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Data Engineer with Gen AI

Hexaware Technologies, Inc

Atlanta, Georgia • Today

Easy Apply

Full-time

$100,000 - $120,000

2027 Early Careers: Analyst, Gen AI - Data Science - United States, Atlanta, GA

AIG Technologies

Atlanta, Georgia • Today

Full-time

Gen AI - Platform Engineer

Tandavix llc

Remote • 23d ago

Easy Apply

Contract, Third Party

70 - 80

Gen AI Engineer

Arthur Lawrence

Remote • 5d ago

Easy Apply

Contract, Third Party

Depends on Experience

Sr. Data Scientist Generative AI

Virtual Networx

Atlanta, Georgia • Today

Easy Apply

Third Party, Contract

$DOE

Senior Data Engineer (ONLY FULLTIME)

Blackstraw LLC

Remote • Today

Easy Apply

Full-time

Depends on Experience

Business Consultant - AI/ML Engineer

NTT DATA Americas, Inc

Hybrid in Sandy Springs, Georgia • 22d ago

Easy Apply

Contract, Third Party

$60 - $70

Gen AI Engineer - Kansas City, KS, Denver, CO, Phoenix, AZ, St. Louis, MO, Nashville, TN.

TechniPros, LLC

Remote or Kansas City, Kansas • Today

Easy Apply

Contract

Depends on Experience

Cloud Developer – ML/AI Focus

Algo Soft Solutions LLC

Alpharetta, Georgia • 2d ago

Easy Apply

Contract

Depends on Experience

Sr. AI Engineer - Atlanta, GA - Min 8+ Years experience

Hexaware Technologies, Inc

Atlanta, Georgia • 30+d ago

Easy Apply

Full-time

$100,000 - $120,000

Business Consultant - AI/ML Engineer

NTT DATA Americas, Inc

Hybrid in Sandy Springs, Georgia • 22d ago

Easy Apply

Contract, Third Party

$60 - $70

Sr AI Data Engineer

High Bridge Consulting

Remote • 13d ago

Easy Apply

Contract

$50 - $80

Data Engineer - ML/AI Data Platform (Remote)

FEI Systems

Remote or Columbia, Maryland • Today

Full-time

AI Architect - Retail Domain

Acunor Infotech

Duluth, Georgia • Today

Easy Apply

Full-time, Third Party, Contract

Senior AI ML Software Engineer - Data Platforms - Remote Nationwide or Hybrid in MN or DC

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Gen AI Project Manager

SES

Remote • 6d ago

Easy Apply

Full-time

Depends on Experience

Sr. Manager Data Science - Gen AI and Content Systems

Reed Elsevier Technology Services

Remote or Raleigh, North Carolina • Today

Full-time

USD 118,300.00 - 219,800.00 per year

Lead AI/ML Engineer (Data Science) - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Sr. Manager Data Science - Gen AI and Content Systems

LexisNexis

Remote or Raleigh, North Carolina • Today

Full-time

USD 118,300.00 - 219,800.00 per year

Senior Lead AI Developer

Talent Glide

Remote • 15d ago

Easy Apply

Full-time

60 - 70

Gen AI Engineer

nFolks Data Solutions

Remote • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

AWS AI Architect - Remote 15+ years

Techaffinity Consulting

Remote • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

Generative AI Engineer

Equifax

Atlanta, Georgia • Today

Full-time

Forward Deployed Engineer

Nityo Infotech Corporation

Remote • 2d ago

Easy Apply

Full-time

Depends on Experience

Sr AI/ML Lead (Onsite GA)

Pacific Consultancy Services

Atlanta, Georgia • 12d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior GenAI Engineer/Remote

Apetan Consulting

Remote • 6d ago

Easy Apply

Contract, Third Party

Depends on Experience

Staff, Data Science & Applied AI

Warner Bros. Discovery

Atlanta, Georgia • Today

Full-time

AI Engineer

System One

Remote • 2d ago

Easy Apply

Contract

$52.85

Lead Data Engineer

Inspire Brands

Sandy Springs, Georgia • Today

Full-time

Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Atlanta, GA

American Express

Atlanta, Georgia • Today

Full-time

USD 78,000.00 - 124,750.00 per year

Job Details

Skills

Python
SQL
PySpark
Retrieval-Augmented Generation (RAG)
LLM

Summary

Data Engineer Generative AI

We are seeking a skilled Data Engineer with Generative AI experience to design, build, and optimize scalable data platforms that support AI and analytics initiatives. This role will focus on developing reliable data pipelines, preparing high-quality datasets for large language model applications, and enabling secure, production-ready GenAI solutions.

Key Responsibilities

Design, develop, and maintain scalable batch and real-time data pipelines.
Build and optimize data ingestion, transformation, validation, and orchestration processes.
Develop data models and curated datasets for analytics, machine learning, and Generative AI use cases.
Support GenAI applications by preparing, chunking, embedding, indexing, and retrieving enterprise data for Retrieval-Augmented Generation (RAG) workflows.
Integrate data sources such as relational databases, APIs, data lakes, document repositories, and streaming platforms.
Work with vector databases and embedding models to enable semantic search and GenAI knowledge retrieval.
Implement data quality checks, metadata management, lineage, monitoring, and alerting.
Partner with data scientists, AI engineers, architects, and business stakeholders to translate requirements into scalable data solutions.
Ensure data security, privacy, governance, and access controls are applied across pipelines and AI datasets.
Optimize pipeline performance, storage costs, and query efficiency.
Document data architecture, pipeline designs, data mappings, and operational procedures.

