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Junior Data Engineering Jobs in Ladson, SC (NOW HIRING)

SANTEE COOPER

DATA SCIENTIST

Moncks Corner, SC · On-site

$84K - $105K/yr

Leads complex, enterprise-scale data engineering initiatives, architect cloud-native warehousing solutions, and mentor junior staff. You will design end-to-end ETL/ELT and analytics platforms using ...

PEMCCO

Senior Data Scientist

Hanahan, SC · On-site

$101.32 - $161.60/hr

Collaborate with engineers, analysts, and program personnel to define data requirements and develop ... Provide technical guidance and mentorship to junior analysts and data scientists * Document ...

PEMCCO, Inc.

Senior Data Scientist

Hanahan, SC

$48.56 - $77.69/hr

Collaborate with engineers, analysts, and program personnel to define data requirements and develop ... Provide technical guidance and mentorship to junior analysts and data scientists * Document ...

PEMCCO, Inc.

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

Collaborate with engineers, analysts, and program personnel to define data requirements and develop ... Provide technical guidance and mentorship to junior analysts and data scientists * Document ...

PEMCCO

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

Collaborate with engineers, analysts, and program personnel to define data requirements and develop ... Provide technical guidance and mentorship to junior analysts and data scientists * Document ...

Google Inc.

Data Center Facility Manager

Ridgeville, SC · On-site

$138 - $200/hr

Ridgeville, SC, USA Experience driving progress, solving problems, and mentoring more junior team ... Bachelor's degree in a related engineering field or equivalent experience. * Experience in mission ...

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Junior Data Engineering information

See Ladson, SC salary details

$31.5K

$67.5K

$102.9K

How much do junior data engineering jobs pay per year?

As of Aug 26, 2026, the average yearly pay for junior data engineering 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 does a junior data engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

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

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What are some typical challenges a junior data engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

What are popular job titles related to Junior Data Engineering jobs in Ladson, SC?

For Junior Data Engineering jobs in Ladson, SC, the most frequently searched job titles are:

What cities near Ladson, SC are hiring for Junior Data Engineering jobs?

Cities near Ladson, SC with the most Junior Data Engineering job openings:

Junior Data Engineering jobs near you

Lead - Biomedical Data Factory Team

Charleston, SC

Medical University of South Carolina
See more jobs at Medical University of South Carolinaexternal

Full-time

Re-posted 20 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/PHIcompliant synthetic data pipelines, modeltraining 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 highperformance data pipelines meeting PI/PHI compliance standards.

  • Audit, monitor, and improve data quality, performance, and lineage.

  • Support modeltraining workflows with highintegrity 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

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 regulateddata architectures preferred.

  • Leadership: Ability to mentor junior engineers/architects and coordinate technical backlog or system maintenance cycles.

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

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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