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Junior Azure Data Engineer Jobs in Ladson, SC (NOW HIRING)

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Full Stack Developer- Top Secret

Charleston, SC

Azure Fundamentals or Azure Solutions Architect * Databricks Data Engineer Certification (desired) * ITIL Foundation Certification Key Attributes * Strong problem-solving mindset in bridging legacy ...

Greystar

Data Engineering Intern

Charleston, SC · On-site

$31 - $45/hr

Experience with Azure DevOps, Slack, Microsoft Teams, Cursor, Claude and GitHub Copilot Enrolled in a graduate degree program in Data Engineering, Data Analytics or a related field of study ...

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Atlas Tech

Observability Engineer

North Charleston, SC · On-site

$50.25 - $69/hr

Bachelor's degree in Computer Science or related field * 5+ years' experience in data engineering roles * Experience with CI/CD tools (GitLab CI, Azure DevOps) * Proficiency with version control ...

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All JobsAzure Data Engineer JobsJunior Azure Data Engineer JobsJunior Azure Data Engineer Jobs in Ladson, SC

Junior Azure Data Engineer information

See Ladson, SC salary details

$31.5K

$67.5K

$102.9K

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

As of Sep 7, 2026, the average yearly pay for junior azure data engineer in Ladson, SC is $67,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,600.00 and $75,200.00 per year, depending on experience, location, and employer.

What is a junior Azure Data engineer?

A Junior Azure Data Engineer is an entry-level role focused on designing, building, and maintaining data solutions on Microsoft Azure. They assist in data ingestion, transformation, and storage using Azure services like Azure Data Factory, Synapse Analytics, and Databricks. Their responsibilities typically include data pipeline development, ETL processes, and ensuring data security and compliance. They often work under senior engineers to optimize data solutions and troubleshoot issues. This role requires knowledge of cloud computing, SQL, and data processing frameworks.

What does a junior Azure Data engineer do?

As a Junior Azure Data Engineer, your day-to-day tasks might include assisting with the design, development, and maintenance of data pipelines using Azure Data Factory, writing SQL queries for data extraction or transformation, and performing routine data validation to ensure data integrity. You’ll often collaborate with senior engineers, data analysts, and business stakeholders to gather requirements and deliver accurate data solutions aligned with company needs. In addition, you may assist in monitoring cloud resources, troubleshooting data flow issues, and updating documentation. This role is a great entry point for developing your skills in cloud data engineering and building a solid foundation for future growth.

What are the key skills and qualifications needed to thrive as a junior Azure Data engineer?

To excel as a Junior Azure Data Engineer, you need foundational knowledge of data modeling, ETL processes, SQL, and cloud platforms, typically backed by a degree in computer science or a related field. Familiarity with Microsoft Azure services such as Azure Data Factory, Azure SQL Database, and basic understanding of data lake storage, along with entry-level certifications like Microsoft Azure Fundamentals, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you effectively translate business requirements into technical solutions and collaborate with team members. These competencies are crucial for ensuring reliable data pipeline development, supporting data-driven decision-making, and growing within the data engineering profession.

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Junior Azure Data Engineer jobs near you
Infographic showing various Junior Azure Data Engineer job openings in Ladson, SC 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 $67,478 per year, or $32.4 per hour.

Lead - Biomedical Data Factory Team

Medical University of South Carolina

Charleston, SC • On-site

$150 - $200/hr

Other

Re-posted 2 days ago

Job description

Job Description Summary

The Lead of the Clinical Data Factory supports the data ecosystem that powers MUSC’s AI development workflows. This role ensures PI/PHI‑compliant synthetic data pipelines, model‑training readiness, system stability, and data availability by working w/IS architecture to keep the mini-arch ahead of major changes for continued workflow. The Lead works closely with Central IS Architecture and Security, and the AI Center to maintain an emergent AI architecture that reduces load on central IT while enabling rapid experimentation and compliant model development.

Entity University Medical Associates (UMA) Only Employees and Financials

Worker Type Employee

Worker Sub-Type Classified

Cost Center CC005532 EVPAA - Center for Artificial Intelligence

Pay Rate Type Salary

Pay Grade Health-34

Scheduled Weekly Hours 40

Work Shift

Job Description

Primary Areas of Responsibility (with % Allocation)1. Synthetic Data Pipeline Management & Compliance – 40%
  • Maintain high‑performance data pipelines meeting PI/PHI compliance standards.
  • Audit, monitor, and improve data quality, performance, and lineage.
  • Support model‑training workflows with high‑integrity synthetic datasets.
  • Ensure operational compliance, and follow through with IS Strategies and Approaches
2. System Architecture, Maintenance & Enhancement – 25%
  • Oversee lifecycle maintenance of AI Center Built Tools, patching, and upgrades to mini data infrastructure.
  • Partner with enterprise architecture teams to ensure alignment with evolving systems.
  • Communicate risks, dependencies, and required enhancements proactively.
3. Team Leadership & Technical Guidance – 20%
  • Lead and mentor Jr. Data Engineers and Jr. Architects.
  • Maintain documentation, operational workflows, and technical standards.
  • Coordinate team activities to meet service and uptime commitments.
4. Integration with AI Project Teams – 10%
  • Collaborate with AI Strategy & Ops, Research and AI Incubation teams to ensure data needs are met.
  • Provide technical support for data provisioning, synthetic layering, and model experimentation for the AI Center activities.
5. Governance, Quality & Model Integrity Support – 5%
  • Maintain data governance practices that support ethical model development.
  • Support model integrity monitoring and data risk mitigation in conjunction w/IS Guidance and Policy
Key Annual Performance Objectives
  • Meet synthetic data KPIs for quality, performance, and service uptime.
  • Reduce dependency on core IT architecture for AI model development.
  • Maintain compliance and operational stability of the synthetic data ecosystem.
Additional Job Description

If you like working with energetic enthusiastic individuals, you will enjoy your career with us!

Required Qualifications
  • Education: Master’s degree required.
  • Experience: 2–3 years of relevant experience with some leadership exposure, ideally in data engineering, architecture, synthetic data systems, or compliant data environments.
  • Technical Capability: Experience in data engineering, synthetic data pipelines, ETL/ELT workflows, or regulated healthcare data systems.
  • Compliance Knowledge: Familiarity with PI/PHI handling, HIPAA, or regulated‑data architectures preferred.
  • Leadership: Ability to mentor junior engineers/architects and coordinate technical backlog or system maintenance cycles.

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.

Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees

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