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Databricks Engineer Jobs in New Castle, DE (NOW HIRING)

JP Morgan Chase

Software Engineer III - Databricks

Wilmington, DE · On-site

$55.75 - $75/hr

  • Medical

  • Retirement

As a Software Engineer III - Databricks at JPMorgan Chase within the Corporate Sector's Enterprise Technology team, you serve as a seasoned member of an agile team to design and deliver trusted ...

Tror AI for everyone

Databricks Lead

Chester, PA · On-site

$57 - $74.50/hr

Title -Databricks Lead Location - Chester, Newtown Square PA Duration - Contract/FTE The Role ... Experience cloud/on-prem devops tools for orchestration, scheduling, logging, required for data ...

Amerihealth Caritas

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

  • Medical

  • Retirement

  • PTO

Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle optimization, Delta Lake optimizations) to meet SLAs and cost targets * DevOps & CI/CD: Use Azure DevOps ...

AmeriHealth Caritas Health Plan

Data Engineer

Newtown Square, PA · On-site

$109K - $131K/yr

  • Medical

  • Retirement

  • PTO

Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle optimization, Delta Lake optimizations) to meet SLAs and cost targets * DevOps & CI/CD: Use Azure DevOps ...

Amerihealth Caritas

Azure Data Engineer Senior

Newtown Square, PA · Hybrid

$109K - $131K/yr

  • Medical

  • Retirement

  • PTO

Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle optimization, Delta Lake optimizations) to meet SLAs and cost targets * DevOps & CI/CD: Use Azure DevOps ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in New Castle, DE

Databricks Engineer information

See New Castle, DE salary details

$57.7K

$108.3K

$196.9K

How much do databricks engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for databricks engineer in New Castle, DE is $108,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $128,500.00 per year, depending on experience, location, and employer.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in New Castle, DE?

For Databricks Engineer jobs in New Castle, DE, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in New Castle, DE look for?

The top searched job categories for Databricks Engineer jobs in New Castle, DE are:

What cities near New Castle, DE are hiring for Databricks Engineer jobs?

Cities near New Castle, DE with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in New Castle, DE as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $108,251 per year, or $52 per hour.

AWS Databricks Engineer

R2 Technologies Corporation

Wilmington, DE • On-site

Full-time

Re-posted 27 days ago

Job description

Overview:
AWS Databricks Engineer -12+yrs- Wilmington, DE (Day 1 Onsite)
Job Description
• 12+ years of overall experience in data engineering, cloud architecture, or analytics platforms.
• Strong expertise in AWS big-data stack and Databricks Lakehouse.
• Hands-on experience building enterprise-grade data platforms and multi-zone Lakehouse architectures.
Deep knowledge of:
o Spark optimization
o Delta Lake internals
o Data quality & observability
• Strong understanding of zero-trust security, compliance, an

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