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Azure Data Platform Engineer Jobs in York, PA (NOW HIRING)

The Hershey Company

Platform Engineer

Hershey, PA · On-site

Hershey, PA or Dallas, TX Summary The Platform Engineer, Data & Analytics Platforms runs and ... Own and operate core data platform components (with emphasis on Databricks and supporting Azure ...

Hersheys

Platform Engineer

Hershey, PA · On-site

Hershey, PA or Dallas, TX Summary The Platform Engineer, Data & Analytics Platforms runs and ... Own and operate core data platform components (with emphasis on Databricks and supporting Azure ...

Hershey Company

Platform Engineer

Hershey, PA · On-site

$120 - $170/hr

Hershey, PA or Dallas, TX Summary The Platform Engineer, Data & Analytics Platforms runs and ... Own and operate core data platform components (with emphasis on Databricks and supporting Azure ...

Posted today

DEW Softech, Inc

Data Platform Architect

Harrisburg, PA

$63 - $81/hr

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

New

Judge Group, Inc.

Data Platform Architect

Harrisburg, PA · On-site

$90 - $100/hr

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

A2Zxperts

Data Platform Architect

Harrisburg, PA · Hybrid

$63 - $81/hr

Our client is seeking a Data Platform Architect Location : Harrisburg, PA Type : Contract, Hybrid ... Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of ...

New

System One

Data Engineer - onsite

Hanover, PA · On-site

$110K - $132K/yr

Data Engineer Location: Hanover, MD Type: Contract Compensation: 55-70/hr W-2, depending on ... Design and configure the Azure Synapse environment, including implementing private endpoint ...

System One

Data Engineer - onsite

Hanover, PA · On-site

$110K - $132K/yr

Data Engineer Location: Hanover, MD Type: Contract Compensation: 55-70/hr W-2, depending on ... Design and configure the Azure Synapse environment, including implementing private endpoint ...

System One

Data Engineer - onsite

Hanover, PA · On-site

$110K - $132K/yr

Data Engineer Location: Hanover, MD Type: Contract Compensation: 55-70/hr W-2, depending on ... Design and configure the Azure Synapse environment, including implementing private endpoint ...

System One

Data Engineer - onsite

Hanover, PA · On-site

$110K - $132K/yr

Data Engineer Location: Hanover, MD Type: Contract Compensation: 55-70/hr W-2, depending on ... Design and configure the Azure Synapse environment, including implementing private endpoint ...

System One

Data Engineer - onsite

Hanover, PA · On-site

$110K - $132K/yr

Data Engineer Location: Hanover, MD Type: Contract Compensation: 55-70/hr W-2, depending on ... Design and configure the Azure Synapse environment, including implementing private endpoint ...

System One

Data Engineer - onsite

Hanover, PA · On-site

$110K - $132K/yr

Data Engineer Location: Hanover, MD Type: Contract Compensation: 55-70/hr W-2, depending on ... Design and configure the Azure Synapse environment, including implementing private endpoint ...

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All JobsAzure Data Platform Engineer JobsAzure Data Platform Engineer Jobs in York, PA

Azure Data Platform Engineer information

See York, PA salary details

$43.8K

$127.7K

$174.7K

How much do azure data platform engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for azure data platform engineer in York, PA is $127,663.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $135,300.00 per year, depending on experience, location, and employer.

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 York, PA?

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

What job categories do people searching Azure Data Platform Engineer jobs in York, PA look for?

The top searched job categories for Azure Data Platform Engineer jobs in York, PA are:

What cities near York, PA are hiring for Azure Data Platform Engineer jobs?

Cities near York, PA with the most Azure Data Platform Engineer job openings:

Azure Data Platform Engineer jobs near you
Infographic showing various Azure Data Platform Engineer job openings in York, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $127,663 per year, or $61.4 per hour.

