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Data Engineer Python, React, Databricks & Azure

SANS

Hybrid in New York, New York • Today

Easy Apply

Contract

Depends on Experience

Software Engineer - AI Development

Merck & Company Inc

Rahway, New Jersey • Today

Full-time

USD 87,300.00 - 137,400.00 per year

Lead Software Engineer - Java Developer/Architect

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 152,000.00 - 215,000.00 per year

Lead Software Engineer - AI Developer/Architect

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

Senior Software Engineer, Full Stack - AI

Fitch Group

New York, New York • Today

Full-time

USD 130,000.00 - 150,000.00 per year

Senior Software Engineer, Full Stack - AI

Fitch Group

New York, New York • 4d ago

Full-time

USD 130,000.00 - 150,000.00 per year

Staff Machine Learning Engineer - Search

FanDuel

New York, New York • 7d ago

Full-time

USD 159,000.00 - 208,950.00 per year

Senior Python Engineer - Applications Development Sr Programmer Analyst - Assistant Vice President

Citi

Rutherford, New Jersey • Today

Full-time

USD 121,200.00 - 181,800.00 per year

Senior Python Engineer - Applications Development Sr Programmer Analyst - C12 - RUTHERFORD

Citi

Rutherford, New Jersey • Today

Full-time

USD 121,200.00 - 181,800.00 per year

Forward Deployed Engineer (FDE) - VC Backed Startups

SignalFire

New York, New York • 5d ago

Full-time

Senior Lead Python Engineer - Applications Development Group Manager - C14 - RUTHERFORD

Citi

Rutherford, New Jersey • Today

Full-time

USD 176,720.00 - 265,080.00 per year

Senior Application Engineer Databricks Apps & Platform Solutions

Y & L Consulting Inc.

Remote • 15d ago

Easy Apply

Contract

Depends on Experience

Application & Data Engineering (US Support)

Bravo Technical Resources

Remote or Maryland • Today

Full-time

USD 55.00 per hour

Python Developer

Sensiple Inc.

Remote • Today

Easy Apply

Contract

55 - 60

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

Forward Deployed AI Product Engineer

phData

Remote • Today

Full-time

Lead Agentic AI Engineer

Lincoln Softtech LLC

Remote • 29d ago

Easy Apply

Contract, Third Party

70 - 75

Staff Cybersecurity Software Engineer

General Motors

Remote • Today

Full-time

USD 160,200.00 - 246,300.00 per year

Lead AI Engineer- Remote

UnitedHealth Group

Remote or Richardson, Texas • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Sr. Software Engineer

Georgia IT

Remote • 7d ago

Easy Apply

Contract

Depends on Experience

Senior Software Engineer

Kforce Technology Staffing

Remote or Leawood, Kansas • Today

Full-time

$150,000 - $160,000 annually

Generative AI Developer/AI Solutions Developer/Full Stack Engineer – AI Applications

Apetan Consulting

Remote • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

Staff Machine Learning Engineer - Search

FanDuel

New York, New York • Today

Full-time

USD 159,000.00 - 208,950.00 per year

Job Details

Skills

Data Engineer
Python
React
Databricks
Azure
Azure Blob Storage
GenAI
Medallion Architecture
P&C Insurance OR Casulaty

Summary

Job Title Data Engineer Python, React, Databricks & Azure Location Hybrid (New York, NY / Edison, NJ) Duration 12+ Months
Job Overview: We are seeking an experienced Data Engineer with strong hands-on expertise in React JS, Core Python, Azure, Databricks, and Delta Lake to design, develop, and support scalable data engineering solutions. The ideal candidate will build Python-based ETL pipelines, develop data workflows for GenAI applications, implement data quality frameworks, and collaborate with cross-functional teams to deliver reliable data platforms.
Key Responsibilities

Design, develop, and maintain Python-based ETL/ELT pipelines for enterprise data ingestion, transformation, validation, and storage.
Develop cloud-native data solutions using Azure Function Apps, Azure Blob Storage, Azure Cosmos DB, Azure Databricks, and Delta Lake.
Build and optimize Databricks notebooks, workflows, Delta Tables, and data transformation pipelines using Python and PySpark.
Develop reusable Core Python modules, libraries, utilities, and automation frameworks for data engineering processes.
Build data workflows supporting GenAI portals and applications, ensuring reliable ingestion, processing, storage, and availability of data.
Develop and maintain data pipelines integrating structured and semi-structured data from multiple sources.
Implement automated data validation, reconciliation, completeness, and quality checks to identify missing, duplicate, or incomplete records.
Optimize Databricks and Python workloads for performance, scalability, reliability, and cost efficiency.
Work with React to support data-driven portal components, dashboards, data visualization, and integration with backend APIs.
Develop and integrate REST APIs and backend services to expose processed data to React-based applications.
Implement monitoring, logging, error handling, alerting, and recovery mechanisms across data pipelines.
Provide production support, including incident triage, root cause analysis, troubleshooting, problem management, and SLA adherence.
Collaborate with business stakeholders, vendors, developers, QA teams, and application teams to understand requirements and deliver enhancements.
Participate in code reviews, technical design discussions, testing, deployment, and release activities.
Maintain technical documentation for data pipelines, architecture, data flows, operational procedures, and support processes.

