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Lead Data Engineer Databricks

SANS

Hybrid in New York, New York • 2d ago

Easy Apply

Full-time

Depends on Experience

Data Engineer

Virtual Networx

New York, New York • Today

Easy Apply

Contract, Third Party

$DOE

Data Engineer

Genesis10

Jersey City, New Jersey • Today

Easy Apply

Full-time

Compensation information provided in the description

Senior Data Engineer - Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite in Jersey City

Yoh - A Day & Zimmerman Company

Jersey City, New Jersey • Today

Easy Apply

Full-time

Competitive

Data Engineer

ASCII Group LLC

New York, New York • Yesterday

Easy Apply

Contract

58 - 60

Azure Data Engineer

Tandym Tech

Jersey City, New Jersey • Today

Easy Apply

Contract

$60 - $60 per hour

Data Engineer

FanDuel

New York, New York • Today

Full-time

USD 116,000.00 - 145,000.00 per year

Data Engineer, Accounting

Mitchell Martin, Inc.

New York, New York • 16d ago

Easy Apply

Full-time, Third Party

$100000 - $140000

AWS Data Engineer

ApTask

Hybrid in Newark, New Jersey • 5d ago

Easy Apply

Full-time

130,000 - 140,000

Data Engineer & Agentic AI Lead

Vaco by Highspring

New York, New York • 8d ago

Easy Apply

Full-time

Depends on Experience

Cloud Data Engineer

Congensys Corp.

Hybrid in Woodbridge Township, New Jersey • Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Sr. Data Engineer with Investment domain experience

Nava Software Solutions

Holmdel, New Jersey • 2d ago

Easy Apply

Contract, Third Party

Senior AWS Data Engineer

Dale Workforce Solutions

Hybrid in Parsippany-Troy Hills, New Jersey • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

Data Engineer

Intercontinental Exchange, Inc

New York, New York • Today

Full-time

USD 80,000.00 - 120,000.00 per year

Data Engineer

Health First Inc.

New York, New York • Today

Full-time

USD 108,300.00 - 156,485.00 per year

Data Engineer

Jump Trading, LLC

New York, New York • Today

Full-time

USD 200,000.00 - 250,000.00 per year

Staff Data Engineer

National Grid

New York, New York • Today

Full-time

USD 135,000.00 - 158,000.00 per year

Data Engineer

City of New York

New York, New York • Today

Full-time

USD 150,000.00 per year

Data Engineer

NxT Level

New York, New York • Today

Full-time

Senior Data Engineer

Garner Health

New York, New York • Today

Full-time

USD 220,000.00 - 245,000.00 per year

Data Engineer III

Garner Health

New York, New York • Today

Full-time

USD 166,000.00 - 205,000.00 per year

Data Engineer II

Garner Health

New York, New York • Today

Full-time

USD 138,000.00 - 160,000.00 per year

Lead Data Engineer

JPMorgan Chase & Co.

New York, New York • Today

Full-time

USD 147,250.00 - 190,000.00 per year

Senior Data Engineer

Formation Bio

New York, New York • Today

Full-time

USD 185,500.00 - 232,000.00 per year

Senior Data Engineer

BitGo

New York, New York • Today

Full-time

USD 180,000.00 - 220,000.00 per year

Senior Data Engineer

NxT Level

New York, New York • Today

Full-time

AI Data Engineer

Pebal Bright Technologies LLC

Hybrid in New York, New York • 28d ago

Easy Apply

Full-time

Depends on Experience

AWS Data Engineer

ApTask

Hybrid in Newark, New Jersey • Today

Easy Apply

Full-time

$130 - $145

Staff Data Engineer

Dow Jones & Company

New York, New York • Today

Full-time

USD 160,000.00 per year

Databricks Data Engineer

Serenity Info Tech, Inc.

New York, New York • Today

Easy Apply

Contract, Third Party

Depends on Experience

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 2 days ago

Fitment

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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

Dice Id: SANS3
Position Id: 9132127
Posted 2 days 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

Amit Lakhotia

Technical Recruiter @ SANS

View Profile

Create job alert

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