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Databricks Data Engineer Jobs in New York (NOW HIRING)

Deloitte

Databricks Data Engineer

New York, NY · On-site

$125K - $150K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Deloitte

Databricks Data Engineer

Stamford, CT · On-site

$122K - $146K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Deloitte

Databricks Data Engineer

Morristown, NJ · On-site

$117K - $141K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Deloitte

Sr Databricks Data Engineer

New York, NY

$125K - $150K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Deloitte

Sr Databricks Data Engineer

Stamford, CT

$122K - $146K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Deloitte

Sr Databricks Data Engineer

Morristown, NJ · On-site

$117K - $141K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

CYNET SYSTEMS

Data Engineer

Jersey City, NJ · On-site

$55 - $60/hr

... an ETL/ELT developer/data engineer. * 3+ years of Databricks data engineering experience ... Expert in AWS Databricks, Python, Spark. * Strong SQL and UNIX Shell scripting experience.

GEI Consultants

Data Engineer

Manhattan, NY · On-site

$90K - $150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

GEI Consultants

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

United Airlines

Data Engineer

Bridgewater, NJ · On-site

$117K - $140K/yr

... Databricks Ability to independently define and deploy an end to end data architecture that includes Databricks medallion architecture Experience leading large teams of engineers and developers to ...

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Databricks Data Engineer information

See New York salary details

$48.7K

$141.9K

$194.2K

How much do databricks data engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for databricks data engineer in New York is $141,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,400.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive in the Databricks Data Engineer position, and why are they important?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in New York? The most popular types of Databricks Data Engineer jobs in New York are:
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What job categories do people searching Databricks Data Engineer jobs in New York look for? The top searched job categories for Databricks Data Engineer jobs in New York are:
What cities in New York are hiring for Databricks Data Engineer jobs? Cities in New York with the most Databricks Data Engineer job openings:
Databricks Data Engineer jobs near you
Databricks Data Engineer

Databricks Data Engineer

Recruit Professional Services

Bedminster, NJ

$116K - $140K/yr

Other

Posted 13 days ago

Job description

Databricks Data Engineer
Responsibilities:
  • Assist with leading the team's transition to the Databricks platform and utilize the newer features of Delta Live Tables, Workflows etc.
  • Design and develop data pipelines that extract data from Oracle, load it into the data lake, transform it into the desired format, and load it into Databricks data lakehouse.
  • Optimize data pipelines and data processing workflows for performance, scalability, and efficiency.
  • Implement data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
  • Help create and maintain documentation for data mappings, data definitions, architecture and data flow diagrams.
  • Build proof-of-concepts to determine viability of possible new processes and technologies.
  • Deploy and manage code in non-prod and prod environments.
  • Investigate and troubleshoot data related issues and fix or provide solutions to fix defects.
  • Identify and resolve performance bottlenecks, which could include suggesting ways to optimize and performance tune databases and queries to enhance query performance.

Requirements:
  • Bachelor's Degree in Computer Science, Data Science, Software Engineering, Information Systems, or related quantitative field.
  • 4+ years of experience working as a Data Engineer, ETL Engineer, Data/ETL Architect or similar roles.
  • Current/active Databricks Data Engineer/Analyst certification a BIG plus.
  • 3+ years working with Databricks with knowledge and expertise of data structures, data storage and change data capture gained from prior production implementations of data pipelines, optimizations, and best practices.
  • Solid continuous experience in Python.
  • 3+ years of experience in Kimball dimensional modeling (star-schema comprising of facts, type1 and type2 dimensions, aggregates, etc.) with solid understanding of ELT/ETL.
  • 3+ years of solid experience writing SQL and PL/SQL code.
  • 2+ years of experience with Airflow.
  • 3+ years of experience working with relational databases (Oracle preferred).
  • 2+ years of experience working with NoSQL databases: MongoDB, Cosmos DB, DocumentDB or similar.
  • 2+ years of cloud experience (Azure preferred).
  • Experience with CI/CD utilizing git/Azure DevOps.
  • Experience with storage formats including Parquet/Arrow/Avro.

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