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Remote Data Platform Engineer Jobs in Philadelphia, PA

Sr Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

ICyte is the first and only platform that unites the financial, operational, and commercial data ... Hands-on Snowflake engineering: Design, build, optimize, and operate Snowflake data models ...

Apply now: Cloud Platform DevOps Engineer, Remote/Hybrid. Start date is ASAP for this contract position. Job Title: Cloud Platform DevOps Engineer Location-Type: East Coast Remote/Hybrid to ...

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Remote Data Platform Engineer information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

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

As of Sep 8, 2026, the average yearly pay for remote data platform engineer in Philadelphia, PA is $130,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 per year, depending on experience, location, and employer.

What is a remote data platform engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.

What are the key skills and qualifications needed to thrive as a remote data platform engineer?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a remote data platform engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

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

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the most commonly searched types of Data Platform Engineer jobs in Philadelphia, PA?

The most popular types of Data Platform Engineer jobs in Philadelphia, PA are:

What are popular job titles related to Remote Data Platform Engineer jobs in Philadelphia, PA?

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

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

The top searched job categories for Remote Data Platform Engineer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Data Platform Engineer jobs?

Cities near Philadelphia, PA with the most Remote Data Platform Engineer job openings:

Infographic showing various Remote Data Platform Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $130,895 per year, or $62.9 per hour.

Senior Data Platform Engineer - Azure Databricks

Amerihealth Caritas

Newtown Square, PA • On-site, Remote

$57.50 - $74.50/hr

Full-time

Medical, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


AmeriHealth Caritas rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

134th of 315 rated insurance


Job description

For roles that are 100% remote or hybrid, you must have access to a reliable high-speed internet connection to support daily job responsibilities. A minimum bandwidth of 50 Mbps download and 5 Mbps upload is required. Those fully remote associates residing in states where service is required by contract, law, or regulation will be allowed to submit for reimbursement.

Role Overview

We are seeking a skilled Senior Data Platform Engineer with hands-on experience in Azure Databricks and a strong background in healthcare environment. The role is responsible for designing, building, and optimizing our enterprise data platform. The ideal candidate will be responsible for maintaining scalable data processing environments in Azure, while ensuring seamless integration across Azure Databricks, DevOps, HVR/ Fivetran, Snowflake, Collibra, Power BI, and Tableau ecosystems.

The ideal candidate will have deep experience in cloud engineering at least in one of the major cloud providers (Azure, AWS or GCP), strong hand-on experience of Kubernetes, containers, serverless and modern architectures, experience with Infrastructure as code (Terraform/ Ansible), solid understanding of networking security, IAM, monitoring and automation. This role bridges data architecture, data engineering, and data governance - enabling secure, scalable, efficient and resilient cloud data platform foundation.

Work Arrangement

  • This is a hybrid, office based position working at our Ellis Preserve office in Newtown Square, PA. Office days are Tuesdays, Wednesday, and Thursday; Remote days are Monday and Friday. WE WILL NOT CONSIDER REMOTE CANDIDATES FOR THIS POSITION!

Responsibilties

Azure Databricks Platform Engineering

  • Design, deploy, and maintain scalable Databricks clusters and workspaces within Azure
  • Automate cluster management, job orchestration, and environment provisioning using Infrastructure-as-Code (IaC) tools (e.g., Terraform, ARM, or Bicep)
  • Optimize Spark jobs, delta pipelines, and data lakehouse performance
  • Implement robust CI/CD pipelines for Databricks workflows and notebooks
  • Manage environment configurations, libraries, secrets, and access controls

Integration & DevOps

  • Implement and manage Azure DevOps pipelines for Databricks code deployment, testing, and release management
  • Develop reusable CI/CD templates for data ingestion and transformation workflows
  • Collaborate with development teams to enable version control, code quality checks, and automated testing


Data Transformation & Orchestration

  • Support and integrate Databricks and/or dbt (Data Build Tool) workflows within Databricks for modular SQL-based transformations
  • Ensure efficient orchestration of ETL/ELT pipelines and integration with data lake and data warehouse environments

Data Governance & Metadata Management

  • Integrate Databricks and Azure data assets with Collibra for data cataloging, lineage tracking, and governance
  • Work closely with data governance teams to ensure compliance with data quality and metadata management standards


Analytics & Visualization Integration

  • Enable secure and performant data access for Power BI and Tableau through optimized data models and APIs
  • Collaborate with BI developers to design efficient datasets and dashboards

Team Collaboration

  • Work with stakeholders, including the Product, Data and Design teams to assist with platform-related technical issues and support their data needs
  • Strong team collaboration and experience working with remote teams
  • Mentor and guide other platform engineers through reviews, training etc

Compliance & Best Practices

  • Support implementing data quality, validation, and governance processes to ensure compliance with healthcare regulations (e.g., HIPAA)
  • Understand and deploy best practices in data engineering

Education and Experience

  • Bachelor's or Master's degree in computer science, Information Technology, Data Engineering, or related field
  • At least four to seven (4 - 7) years of hands-on experience with Azure Databricks in enterprise environments
  • Strong proficiency in PySpark, SQL, and data lakehouse architecture
  • Deep understanding of Azure ecosystem - including Azure Data Lake, ARO, AKS, Key Vault, Azure Ansible and Azure DevOps
  • Experience with CI/CD implementation using Azure DevOps
  • Working knowledge of pyspark, Collibra, Power BI, and Tableau integration workflows
  • Familiarity with data governance, security, and compliance best practices
  • Proficiency in scripting languages (Python, Bash, PowerShell)
  • Excellent problem-solving and cross-functional collaboration skills
  • Experience with Terraform or other IaC tools for Azure
  • Familiarity with Delta Live Tables, Unity Catalog and MLflow

Other Preferred Experience

  • Familiarity with DQ frameworks, or observability tools in Azure/Databricks
  • Knowledge of data governance, metadata management, and audit controls in a healthcare setting
  • Experience with Lakehouse architecture and medallion design patterns
  • Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203) or Azure Solutions Architect Expert
  • Exposure to Agile/Scrum delivery models

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, 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.

Employment Type: FULL_TIME

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