles, metadata tagging

Partner with ML engineers/data scientists to understand data requirements for model training and evaluation

Ensure data lineage, quality, and governance across pipelines feeding AI systems

Optimize pipelines for cost and performance (e.g., Dynamic Tables, streaming ingestion)

Support MLOps/LLMOps workflows versioning datasets, tracking data used in model training for reproducibility and compliance

Implement entitlement/access control logic so AI systems only access data they're authorized to use

Preferred

Experience with Snowflake Cortex, Cortex Search, or similar in-warehouse AI tooling

Experience in a regulated industry (financial services) with data entitlement/compliance requirements

Exposure to LLM application frameworks (LangChain, LlamaIndex)

Snowflake Cortex

Cortex Search

In-Warehouse AI Tooling

Financial Services

Data Entitlement

Data Compliance

LLM Application Frameworks

LangChain

LlamaIndex

Company

Full-service staffing and workforce solutions provider

Atlanta, Georgia, USA

https://trctalent.com/

Founded in 1980

51-200 employees

Qualifications

Strong SQL + one of Python/Scala for pipeline development

Experience with a cloud data platform

Experience with orchestration tools (Airflow, dbt)

Understanding of embedding models, vector search, and RAG patterns

Experience with unstructured data processing

Familiarity with ML lifecycle concepts

Experience with Snowflake Cortex, Cortex Search, or similar in-warehouse AI tooling

Experience in a regulated industry (financial services) with data entitlement/compliance requirements

Exposure to LLM application frameworks (LangChain, LlamaIndex)

Required skills

SQL, Python, Scala, Cloud Data Platforms, Apache Airflow, dbt, Embedding Models, Vector Search, Retrieval-Augmented Generation (RAG), Unstructured Data Processing, Machine Learning Lifecycle, Data Entitlement and Compliance

Preferred skills

Atlanta, Georgia, USA, https://trctalent.com, Growth Stage, Leadership Team, Geetha Krishnan, SVP, Chief Information Officer, Travis Almy, Chief Growth Officer, Recent News, Morningstar.com, 2026-08-26, Company data provided by, AI Tools, Customize Your Resume, Maximize your interview chances, Build Cover Letter, Make your application stand out, Analyze How Well You Fit, Understand your strength & weakness

Experience

Mid level