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Lead Data Engineer Databricks

SANS

Hybrid in New York, New York • Today

Easy Apply

Full-time

Depends on Experience

Lead Data Engineer (Databricks)

HMG America

Remote • Today

Easy Apply

Full-time

$DOE

Senior Data Engineer/ Databricks, PySpark, Python

EPAM Systems

Remote • Today

Full-time

Senior Azure Databricks Engineer - Jersey City, NJ 1 of 2

Randstad Digital

Jersey City, New Jersey • Today

Contract

USD75 - USD80

Databricks Senior Data Engineer -Pyspark

SmartIT Frame

New York, New York • 29d ago

Easy Apply

Third Party, Contract

Depends on Experience

Lead Data Engineer

CitiusTech

Remote • Yesterday

Easy Apply

Full-time

130000 - 140,000

Lead Data Engineer

Wilcore Technologies Inc.

Remote • 22d ago

Easy Apply

Full-time

145000 - 155000

Lead Data Engineer

Ampacity

Remote or Hybrid in Atlanta, Georgia • 21d ago

Easy Apply

Full-time

120,000 - 130,000

Lead Data Engineer

Redhorse Corporation

Remote • Today

Full-time

Lead Data Engineer

Centene Corporation

Remote or Missouri • Today

Full-time

USD 102,900.00 - 190,500.00 per year

Lead Data Engineer

Protective

Remote or Nebraska • Today

Full-time

USD 109,500.00 - 167,833.00 per year

Lead Software Engineer - SQL/Python/Databricks

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 156,750.00 - 215,000.00 per year

Sr. BI Lead Databricks Engineer

Stefanini

Remote or Humble, Texas • Today

Easy Apply

Contract

$80 - $85 /hr

Sr. Data Engineer with Investment domain experience

Nava Software Solutions

Holmdel, New Jersey • Today

Easy Apply

Contract, Third Party

Data Integration Lead, VP

MUFG

Jersey City, New Jersey • Today

Full-time

Senior Databricks Engineer

nFolks Data Solutions

Remote • Today

Easy Apply

Third Party, Contract

Depends on Experience

Senior Databricks Data Engineering

COOLSOFT

Remote • Today

Easy Apply

Contract

60 - 70

Senior Data Engineer with Investment Domain experience

Aspire Systems Digital Transformation Inc

Holmdel, New Jersey • 11d ago

Easy Apply

Contract

70 - 80

Lead Software Engineer

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 156,750.00 - 215,000.00 per year

Senior Data Engineer (W2 Role & Locals within NJ)

Resourcesys

Millburn, New Jersey • Yesterday

Easy Apply

Contract

Lead Software Engineer - Front End/React/AIML

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 156,750.00 - 215,000.00 per year

Senior Databricks & Power BI Data Engineer / Analyst

NimbusAITech LLC

Remote • Today

Easy Apply

Contract

50 - 60

Lead Software Engineer - Market Risk Reporting & Visualization

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 156,750.00 - 215,000.00 per year

Senior AI Data Engineer

Cooley Godward Kronish LLP

New York, New York • Today

Full-time

USD 220,000.00 - 250,000.00 per year

Software and Data Engineer - Software Engineer III- Agentic Pricing

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 137,750.00 - 185,000.00 per year

Senior Lead Software Engineer - AI/ML Developer

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 175,750.00 - 260,000.00 per year

Lead Machine Learning Engineer - Agentic Pricing

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 171,000.00 - 260,000.00 per year

Senior Data Platform Engineer (Databricks, Python)

CVS Health

Remote or Illinois • Today

Full-time

USD 101,970.00 - 203,940.00 per year

AI/ML Senior Lead Software Engineer - Agentic Pricing

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 175,750.00 - 260,000.00 per year

Lead Software Engineer and ML Engineer - Sales Copilot

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 156,750.00 - 215,000.00 per year