Required Skills & Qualifications

Strong hands-on experience with Core Python and Python-based data engineering.
Experience with Azure cloud services, particularly:
Strong experience with Databricks, PySpark, Delta Lake, and Delta Tables.
Experience designing and maintaining ETL/ELT pipelines and data workflows.
Hands-on experience implementing data quality and validation frameworks.
Experience with React.js and integrating React applications with backend APIs/data services.
Strong understanding of REST APIs, JSON, API integration, and microservices-based architectures.
Experience with Git-based source control and CI/CD processes.
Strong SQL skills and experience working with relational and NoSQL data sources.
Experience with application monitoring, production support, incident management, and troubleshooting.
Strong communication and collaboration skills with technical and non-technical stakeholders.

Preferred Skills

Experience supporting GenAI/AI platforms or data portals.
Knowledge of Azure DevOps and CI/CD pipelines.
Experience with Azure API Management.
Knowledge of data lakehouse architecture and Medallion Architecture.
Experience with Agile/Scrum development methodologies.
Familiarity with observability, logging, and cloud monitoring tools.

Thanks and regards,

Amit Lakhotia

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: SANS3
Position Id: 9054557
Posted 3 hours ago

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Amit Lakhotia

Technical Recruiter @ SANS

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Databricks Data Engineer

Remote

•

15d ago

Databricks Data EngineerIntroductionAs a Databricks Data Engineer, you will be responsible for designing, developing, and maintaining scalable data engineering solutions using the Databricks Lakehouse Platform. You will work with Apache Spark, Delta Lake, and cloud technologies to build and optimize ETL/ELT pipelines, define data architecture, and provide technical leadership in implementing best practices. ResponsibilitiesDesign, develop, and maintain scalable data pipelines using Databricks, A

Easy Apply

Full-time

65 - 75

Job Details

Skills

Data Engineer
Python
React
Databricks
Azure
Azure Blob Storage
GenAI
Medallion Architecture
P&C Insurance OR Casulaty

Summary

Design, develop, and maintain Python-based ETL/ELT pipelines for enterprise data ingestion, transformation, validation, and storage.
Develop cloud-native data solutions using Azure Function Apps, Azure Blob Storage, Azure Cosmos DB, Azure Databricks, and Delta Lake.
Build and optimize Databricks notebooks, workflows, Delta Tables, and data transformation pipelines using Python and PySpark.
Develop reusable Core Python modules, libraries, utilities, and automation frameworks for data engineering processes.
Build data workflows supporting GenAI portals and applications, ensuring reliable ingestion, processing, storage, and availability of data.
Develop and maintain data pipelines integrating structured and semi-structured data from multiple sources.
Implement automated data validation, reconciliation, completeness, and quality checks to identify missing, duplicate, or incomplete records.
Optimize Databricks and Python workloads for performance, scalability, reliability, and cost efficiency.
Work with React to support data-driven portal components, dashboards, data visualization, and integration with backend APIs.
Develop and integrate REST APIs and backend services to expose processed data to React-based applications.
Implement monitoring, logging, error handling, alerting, and recovery mechanisms across data pipelines.
Provide production support, including incident triage, root cause analysis, troubleshooting, problem management, and SLA adherence.
Collaborate with business stakeholders, vendors, developers, QA teams, and application teams to understand requirements and deliver enhancements.
Participate in code reviews, technical design discussions, testing, deployment, and release activities.
Maintain technical documentation for data pipelines, architecture, data flows, operational procedures, and support processes.

Required Skills & Qualifications

Strong hands-on experience with Core Python and Python-based data engineering.
Experience with Azure cloud services, particularly:
Strong experience with Databricks, PySpark, Delta Lake, and Delta Tables.
Experience designing and maintaining ETL/ELT pipelines and data workflows.
Hands-on experience implementing data quality and validation frameworks.
Experience with React.js and integrating React applications with backend APIs/data services.
Strong understanding of REST APIs, JSON, API integration, and microservices-based architectures.
Experience with Git-based source control and CI/CD processes.
Strong SQL skills and experience working with relational and NoSQL data sources.
Experience with application monitoring, production support, incident management, and troubleshooting.
Strong communication and collaboration skills with technical and non-technical stakeholders.

Preferred Skills

Experience supporting GenAI/AI platforms or data portals.
Knowledge of Azure DevOps and CI/CD pipelines.
Experience with Azure API Management.
Knowledge of data lakehouse architecture and Medallion Architecture.
Experience with Agile/Scrum development methodologies.
Familiarity with observability, logging, and cloud monitoring tools.

Thanks and regards,

Amit Lakhotia

Dice Id: SANS3
Position Id: 9054557
Posted 3 hours ago

Fitment

Dice Job Match Score™

🎯 Assessing qualifications...

Contact the job poster

Amit Lakhotia

Technical Recruiter @ SANS

View Profile

Create job alert

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

Similar Jobs

Senior Data Engineer ID75059

Jersey City, New Jersey

•

Today

Full-time

Senior Data Engineer ID75059

New York, New York

•

Today

Full-time

Senior Data Engineer

White Plains, New York

•

Today

Full-time

USD 95,900.00 - 167,900.00 per year

Databricks Data Engineer

Remote

•

15d ago

Easy Apply

Full-time

65 - 75