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Data Engineer Python, React, Databricks & Azure

SANS

Hybrid in New York, New York • Today

Easy Apply

Contract

Depends on Experience

Senior Data Engineer

Jobot

New York, New York • Today

Full-time

USD 150,000.00 - 210,000.00 per year

Data Engineer

Strategic Resources International

Hybrid in Jersey City, New Jersey • Today

Easy Apply

Contract

Data Engineer

BCforward

New York, New York • Today

Easy Apply

Contract

$78.75 - $83.83 per hour

Data Engineer

cyberThink, Inc.

Englewood Cliffs, New Jersey • 13d ago

Easy Apply

Full-time

Up to $62

Data Engineer

Softtek Integration Systems Inc

Jersey City, New Jersey • 5d ago

Easy Apply

Full-time

Depends on Experience

Data Engineer -Snowflake + Python

Tanisha Systems, Inc.

East Brunswick, New Jersey • 7d ago

Easy Apply

Full-time, Third Party

Depends on Experience

Data Engineer

Motion Recruitment Partners, LLC

Rutherford, New Jersey • Today

Easy Apply

Contract

$66 - $72

Data Engineer

Kforce Technology Staffing

New York, New York • Today

Contract

$55 - $65 hourly

Databricks Data Engineer

MDMS Recruiting

Hybrid in New York, New York • Today

Easy Apply

Contract

$70 - $75

DATA ENGINEER

AaraTechnologies Inc

Remote or Hybrid in Jersey City, New Jersey • 5d ago

Easy Apply

Contract

$65,000 - $75,000

AWS Lead Data Engineer (AWS | PySpark | Python | Data Lake | Technical Lead)

Infosat IT Services LLC

Hybrid in Newark, New Jersey • 14d ago

Easy Apply

Contract

Depends on Experience

Data Engineer

Software Guidance & Assistance

Rutherford, New Jersey • Today

Contract

USD 72.47 - 86.96 per hour

Data Engineer

Apptad Inc

New York, New York • Today

Easy Apply

Contract

DataBricks Data Engineer

Innova Solutions, Inc

Hybrid in New York, New York • 20d ago

Easy Apply

Contract

Depends on Experience

Data Engineer

Sumitomo Mitsui Financial Group, Inc.

New York, New York • Today

Full-time

USD 73,000.00 - 98,000.00 per year

Data Engineer

Sumitomo Mitsui Financial Group, Inc.

New York, New York • Today

Full-time

USD 73,000.00 - 98,000.00 per year

Data Engineer

Lightning AI

New York, New York • Today

Full-time

USD 188,000.00 - 275,000.00 per year

Data Engineer

Sigma Computing

New York, New York • Today

Full-time

USD 140,000.00 - 180,000.00 per year

Data Engineer

REGARD Solutions Corp

New York, New York • Today

Full-time

Data Engineer

City of New York

New York, New York • Today

Full-time

USD 125,000.00 - 150,000.00 per year

Data Engineer

Horizontal Talent

New York, New York • Today

Full-time

Data Engineer

Jane Street

New York, New York • 9d ago

Full-time

Data Engineer

Citi

New York, New York • Today

Full-time

Compensation information provided in the description

Data Engineer

Jane Street

New York, New York • 9d ago

Full-time

Data Engineer

Jane Street

New York, New York • Today

Full-time

Snowflake Data Engineer

CLPS Global

New York, New York • Today

Easy Apply

Full-time

100,000 - 120,000

AI Data Engineer

QUANTUM TECHNOLOGIES LLC

Hybrid in New York, New York • 2d ago

Easy Apply

Contract

$180,000 - $200,000

Database Administrator / Data Engineer

Softthink Solutions, Inc.

New York, New York • Today

Easy Apply

Contract

Depends on Experience

Senior Data Engineer

Gemini

Remote or New York, New York • Today

Full-time

USD 126,000.00 - 180,000.00 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

Fitment

Dice Job Match Score™

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Contact the job poster

Amit Lakhotia

Technical Recruiter @ SANS

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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™

🔢 Crunching numbers...

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.

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