Job Details

Skills

Data Engineer
Databricks
data modeling
Python
PySpark
Medallion Architecture

Summary

Job Title: Lead Data Engineer Databricks Location: New York City, NY | Hybrid (3 days per week onsite)
Ideal Experience Range: 6-12 Years
Interview Process: 3 Rounds with One being onsite in NY/NJ
Client: Media Streaming
Key requirements for this role:

Hands-on Databricks experience within the last 2 years, with working knowledge of its features
Prior data engineering experience, including building pipelines and integrating multiple data sources
Knows data modeling

Role Overview
Client is seeking a Lead Data Engineer with deep hands-on expertise in Databricks, SQL, Python, and PySpark to design, develop, and optimize scalable data engineering solutions.
This role offers an opportunity to work on enterprise-scale data platforms supporting analytics, digital products, and emerging AI use cases. The candidate will drive Databricks engineering best practices, solve challenging technical problems, and provide technical leadership across multiple initiatives.
Key Responsibilities

Design and develop scalable data pipelines on Databricks, following Medallion Architecture.
Build and optimize data ingestion, transformation, and orchestration workflows for batch and incremental processing.
Optimize data processing workloads, SQL queries, and compute configurations for performance and cost efficiency.
Ensure data quality, observability, lineage, and reliability across production pipelines, including troubleshooting complex issues.
Provide hands-on technical leadership through solution design, code reviews, reusable engineering patterns, and mentoring other engineers.

Required Qualifications

6+ years of Data Engineering experience, with substantial hands-on experience delivering production solutions on Databricks.
Strong proficiency in SQL, Python, and PySpark, including distributed data processing and performance optimization.
Strong understanding of Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and workflow orchestration.
Familiarity with Git, CI/CD, and production deployment practices.
Strong troubleshooting, problem-solving, and communication skills.

Preferred Qualifications

Databricks Certified Data Engineer Associate or Professional certification.
Experience working with AWS cloud services, particularly S3 and cloud-based data integrations.
Experience with advanced ingestion patterns such as Auto Loader, Structured Streaming, or Change Data Capture (CDC).
Familiarity with Databricks Asset Bundles or Apache Airflow.
Experience with large-scale media datasets: streaming, clickstream, or advertising data.

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: 9132127
Posted 20 hours ago

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Contact the job poster

Amit Lakhotia

Technical Recruiter @ SANS

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Job Details

Skills

Data Engineer
Databricks
data modeling
Python
PySpark
Medallion Architecture

Summary

Hands-on Databricks experience within the last 2 years, with working knowledge of its features
Prior data engineering experience, including building pipelines and integrating multiple data sources
Knows data modeling

Design and develop scalable data pipelines on Databricks, following Medallion Architecture.
Build and optimize data ingestion, transformation, and orchestration workflows for batch and incremental processing.
Optimize data processing workloads, SQL queries, and compute configurations for performance and cost efficiency.
Ensure data quality, observability, lineage, and reliability across production pipelines, including troubleshooting complex issues.
Provide hands-on technical leadership through solution design, code reviews, reusable engineering patterns, and mentoring other engineers.

Required Qualifications

6+ years of Data Engineering experience, with substantial hands-on experience delivering production solutions on Databricks.
Strong proficiency in SQL, Python, and PySpark, including distributed data processing and performance optimization.
Strong understanding of Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and workflow orchestration.
Familiarity with Git, CI/CD, and production deployment practices.
Strong troubleshooting, problem-solving, and communication skills.

Preferred Qualifications

Databricks Certified Data Engineer Associate or Professional certification.
Experience working with AWS cloud services, particularly S3 and cloud-based data integrations.
Experience with advanced ingestion patterns such as Auto Loader, Structured Streaming, or Change Data Capture (CDC).
Familiarity with Databricks Asset Bundles or Apache Airflow.
Experience with large-scale media datasets: streaming, clickstream, or advertising data.

Thanks And Regards,

Amit Lakhotia