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Associate Data Engineer Jobs in Duncan, SC (NOW HIRING)

... associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and ... Design and implement dimensional data models using star schema and best-practice modeling ...

... engineering and installation services for some of the largest telecom customers in the world. Our ... associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and ...

... DATA Department Code: 807X Account Code: 701000 Department Name: Engineering Account Name: Non-Plant Exempt POSITION PURPOSE The Design Engineer is an entry-level position where associates are ...

... associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and ... Build and maintain data-driven tools and reporting to support production and engineering decisions

... associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and ... Build and maintain data-driven tools and reporting to support production and engineering decisions

Showing results 21-40

Associate Data Engineer information

See Duncan, SC salary details

$9

$17

$28

How much do associate data engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for associate data engineer in Duncan, SC is $17.28, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $18.41 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are popular job titles related to Associate Data Engineer jobs in Duncan, SC?

For Associate Data Engineer jobs in Duncan, SC, the most frequently searched job titles are:

What cities near Duncan, SC are hiring for Associate Data Engineer jobs?

Cities near Duncan, SC with the most Associate Data Engineer job openings:

Infographic showing various Associate Data Engineer job openings in Duncan, SC as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $35,940 per year, or $17.3 per hour.

Senior Power BI Developer

AFL

Duncan, SC โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago


Job description

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $3B in revenue, and employ approximately 12,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity.
What We Offer:
  • Flexible time off policy
  • 401K Company match (up to 4% - dollar for dollar)
  • Professional development, training, and tuition reimbursement programs
  • Excellent medical, dental, vision, and life insurance policy options
  • Opportunities for career advancement with an industry leading company!

We are seeking an experienced Senior Power BI Developer to join our Enterprise Information Management (EIM) team. This role is responsible for designing, developing, optimizing, and supporting enterprise reporting and analytics solutions across the Microsoft data platform. The ideal candidate is a highly skilled Power BI professional with deep expertise in semantic modeling, DAX, SQL, data warehousing, and cloud-based analytics platforms including Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, and SQL Server. This position will be able to work remotely from anywhere in the United States while supporting primarily East Coast hours.
This individual will partner closely with business stakeholders, business analysts, data engineers, and architects to deliver scalable, secure, and high-performing reporting solutions that enable data-driven decision making. The role requires strong technical expertise, hands-on development experience, performance tuning capabilities, and a passion for building enterprise-scale business intelligence solutions.
Key Responsibilities
Power BI Development & Architecture
  • Design, develop, deploy, and maintain enterprise Power BI solutions, including: Semantic Models, Dashboards, Reports, Paginated Reports, KPI Scorecards, Self-Service Analytics Solutions
  • Translate business requirements into scalable reporting and analytics solutions.
  • Design and implement dimensional data models using star schema and best-practice modeling techniques.
  • Develop advanced DAX calculations, measures, calculation groups, KPIs, and time intelligence solutions.
  • Create efficient Power Query (M) transformations to cleanse, standardize, and prepare data for reporting.
  • Build executive, operational, and analytical dashboards that provide actionable insights.

Data Modeling & Analytics
  • Design and maintain enterprise semantic models and reusable business metrics.
  • Implement fact and dimension models, hierarchies, aggregations, and composite models.
  • Develop analytical solutions supporting operational reporting, performance management, and business intelligence initiatives.
  • Ensure consistency of KPI definitions and data calculations across the reporting ecosystem.
  • Support self-service reporting while maintaining governance and data quality standards.

Performance Optimization
  • Evaluate and optimize report, dataset, and model performance.Utilize tools such as: DAX Studio, Tabular Editor, Power BI Performance Analyzer, VertiPaq Analyzer
  • Troubleshoot refresh, query, gateway, and report performance issues.
  • Implement incremental refresh, aggregations, DirectLake, Import, DirectQuery, and Hybrid architectures where appropriate.

Data Integration & Engineering Collaboration
  • Collaborate with data engineers to design and support data pipelines and analytics solutions.
  • Work with data sourced from: Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, SQL Server, Excel and other enterprise systems
  • Support data validation, reconciliation, and quality assurance activities.
  • Assist with migration and modernization initiatives involving cloud and enterprise data platforms.

Governance & Security
  • Implement and maintain: Row-Level Security (RLS), Object-Level Security (OLS), Workspace Governance, Dataset Certification, Access Management Standards
  • Support deployment pipelines and release management processes across Development, Test, and Production environments.
  • Ensure compliance with enterprise BI governance standards, naming conventions, and development best practices.
  • Maintain technical documentation, data dictionaries, and reporting standards.

Stakeholder Engagement
  • Partner with business stakeholders to gather requirements and define reporting solutions.
  • Facilitate workshops and requirements discovery sessions.
  • Provide guidance on KPI development, reporting strategy, and visualization best practices.
  • Present findings and recommendations to technical and non-technical audiences.
  • Serve as a subject matter expert for Power BI and enterprise reporting.

Mentoring & Leadership
  • Provide technical leadership and mentorship to junior and mid-level developers.
  • Conduct design reviews and code reviews.
  • Promote Power BI development standards and best practices across the organization.
  • Contribute to strategic planning and continuous improvement of the analytics platform.

Required Qualifications
Experience
  • 8+ years of experience in Business Intelligence, Data Analytics, or Data Warehousing.
  • 5+ years of hands-on Power BI development experience.
  • Experience delivering enterprise-scale reporting and analytics solutions.
  • Experience working directly with business stakeholders and technical teams.

Technical Skills
Power BI
  • Expert-level experience with:
    • Power BI Desktop
    • Power BI Service
    • Semantic Models
    • Power Query (M)
    • DAX
    • Paginated Reports
    • Deployment Pipelines
    • Power BI Administration

Advanced Power BI Performance Tuning
  • DAX Studio
  • Tabular Editor
  • Performance Analyzer
  • VertiPaq Optimization
  • Calculation Groups
  • Incremental Refresh
  • Composite Models
  • DirectQuery and DirectLake Architectures

Data Modeling
  • Dimensional Modeling
  • Star Schema Design
  • Fact and Dimension Modeling
  • Many-to-Many Relationships
  • Data Warehousing Concepts
  • Slowly Changing Dimensions (SCDs)

Database & Query Development
  • Advanced SQL development skills:
    • Complex joins
    • Window functions
    • Common Table Expressions (CTEs)
    • Stored Procedures
    • Query Optimization
    • Data Validation

Azure & Microsoft Data Platform
Strong experience with:
  • Azure Data Factory (ADF)
  • Azure Synapse Analytics
  • Microsoft Fabric
  • SQL Server

Preferred Qualifications
Experience with one or more of the following:
Azure Data Lake Storage (ADLS)
  • Fabric Lakehouse
  • Fabric Warehouse
  • Fabric Data Pipelines
  • DirectLake Semantic Models
  • Power Platform
  • Python for analytics or automation
  • Azure DevOps
  • Git-based source control
  • CI/CD pipelines and automated deployments
  • Help advance the organization's modern analytics strategy through the effective use of Microsoft Fabric, Azure Data Factory, Azure Synapse, and Power BI.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.