Required Qualifications

Bachelor s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
Strong experience in data engineering, ETL/ELT development, and data warehousing.
Proficiency in Python and SQL.
Experience with data processing frameworks such as Apache Spark, PySpark, Databricks, or similar tools.
Experience with cloud data platforms such as AWS, Azure, or Google Cloud Platform.
Hands-on experience with data lakes, lakehouses, or cloud warehouses such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.
Familiarity with workflow orchestration tools such as Apache Airflow, Azure Data Factory, AWS Glue, or similar platforms.
Understanding of Generative AI concepts, including LLMs, embeddings, prompt engineering, vector search, and RAG architectures.
Experience integrating APIs and working with semi-structured and unstructured data, including JSON, PDFs, documents, and text files.
Strong problem-solving, communication, and collaboration skills.

Preferred Qualifications

Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Azure AI Search, or OpenSearch.
Experience with GenAI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar tools.
Familiarity with LLM platforms and services such as Azure OpenAI, Amazon Bedrock, Google Vertex AI, or open-source models.
Experience with data governance, cataloging, master data management, and data quality tools.
Knowledge of DevOps and CI/CD practices, including Git, Docker, Kubernetes, and automated deployment pipelines.
Experience in implementing data masking, PII detection, access controls, and responsible AI practices.
Domain experience in financial services, healthcare, retail, or another regulated industry.

Key Skills

Python, SQL, PySpark, Spark
ETL/ELT, Data Modeling, Data Warehousing
Data Lakes, Lakehouse Architecture, Data Quality
Apache Airflow, Databricks, Snowflake
AWS, Azure, or Google Cloud Platform
LLMs, RAG, Embeddings, Vector Databases
API Integration, Semantic Search, Unstructured Data Processing
Data Governance, Security, and Privacy

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: hexaware
Position Id: 9086815
Posted 8 hours ago

Fitment

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Rashmi Ajit kumar

Recruiter @ Hexaware Technologies, Inc

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Job Details

Skills

Python
SQL
PySpark
Retrieval-Augmented Generation (RAG)
LLM

Summary

Data Engineer Generative AI

Key Responsibilities

Design, develop, and maintain scalable batch and real-time data pipelines.
Build and optimize data ingestion, transformation, validation, and orchestration processes.
Develop data models and curated datasets for analytics, machine learning, and Generative AI use cases.
Support GenAI applications by preparing, chunking, embedding, indexing, and retrieving enterprise data for Retrieval-Augmented Generation (RAG) workflows.
Integrate data sources such as relational databases, APIs, data lakes, document repositories, and streaming platforms.
Work with vector databases and embedding models to enable semantic search and GenAI knowledge retrieval.
Implement data quality checks, metadata management, lineage, monitoring, and alerting.
Partner with data scientists, AI engineers, architects, and business stakeholders to translate requirements into scalable data solutions.
Ensure data security, privacy, governance, and access controls are applied across pipelines and AI datasets.
Optimize pipeline performance, storage costs, and query efficiency.
Document data architecture, pipeline designs, data mappings, and operational procedures.

Required Qualifications

Bachelor s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
Strong experience in data engineering, ETL/ELT development, and data warehousing.
Proficiency in Python and SQL.
Experience with data processing frameworks such as Apache Spark, PySpark, Databricks, or similar tools.
Experience with cloud data platforms such as AWS, Azure, or Google Cloud Platform.
Hands-on experience with data lakes, lakehouses, or cloud warehouses such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.
Familiarity with workflow orchestration tools such as Apache Airflow, Azure Data Factory, AWS Glue, or similar platforms.
Understanding of Generative AI concepts, including LLMs, embeddings, prompt engineering, vector search, and RAG architectures.
Experience integrating APIs and working with semi-structured and unstructured data, including JSON, PDFs, documents, and text files.
Strong problem-solving, communication, and collaboration skills.

Preferred Qualifications

Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Azure AI Search, or OpenSearch.
Experience with GenAI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar tools.
Familiarity with LLM platforms and services such as Azure OpenAI, Amazon Bedrock, Google Vertex AI, or open-source models.
Experience with data governance, cataloging, master data management, and data quality tools.
Knowledge of DevOps and CI/CD practices, including Git, Docker, Kubernetes, and automated deployment pipelines.
Experience in implementing data masking, PII detection, access controls, and responsible AI practices.
Domain experience in financial services, healthcare, retail, or another regulated industry.

Key Skills

Python, SQL, PySpark, Spark
ETL/ELT, Data Modeling, Data Warehousing
Data Lakes, Lakehouse Architecture, Data Quality
Apache Airflow, Databricks, Snowflake
AWS, Azure, or Google Cloud Platform
LLMs, RAG, Embeddings, Vector Databases
API Integration, Semantic Search, Unstructured Data Processing
Data Governance, Security, and Privacy

Dice Id: hexaware
Position Id: 9086815
Posted 8 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Rashmi Ajit kumar

Recruiter @ Hexaware Technologies, Inc

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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