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Azure Data Platform Engineer Jobs in Pennsylvania

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

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

Data Platform Architect

Harrisburg, PA · On-site

$63 - $81/hr

Platform Engineering Build MVP and mature cloud data platform over time Set engineering standards ... Data Platform & Services experience including platforms Snowflake, Databricks, AWS, Azure ...

Data Platform Architect

Harrisburg, PA · On-site

$63 - $81/hr

The position establishes engineering practices, implementation standards, automation, and shared ... Data Platform & Services experience including platforms Snowflake, Databricks, AWS, Azure ...

The position establishes engineering practices implementation standards automation and shared ... Data Platform Services experience including platforms Snowflake Databricks AWS Azure containerized ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Pittsburgh, PA Work Mode : 5 Days Onsite Join a high performing data engineering team responsible for building modern, cloud native data platforms on Microsoft Azure . This role offers the ...

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

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 ...

This role is responsible for defining platform architecture, establishing engineering standards ... Enterprise Cloud Platforms (AWS and Azure): 5+ years * Databricks: 3+ years preferred * Snowflake ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Seeking an experienced Data Engineer to join a high-performing data engineering team responsible for building modern, cloud-native data platforms on Microsoft Azure. * This role will focus on ...

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Azure Data Platform Engineer information

What is an Azure Data Platform Engineer?

An Azure Data Platform Engineer is a technology professional who specializes in designing, building, and managing data solutions on Microsoft Azure. They work with services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and other cloud-based data technologies to ensure efficient data storage, processing, integration, and analytics. Their role often involves implementing data pipelines, managing data security, optimizing performance, and supporting data-driven decision-making for organizations. Azure Data Platform Engineers typically collaborate with data scientists, analysts, and software developers to deliver robust and scalable data solutions.

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

To thrive as an Azure Data Platform Engineer, you need expertise in data modeling, SQL, cloud architecture, and a strong understanding of Microsoft Azure services, typically supported by a degree in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Databricks, and certifications like Microsoft Certified: Azure Data Engineer Associate are valuable. Strong analytical thinking, problem-solving skills, and effective communication set top performers apart in this role. These skills ensure the efficient design, deployment, and management of robust data solutions that support business intelligence and analytics needs.

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

Azure Data Platform Engineers often encounter challenges when consolidating data from diverse sources, such as differing data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically involves designing robust data pipelines using Azure Data Factory or Synapse, implementing effective data transformation and cleansing routines, and ensuring secure, compliant data movement. Collaborating closely with data architects and business analysts is essential to align technical solutions with organizational data governance and integration requirements.

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

AspectAzure Data Platform EngineerData Engineer
CertificationsAzure certifications (e.g., DP-203)General data engineering certifications (e.g., Google Cloud, AWS)
Work EnvironmentPrimarily cloud-based, Azure ecosystemOn-premises, cloud, or hybrid environments
Industry UsageOrganizations using Microsoft AzureVarious industries, broader data infrastructure roles
FocusDesigning, implementing, and managing Azure data solutionsBuilding and maintaining data pipelines and architectures

The Azure Data Platform Engineer specializes in Azure cloud data solutions, while the Data Engineer has a broader scope across different platforms and environments. Both roles require strong data management skills, but the Azure Data Platform Engineer focuses specifically on Azure services and certifications.

What are popular job titles related to Azure Data Platform Engineer jobs in Pennsylvania?

For Azure Data Platform Engineer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Azure Data Platform Engineer jobs in Pennsylvania look for?

The top searched job categories for Azure Data Platform Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Azure Data Platform Engineer jobs?

Cities in Pennsylvania with the most Azure Data Platform Engineer job openings:

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.


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