1

Azure Data Engineer Jobs in Newark, DE (NOW HIRING)

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Role Overview The 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 ...

Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Data Innovation Lab Data Engineer Fellowship * Join an innovative, like-minded team that focuses on ... Create and manage Cloud services (Azure, AWS) to support all aspects of our tech products ...

.NET Developer (GC or USC)

Newark, DE · On-site

$53.75 - $66.75/hr

NET Developer with experience in C#, Azure, and Data Analytics to contribute to their growing team. Responsibilities : • C#, data structures, and basic algorithms. • Implied: .Net and Visual ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Aberdeen Proving Ground, MD · Hybrid

$122K - $147K/yr

Data Engineer Location: 6560 Surveillance Loop, Building 6007, Aberdeen Proving Ground, Maryland ... Experience with cloud platforms (e.g., AWS, Azure, GCP). Knowledge of containerization and ...

Lead Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Lead Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Lead Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Lead Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

next page

Showing results 1-20

Azure Data Engineer information

See Newark, DE salary details

$43.8K

$127.8K

$174.9K

How much do azure data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for azure data engineer in Newark, DE is $127,816.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,500.00 per year, depending on experience, location, and employer.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data infrastructure across industries.

What are popular job titles related to Azure Data Engineer jobs in Newark, DE?

For Azure Data Engineer jobs in Newark, DE, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in Newark, DE look for?

The top searched job categories for Azure Data Engineer jobs in Newark, DE are:

What cities near Newark, DE are hiring for Azure Data Engineer jobs?

Cities near Newark, DE with the most Azure Data Engineer job openings:

Infographic showing various Azure Data Engineer job openings in Newark, DE as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $127,816 per year, or $61.5 per hour.

Azure Data Engineer Senior

Amerihealth Caritas

Newtown Square, PA • Hybrid

Full-time

Medical, Retirement, PTO

Re-posted 12 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.


What AmeriHealth Caritas employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom