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

Comcast

Data Engineer

West Chester, PA · On-site +1

$108K - $130K/yr

... Engineer to join our Data Product Engineering team responsible for managing and evolving the ... Build and enhance cloud-native data solutions using AWS, Databricks, and PySpark. * Develop and ...

New

Dlapiper

Data Engineer

Wilmington, DE

$111K - $133K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Judge Group, Inc.

Data Engineer

Wilmington, DE · On-site

$80 - $85/hr

Role: Senior Data Engineer Duration: 6-12+ months RTH Location: Wilmington, Delaware Interview ... Databricks), Airflow, Relational Databases Nice to Haves: Snowflake, NoSql Databases TDD, CI/CD ...

Judge Group, Inc.

Sr. Data Engineer

Wilmington, DE · On-site

$102K - $139K/yr

Our client is seeking an experienced Senior Data Engineer to join their growing data team. This is ... Experience working with Apache Spark and Databricks * Proficiency in workflow orchestration tools ...

J.P. Morgan

Lead Software Engineer

Wilmington, DE

As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, you are an integral ... Certification in Databricks * Experience in observability and production management tools (ex.

JP Morgan Chase

Lead Software Engineer

Wilmington, DE · On-site

As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, you are an integral ... Certification in Databricks * Experience in observability and production management tools (ex.

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Showing results 21-40

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.

Azure Data Engineer Senior

AmeriHealth Caritas Health Plan

Newtown Square, PA • On-site

$109K - $131K/yr

Full-time

Medical, Retirement, PTO

Re-posted 9 days ago

AmeriHealth Caritas rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

129th of 310 rated insurance

Job description

THIS IS A HYBRID, OFFICE BASED POSITION WORKING AT OUR ELLIS PRESERVE OFFICE LOCATED IN NEWTOWN SQUARE, PA.
WE WILL NOT CONSIDER REMOTE CANDIDATES!
Role Overview
The Senior Azure Data Engineer designs, builds, and optimizes large scale cloud data solutions on Microsoft Azure. The role requires deep hands on expertise with modern ingestion frameworks to ingest diverse data sources, on distributed compute, real-time streaming, and dimensional modeling, combined with strong Agile delivery practices and leadership in guiding junior developers. Experience with GenAI technologies is increasingly important as the organization evolves toward intelligent data products.
Work Arrangement
  • This a HYBRID office based position working in our Ellis Preserve office located in Newtown Square, PA. Core office days are Tuesday, Wednesday, and Thursday.

Responsibilities
  • Architecture & Implementation: Design and implement scalable engineering solutions using Azure Data Factory, Azure Databricks, Azure Event Hubs, Kafka, HVR, Snowflake, and Azure Data Lake Storage
  • Pipeline Development: Build robust ETL/ELT pipelines for batch and streaming workloads using PySpark and SQL, ensuring fault tolerance, schema evolution handling, and idempotency
  • API Ingestion: Implement reliable API data ingestion patterns including authentication, pagination, rate limit handling, retries, and schema mapping
  • Real time Integration: Design and operate event driven ingestion and processing using Event Hubs and Kafka, and integrate CDC solutions using HVR
  • Performance Optimization: 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 for backlog management, Git workflows, YAML pipelines, automated testing, and repeatable deployments across environments
  • Code Quality & Mentorship: Perform code reviews, enforce coding standards and best practices, and mentor junior developers to raise team capability
  • Gen AI Enablement: Apply Gen AI knowledge to accelerate development (code generation, data documentation, prompt engineering for data tasks) and to integrate AI driven data products where applicable
  • Stakeholder Collaboration: Work with product owners, data scientists, analysts, and architects to translate business requirements into prioritized user stories and deliverables in Agile sprints
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Identify and tackle issues concerning data management to improve data quality
  • Understand and implement best practices in management of data, including master data, reference data, metadata, data quality and lineage

Education and Experience
  • Master's degree in computer science, Information Systems, Software Engineering
  • Technical: Hands on experience with Azure Data Factory (6+ years), Azure Databricks (6+ years), HVR (3+ years), Kafka (5+ years), Event Hubs (3+ years), Snowflake (5+ years), Azure Data Lake Storage, PySpark (10+ years), and SQL (12+ years)
  • Modeling: Strong expertise in dimensional modeling, SCD implementation, and data warehouse best practices
  • Agile Delivery: Proven experience delivering data projects in Agile (Scrum or Kanban) teams
  • DevOps: Practical experience with Azure DevOps for CI/CD, branching strategies, and pipeline automation
  • Performance: Demonstrated ability to profile and optimize Databricks jobs and large scale data processing workloads
  • Integration: Experience ingesting data from REST APIs and external systems, handling schema drift and error handling
  • Leadership: Track record of conducting code reviews, providing technical guidance, and mentoring junior engineers
  • Communication: Clear communicator able to present technical tradeoffs to technical and non technical stakeholders
  • Experience with Collibra Data governance features
  • Familiarity with MLOps patterns and integrating data platforms with ML pipelines
  • Azure certifications such as DP 700, AZ 400, or Databricks Data Engineer certification
  • Prior work with cost optimization and observability tools for cloud data platforms
  • Practical experience applying Gen AI (LLMs, embeddings, retrieval augmentation) to data engineering workflows]

Other Skills
  • Problem solving: Analytical approach to diagnose performance and data quality issues
  • Collaboration: Strong team player who partners effectively across product, analytics, and platform teams
  • Mentorship: Patient, constructive coach who elevates code quality and engineering practices
  • Adaptability: Comfortable with shifting priorities and iterative delivery in fast moving environments

Our Comprehensive Benefits Package
Flexible work solutions including remote options, hybrid work schedules, Competitive pay, Paid time off including holidays and volunteer events, Health insurance coverage for you and your dependents on Day 1, 401(k) Tuition reimbursement and more.
Your career starts now. We're looking for the next generation of health care leaders.
At AmeriHealth Caritas, we're passionate about helping people get care, stay well and build healthy communities. As one of the nation's leaders in health care solutions, we offer our associates the opportunity to impact the lives of millions of people through our national footprint of products, services and award-winning programs. AmeriHealth Caritas is seeking talented, passionate individuals to join our team. Together we can build healthier communities. If you want to make a difference, we'd like to hear from you.
Headquartered in Newtown Square, PA, AmeriHealth Caritas is a mission-driven organization with more than 30 years of experience. We deliver comprehensive, outcomes-driven care to those who need it most. We offer integrated managed care products, pharmaceutical benefit management and specialty pharmacy services, behavioral health services, and other administrative services.
Discover more about us at www.amerihealthcaritas.com.

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