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Senior Databricks Data Engineer Jobs in Red Bank, NJ

Data Engineer

New York, NY ยท On-site

$125K - $150K/yr

Create and manage workflows in Databricks and migrate existing Azure Data Factory pipelines. * Load ... Work with analytics, engineering, and business teams to deliver clean, ready-to-use datasets.

Data Engineer

New York, NY ยท On-site

$125K - $150K/yr

Data Engineer Work location: New York City, NY (Hybrid, 3 days in a week) In-person Interview is ... Advanced proficiency in Python, SQL Server, Snowflake, Azure Databricks, and PySpark. * Strong ...

Data Engineer III/Senior (Analytics)

Edison, NJ ยท On-site

$107K - $146K/yr

Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power ... Senior Data Engineer: * Bachelor's degree with 10+ years, Master's with 5+ years, or PhD with 3+ ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Sr. Product Manager - Technical

New York, NY ยท Remote

$182K - $211K/yr

... Databricks Data Intelligence Platform and identify opportunities to improve the product experience.You will act as a bridge between technical field teams and product and engineering . Insights from ...

Sr. Software Engineer- Backend

New York, NY ยท On-site

$165K - $219K/yr

P-1591 At Databricks, we are passionate about enabling data and AI teams to solve the world ... Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical ...

As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both ...

Showing results 21-40

Senior Databricks Data Engineer information

See Red Bank, NJ salary details

$61.1K

$129.9K

$188.3K

How much do senior databricks data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior databricks data engineer in Red Bank, NJ is $129,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $147,300.00 per year, depending on experience, location, and employer.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.
What are popular job titles related to Senior Databricks Data Engineer jobs in Red Bank, NJ? For Senior Databricks Data Engineer jobs in Red Bank, NJ, the most frequently searched job titles are:
What cities near Red Bank, NJ are hiring for Senior Databricks Data Engineer jobs? Cities near Red Bank, NJ with the most Senior Databricks Data Engineer job openings:
Infographic showing various Senior Databricks Data Engineer job openings in Red Bank, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,877 per year, or $62.4 per hour.

Senior Data Engineer with Credit Risk

Precision Technologies Corp

New York, NY โ€ข On-site

$116K - $157K/yr

Contractor

Re-posted 25 days ago


Job description

Title: Senior Data Engineer with Credit Risk

Location: NYC (Hybrid – 3 days in a week)

Type: Contract

Job Description:

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic Team within Capital Markets Space.

Responsibilities:

  • Understand technical specifications
  • Business requirements discussion with business analyst and business users
  • Python/SQL Server/Snowflake/Databricks application development and system design
  • Develop and maintain data models and schemas to support data integration and analysis. 
  • Implement data quality and validation checks to ensure accuracy and consistency of data. 
  • Execution of UT and SIT with business analysts to ensure of high-quality testing
  • Support for UAT with business users
  • Production support and maintenance of application platform

Qualifications:

General:

  • Around 15 years IT industry experience
  • Strong communication skills
  • Agile methodology and SDLC processes
  • Design and Architecture experience
  • Experience working in global delivery model (onshore/offshore/nearshore)
  • Strong problem-solving and analytical skills
  • Self-starter, collaborative team player and works with minimal guidance

Technical Skills:

Mandatory (Strong)

  • Python, SQL server and relational database concepts, Azure Databricks, Snowflake, Scheduler (Autosys/Control-M), ETL, CI/CD

Plus:

  • PySpark
  • Financial systems/capital markets/credit risk/regulatory application development experience