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---

# Salesforce Developer

- **Company:** CareerCircle
- **Location:** Atlanta, GA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $107,900.0 - $195,050.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Data Analysis, Microsoft Azure, Big Data, Health Informatics, Cloud Computing, Cloud Engineering, Code Reuse, Code Review, Collaborative Software, Information Systems, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Mapping, Data Transformation, Data Migration, Data Mining, Data Systems, Database Queries, Electronic Data Interchange (EDI), R (Programming Language), Interoperability, JSON, Python (Programming Language), Microsoft Visio, SQL Azure, Operational Data Store, Scrum Methodology, Power BI, Cloud Services, Salesforce.Com, SAS (Software), SQL Databases, Systems Integration, Tableau (Software), Workflow Management Systems, Extensible Markup Language (XML), Enterprise Data Management, Data Processing, Cloud Platform System, Azure Data Factory, Fast Healthcare Interoperability Resources, Apache Spark, Data Lakes, Pyspark, Information Technology, Health Level Seven International, Enterprise Integration, Integration Frameworks, Data Management, Cloud Migration, Data Pipelines, Devsecops, Databricks
- **Published:** August 8, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/all/all/db2e3c37-da05-4726-b990-f892e9659217

## About the Role

* Bachelor's degree in Computer Science, Data Science, Health Informatics, Public Health Informatics, Information Systems, Engineering, or related discipline.
 * 8+ years of experience supporting public health data integration, interoperability, data engineering, analytics, or modernization initiatives.
 * Hands-on experience developing data pipelines, ETL/ELT processes, APIs, and integration workflows.
 * Strong SQL skills and experience working with relational and analytical data platforms.
 * Hands-on experience with Python, PySpark, R, SAS, or comparable analytics and data engineering languages.
 * Experience supporting cloud-based analytics, data engineering, or modernization environments.
 * Experience supporting large-scale data integration and modernization projects.
 * Strong analytical, troubleshooting, and problem-solving skills.
 * Strong written and verbal communication skills.
 * Ability to work effectively across technical and business teams.

Preferred Qualifications

 * Experience supporting CDC, HHS, or other Federal public health agencies.
 * Experience supporting public health surveillance, laboratory, immunization, healthcare, claims, research, or programmatic data systems.
 * Experience supporting large-scale public health data modernization or enterprise integration initiatives.
 * Experience implementing interoperability solutions using APIs, FHIR, HL7, XML, JSON, or similar exchange frameworks.
 * Experience supporting CDC modernization initiatives involving 1CDP (Palantir Foundry), EDAV, Azure, Databricks, or similar enterprise analytics environments.
 * Experience migrating SAS-based analytics and reporting processes to Python, R, Spark, Databricks, or cloud-native platforms.
 * Experience with Databricks, Azure Data Factory, Delta Lake, Medallion Architecture, Azure SQL, and related data engineering technologies.
 * Experience supporting cloud migration, enterprise integration, and modernization efforts.
 * Experience with Power BI, Tableau, Python, R, SQL, and related analytics technologies.
 * Experience working in Agile, Scrum, DevSecOps, or product-oriented delivery environments.
 * Experience mentoring technical teams and supporting technical solution delivery.
 * Master's degree in Computer Science, Data Science, Health Informatics, Public Health Informatics, Engineering, or related discipline.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares., Data Mapping
Communication
Data Analysis
Financial Data
Data Migration
Detail Oriented
Microsoft Excel
Data Management
Data Extraction
Data Transformation
Reporting Processes
Online Communication
Collaborative Software
Artificial Intelligence
Ability To Meet Deadlines
SQL (Programming Language)
Troubleshooting (Problem Solving)
+0

## Description

PySpark
Planning
Research
Power BI
Equities
DevSecOps
Operations
Leadership
Mentorship
Data Lakes
Databricks
Code Review
Scalability
Market Data
Data Quality
Data Science
Data Exchange
Public Health
SAS (Software)
Data Pipelines
Microsoft Azure
Problem Solving
Data Governance
Data Management
Data Processing
Cloud Migration
Ancient History
Computer Science
Azure Databricks
Data Integration
Data Engineering
Interoperability
Palantir Foundry
Agile Methodology
Program Standards
Azure Data Factory
Health Informatics
Workflow Management
Systems Engineering
Data Transformation
Reporting Processes
Technical Leadership
Technological Change
Enterprise Analytics
Claims Investigations
Cloud-Native Computing
Operational Data Store
Enterprise Integration
Technical Requirements
Technical Documentation
R (Programming Language)
Health And Human Services
Public Health Informatics
SQL (Programming Language)
Verbal Communication Skills
Extract Transform Load (ETL)
Scrum (Software Development)
Python (Programming Language)
Extensible Markup Language (XML)
Troubleshooting (Problem Solving)
Application Programming Interface (API)
Tableau (Business Intelligence Software)
Fast Healthcare Interoperability Resources (FHIR), Leidos is seeking a Public Health Interoperability Lead to support CDC public health data modernization, interoperability, integration, and cloud-based analytics initiatives.

