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Emr Developer Jobs in Pennsylvania (NOW HIRING)

Vinsari LLC

Data Architect

Reading, PA · On-site

$61.25 - $78.75/hr

AWS, Snowflake, S3, EMR, Glue, Redshift Data Engineering: Spark, Kafka, Airflow, Talend, dbt, Python, SQL Databases: SQL Server, PostgreSQL, Aurora, DynamoDB Architecture: Data Lake/Lakehouse, Event ...

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Emr Developer information

What is the difference between Emr Developer vs Data Analyst?

AspectEmr DeveloperData Analyst
Required SkillsSQL, scripting, ETL, cloud platformsData visualization, statistical analysis, SQL
Work EnvironmentHealthcare IT, cloud environmentsBusiness intelligence, finance, marketing
CertificationsEMR-specific certifications, cloud certificationsNone specific, often BI or analytics certifications

Emr Developers focus on building and maintaining electronic medical record systems, often working within healthcare IT and cloud environments. Data Analysts interpret data to support business decisions, working across various industries. While both roles require SQL and data handling skills, Emr Developers emphasize EMR systems and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

What is an EMR Developer?

An EMR Developer is a software professional who specializes in designing, developing, and maintaining Electronic Medical Record (EMR) systems used in healthcare settings. They work to ensure that these systems are secure, user-friendly, and compliant with health regulations such as HIPAA. EMR Developers often collaborate with healthcare providers to customize workflows, integrate third-party applications, and maintain data accuracy and security. Their role is crucial in helping healthcare organizations streamline patient data management and improve care delivery.

What are some common challenges EMR developers face when integrating third-party systems with electronic medical record platforms?

EMR Developers often encounter challenges when integrating third-party systems, such as ensuring data interoperability, maintaining compliance with healthcare regulations like HIPAA, and dealing with varying standards across platforms (e.g., HL7, FHIR). Additionally, balancing legacy system compatibility with new technologies can be complex. Successful integration requires strong collaboration with clinical, compliance, and IT teams to ensure a seamless and secure data flow that supports healthcare operations.

What are the key skills and qualifications needed to thrive as an EMR developer?

To thrive as an EMR Developer, you need strong programming skills (such as Java, C#, or Python), knowledge of healthcare standards like HL7 or FHIR, and a background in software engineering or computer science. Familiarity with electronic medical record (EMR) systems, database management, and tools like Epic, Cerner, or Meditech is typically required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and effective communication with clinical staff and IT teams are essential soft skills. These skills ensure the development of secure, compliant, and user-friendly EMR solutions that support clinical workflows and patient care.
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Emr Developer jobs near you
Infographic showing various Emr Developer job openings in Pennsylvania as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Data Architect

Vinsari LLC

Reading, PA • On-site

$61.25 - $78.75/hr

Other

Posted 2 days ago

New

Job description

Data Architect with AWS, Snowflake, S3, EMR, Glue, Redshift - Reading PA - Hybrid work - weekly 3 days onsite - Locals only at this time

Requisition Name: Data Architect

Start Date: 9/7/2026

Duration: 29 Weeks

Services Location: PA/Reading

Description Of Services:
Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. 10+ years of experience in data architecture, data engineering, or enterprise data platform development. 5+ years of experience leading data engineering projects and delivering enterprise-scale data solutions. Strong expertise in data modeling, data warehousing, ETL/ELT, and cloud-based data platforms. Experience designing distributed, scalable, and high-performance data architectures. Strong understanding of Agile development methodologies, CI/CD, and DevOps practices. Excellent communication, stakeholder management, and leadership skills. Preferred Technical Skills Cloud & Data Platforms: AWS, Snowflake, S3, EMR, Glue, Redshift Data Engineering: Spark, Kafka, Airflow, Talend, dbt, Python, SQL Databases: SQL Server, PostgreSQL, Aurora, DynamoDB Architecture: Data Lake/Lakehouse, Event-Driven Architecture, Microservices, REST APIs, Data Modeling DevOps: Kubernetes, Docker, Git, CI/CD, Infrastructure as Code

Deliverables:
Define and maintain enterprise data architecture, including conceptual, logical, and physical data models. Design scalable cloud-based data platforms, data warehouses, and data lake solutions to support business intelligence, analytics, and AI initiatives. Lead the design and implementation of data integration, ETL/ELT, streaming, and batch processing solutions. Partner with business stakeholders, product managers, architects, and engineering teams to translate business requirements into scalable technical solutions. Ensure data platforms are reliable, performant, secure, and highly available through monitoring, automation, and operational best practices. Evaluate emerging technologies and recommend improvements to modernize the enterprise data ecosystem. Collaborate with cross-functional teams to support AI/ML, advanced analytics, and enterprise reporting initiatives.

Need Word Format Resume, Below details, Work Authorization Copy (If H1B / EAD).

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