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Lead Data Engneer

New York Technology Partners

Cary, North Carolina • Today

Easy Apply

Full-time

Depends on Experience

Data Engineer / Lead Engineer / Architect / Lead Data Architect / Data Platform Architect

JC CORPORATIONS

Remote • 3d ago

Easy Apply

Full-time, Third Party

$140,000 - $160,000

Lead Data Quality Engineer

EPAM Systems

Remote • Today

Full-time

Lead Data Integration Engineer

EPAM Systems

Remote • Today

Full-time

Lead Data Platform Engineer (Remote in ME)

Motion Recruitment Partners, LLC

Remote or Portland, Maine • Today

Easy Apply

Full-time

USD 140,000.00 - 200,000.00 per year

Lead Data Analytics and Visualization Engineer

EPAM Systems

Remote • Today

Full-time

Lead Data Platform Engineer (Manager / Architect)

Huron

Remote or Chicago, Illinois • Today

Full-time

USD 140,000.00 - 190,000.00 per year

Sr. Lead Data Engineer

Huron

Remote or Chicago, Illinois • Today

Full-time

USD 140,000.00 - 190,000.00 per year

Lead Platform Engineer (Data & AI)

Huron

Remote or Chicago, Illinois • Today

Full-time

USD 155,000.00 - 175,000.00 per year

Lead Software Engineer

Slate Auto

Remote • Today

Full-time

USD 141,807.00 - 212,710.00 per year

Lead Software Engineer

i3 Verticals

Remote or Nashville, Tennessee • Today

Full-time

Lead Software Engineer

Datacor

Remote • Today

Full-time

Lead Analytics Engineer - Data Modeling & Quality

Arcadia

Remote • Today

Full-time

USD 160,000.00 - 185,000.00 per year

Job Details

Skills

Azure
Databricks
Python
Pyspark

Summary

Mandatory Skills – Must-Have

Python, PySpark, Scala and SQL – strong production-level data engineering skills.
Azure Databricks – Delta Lake, Spark performance tuning, Jobs/Workflows and Unity Catalog.
Azure data services – ADLS Gen2 and Azure Data Factory (ADF).
Lakehouse / Medallion Architecture – proven experience implementing Bronze, Silver and Gold layers at enterprise scale.
Data Pipeline Engineering – metadata-driven ingestion frameworks, data transformation, data quality and large-scale pipeline optimization.
Production AI/LLM Experience – hands-on experience designing and deploying LLM-based solutions, including RAG, embeddings, retrieval and prompt engineering.
LLM Frameworks – experience with LangChain, LlamaIndex or LangGraph, plus Azure OpenAI, OpenAI or Databricks Model Serving.
Azure DevOps / CI-CD – experience automating data pipeline deployments; Terraform and Databricks Asset Bundles are highly relevant.
Technical Leadership – ability to design solutions, write production code, review code and guide data engineering teams.
Financial services or insurance data, especially financial reconciliation, general ledger or accounting data.
AI-driven data quality, anomaly detection and automated reconciliation.
Knowledge graphs, ontologies, semantic layers or enterprise Text-to-SQL solutions.
Azure security, data governance, PII protection and fine-grained access controls.
MLOps/LLMOps, model evaluation and production AI monitoring.

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: 10119106
Position Id: 9124546
Posted 10 hours ago

Fitment

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Prem Ratna

Recruiter @ New York Technology Partners

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Job Details

Skills

Azure
Databricks
Python
Pyspark

Summary

Mandatory Skills – Must-Have

Python, PySpark, Scala and SQL – strong production-level data engineering skills.
Azure Databricks – Delta Lake, Spark performance tuning, Jobs/Workflows and Unity Catalog.
Azure data services – ADLS Gen2 and Azure Data Factory (ADF).
Lakehouse / Medallion Architecture – proven experience implementing Bronze, Silver and Gold layers at enterprise scale.
Data Pipeline Engineering – metadata-driven ingestion frameworks, data transformation, data quality and large-scale pipeline optimization.
Production AI/LLM Experience – hands-on experience designing and deploying LLM-based solutions, including RAG, embeddings, retrieval and prompt engineering.
LLM Frameworks – experience with LangChain, LlamaIndex or LangGraph, plus Azure OpenAI, OpenAI or Databricks Model Serving.
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Technical Leadership – ability to design solutions, write production code, review code and guide data engineering teams.
Financial services or insurance data, especially financial reconciliation, general ledger or accounting data.
AI-driven data quality, anomaly detection and automated reconciliation.
Knowledge graphs, ontologies, semantic layers or enterprise Text-to-SQL solutions.
Azure security, data governance, PII protection and fine-grained access controls.
MLOps/LLMOps, model evaluation and production AI monitoring.

Dice Id: 10119106
Position Id: 9124546
Posted 10 hours ago

Fitment