This position serves as the technical lead for public health data exchange, integration, interoperability, and modernization activities across CDC surveillance, research, laboratory, analytics, and operational data systems. The successful candidate will work closely with data managers, analysts, developers, architects, and program stakeholders to design, develop, implement, and support secure, scalable, and efficient data exchange solutions.

The role combines hands-on technical development with technical leadership and supports CDC modernization initiatives involving cloud-based analytics environments, enterprise data platforms, interoperability frameworks, and emerging public health technologies.

*This position requires U.S. Citizenship and is contingent upon award.

**Candidates in the Atlanta, GA area preferred. Remote work permitted with periodic travel to CDC facilities and customer meetings as required.

Primary Responsibilities

Public Health Data Integration and Interoperability

 * Lead interoperability and data integration activities across CDC public health systems, platforms, and partner organizations.
 * Design, develop, implement, and maintain data exchange workflows, APIs, integration services, and data pipelines.
 * Support secure and efficient movement of data between surveillance, research, laboratory, operational, and reporting systems.
 * Develop and maintain interface specifications, data mappings, integration documentation, and technical procedures.
 * Support onboarding and integration of new data sources, systems, and external partners.

Public Health Data Modernization

 * Support CDC data modernization initiatives and enterprise integration efforts.
 * Lead migration of legacy SAS-based analytics, reporting, and data management workflows to modern cloud-based platforms.
 * Support modernization efforts involving 1CDP, EDAV, Databricks, Azure, Python, R, and related technologies.
 * Support implementation of scalable data lake, lakehouse, and modern analytics architectures.
 * Collaborate with Data Governance, Data Quality, and Operations Leads to ensure interoperability solutions align with program standards and requirements.

Solution Development and Engineering

 * Design, develop, test, and maintain integration and interoperability solutions.
 * Develop and optimize ETL/ELT processes, APIs, data transformation workflows, and cloud-native data processing solutions.
 * Develop reusable code, technical documentation, and integration patterns.
 * Troubleshoot and resolve data integration, interoperability, performance, and data exchange issues.
 * Participate in code reviews, testing activities, and deployment processes.
 * Mentor junior developers and technical staff.

Technical Analysis and Coordination

 * Analyze business and technical requirements related to interoperability, integration, and data exchange.
 * Identify technical risks, integration challenges, and opportunities for modernization and process improvement.
 * Coordinate testing, validation, troubleshooting, and resolution of interoperability issues.
 * Participate in architecture reviews, modernization planning activities, and technical working groups.

Stakeholder Engagement and Technical Assistance

 * Coordinate with CDC stakeholders, technical teams, data providers, and external partners.
 * Support technical assistance activities related to interoperability and data exchange.
 * Develop technical documentation, user guidance, and operational procedures.
 * Present technical recommendations, architecture approaches, and modernization strategies to leadership and stakeholders., PySpark
Planning
Research
Power BI
Equities
DevSecOps
Operations
Leadership
Mentorship
Data Lakes
Databricks
Code Review
Scalability
Market Data
Data Quality
Data Science
Data Exchange
Public Health
SAS (Software)
Data Pipelines
Microsoft Azure
Problem Solving
Data Governance
Data Management
Data Processing
Cloud Migration
Ancient History
Computer Science
Azure Databricks
Data Integration
Data Engineering
Interoperability
Palantir Foundry
Agile Methodology
Program Standards
Azure Data Factory
Health Informatics
Workflow Management
Systems Engineering
Data Transformation
Reporting Processes
Technical Leadership
Technological Change
Enterprise Analytics
Claims Investigations
Cloud-Native Computing
Operational Data Store
Enterprise Integration
Technical Requirements
Technical Documentation
R (Programming Language)
Health And Human Services
Public Health Informatics
SQL (Programming Language)
Verbal Communication Skills
Extract Transform Load (ETL)
Scrum (Software Development)
Python (Programming Language)
Extensible Markup Language (XML)
Troubleshooting (Problem Solving)
Application Programming Interface (API)
Tableau (Business Intelligence Software)
Fast Healthcare Interoperability Resources (FHIR)
+0

Salesforce Developer
WFM Real-time Analyst
Actalent

Grayslake, IL*Remote

Five9
Coaching
Visionary
Scheduling
Management
Innovation
Forecasting
Communication
Service Level
Microsoft Excel
Problem Solving
Microsoft Visio
On-Time Performance
Workforce Management
Call Center Experience
Artificial Intelligence
Contact Center Operations
Engineering Design Process
+0
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