Platform Engineer

Hershey, PA • On-site

The Hershey Company

7.5

Company rating: 7.5 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

154th of 443 rated food and drinks producers

People enjoy working here

Good employer

Recommended by students

Learn more about The Hershey Companyexternal

Full-time

Posted 4 days ago

Job description

Location: Hershey, PA or Dallas, TX
Summary
The Platform Engineer, Data & Analytics Platforms runs and continuously improves the enterprise data and analytics platforms that power Hershey's data products. This role focuses on platform operations and enablement-standardizing environments, automating delivery, improving reliability and observability, and reducing time-to-value for Data Product teams across development, test, and production.
The Data Platform Engineer partners with Senior Data Engineers, Solution Architects, the Cloud COE, and Security to define guardrails and operating standards, deliver self-service tooling, and keep the platform cost-effective, secure, observable, reliable, and scalable.
What We Are Building for Hershey
This role supports Hershey's enterprise data strategy by operating and enabling a trusted, governed data platform at scale. The platform team turns one-off solutions into reusable templates, guardrails, and automated workflows-improving reliability, cost transparency, and developer experience so Data Product teams can deliver high-quality data products faster.
Major Duties & Responsibilities
1. Data Platform Components
  • Own and operate core data platform components (with emphasis on Databricks and supporting Azure services) across development, test, and production.
  • Build and maintain CI/CD and environment standardization using Azure DevOps and infrastructure-as-code (e.g., Terraform) to improve consistency, security, and delivery speed.
  • Implement observability (logging, monitoring, alerting, dashboards) and maintain operational runbooks to enable proactive detection and faster recovery.
  • Implement identity/access controls, secrets management, and configuration standards in partnership with the Cloud COE and Security.
  • Plan and execute platform releases and upgrades (libraries, runtimes, clusters/pools) and coordinate change communications to minimize disruption for Data Product teams.

2. Machine Learning Operations (MLOps)
  • Enable MLOps capabilities (e.g., MLflow standards, deployment patterns, automation) in partnership with Data Science and engineering teams.

3. Governance, Quality & Operations
  • Implement governance, security, and compliance standards through platform guardrails (policies, templates, controls) and clear documentation.
  • Support FinOps by monitoring usage, identifying optimization opportunities (clusters, jobs, storage), and improving cost transparency (e.g., tagging and showback/chargeback inputs).
  • Monitor platform health, resolve incidents, perform root-cause analysis, and drive problem management to improve stability and meet agreed service levels.
  • Define, track, and report operational KPIs (availability, performance, deployment frequency, MTTR) and drive continuous improvement through automation and standardization.
  • Provide operational support during standard business hours, with planned maintenance windows and documented support processes (no on-call rotation).

4. Collaboration Across Domains
  • Enable Data Product teams with self-service tooling, reusable patterns/templates, and onboarding/training; manage a clear intake and prioritization process; and partner on platform performance and operational readiness.

Minimum Knowledge, Skills, and Abilities
  • Cloud & Platforms: Hands-on administration and operations for Databricks and Azure data platform services. Strong understanding of environment provisioning, secrets management, identity/access, and networking patterns. Infrastructure-as-code experience (e.g., Terraform) is strongly preferred.
  • Programming & Development: Proficient in Python and SQL for automation and troubleshooting; experience with modular coding, APIs, scripting, and source control (Git).
  • DevOps: Experience implementing CI/CD in Azure DevOps, managing releases, and improving deployment safety through testing, approvals, and consistent branching/versioning practices.
  • MLOps (nice to have): Familiarity with MLflow and operational patterns for model lifecycle management.
  • Operations & Observability: Experience implementing monitoring/alerting and using operational metrics to drive reliability improvements; familiarity with incident management and root-cause analysis.
  • Collaboration & Communication: Communicate best practices and technical solutions effectively across teams.

Experience & Education
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field
  • 2-5 years in platform engineering roles.

#LI-MH1
#LI-Onsite
The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey Company is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's race, color, gender, age, national origin, religion, citizenship status, marital status, sexual orientation, gender identity, transgender status, physical or mental disability, protected veteran status, genetic information, pregnancy, or any other categories protected by applicable federal, state or local laws.
The Hershey Company is an Equal Opportunity Employer - Minority/Female/Disabled/Protected Veterans.
You may request a reasonable accommodation if you are unable or limited in your ability to use or access our online application process as a result of a disability.
You can request an accommodation via phone or email.
To request an accommodation via phone, please call +1 877-804-1794 and leave a voicemail with your contact information. You may also email a request for accommodation to ApplicationHelp@hersheys.com. Please be sure to include "Accommodation Needed" in the subject line. This will ensure that your email is routed to the appropriate contact who will handle your request.

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