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

SANTEE COOPER

DATA SCIENTIST

Moncks Corner, SC · On-site

$84K - $105K/yr

Provides technical leadership and mentor junior engineers; document frameworks and patterns ... Hands on with Azure/AWS/GCP; familiarity with storage, compute, IAM, networking basics. * Data ...

Forge Forward, Inc.

Engineer, Open

Charleston, SC · On-site

$125 - $150/hr

Lead hybrid cloud migrations from on‑premises data centers into Azure * Engineer and maintain ... Mentor junior engineers and contribute to cloud engineering best practices Desired Skills

Munich Re

Data Scientist

Charleston, SC · On-site +1

... Azure DevOps. Skills / Knowledge / Experience: * Develop and project manage modeling projects and ... Mentor junior team members. * Data Scientist: 2 or more years of data science/predictive analytics ...

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Junior Azure Data Engineer information

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$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.

Data Engineering Manager (Data Platform & Systems Integration)

Maxwood Furniture

Charleston, SC • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

Data Engineering Manager (Data Platform & Systems Integration)
Maxwood Furniture is a rapidly growing furniture company with an expanding portfolio of brands including Max & Lily, Plank + Beam, and Maxtrix. Since launching over two decades ago, we've built multiple sales channels across DTC websites and third-party marketplaces. We're passionate about designing inspiring, on-trend furniture that brings customers' home décor dreams to life.
We are seeking a new member to join our Technology team. Are you ready to be part of something amazing?
Role Overview
The Data Engineering Manager is a senior technical leader who sets architectural direction and holds accountability for two closely related engineering teams: data engineering and systems integration. This person doesn't build alone - they lead engineers who do the hands-on work, ensuring the right architecture is in place and the team has what it needs to execute. This is a high-impact position within a fast-growing organization where the right person can make a measurable difference in how Maxwood's technology stack scales across brands.
Responsibilities
  • Set architectural direction for Maxwood's cloud data platform, including data warehouse design, medallion layer structure, and AI-readiness, and guide the data engineering team in executing against it
  • Establish standards for ELT/ETL pipeline design across data sources including Shopify, marketplaces, ERP, and third-party SaaS platforms, and hold the team accountable to them
  • Drive data modeling decisions that serve BI, analytics, and AI initiatives, in partnership with BI Analysts and AI Specialists
  • Own the technical relationship with the data platform (Microsoft Fabric), including resource management, capacity planning, and optimization strategy
  • Set and enforce data quality, governance, and documentation standards across the team
  • Define the integration architecture connecting Shopify Plus to Maxwood's SaaS ecosystem (platforms like Gorgias, Salsify, ParcelLab, Klaviyo, and Constructor) and direct integrations engineers in building and maintaining those connections
  • Establish integration patterns, API standards, and error handling frameworks for the team to follow
  • Review and approve integration designs before build, ensuring scalability, reliability, and maintainability
  • Directly manage a team of data and integrations engineers, including a DBA, a Data Engineer, and Software Integrations Engineers
  • Provide technical mentorship, career development, and performance management across two engineering disciplines
  • Partner with Product Owners on capacity and prioritization without owning the project management function
  • Support special projects as needed
What Success Looks Like
  • A data engineering team operating with clear architectural standards, reliable pipelines, and a well-governed data platform
  • An integrations engineering team with consistent patterns, documented designs, and a stable, low-maintenance SaaS ecosystem
  • Engineers across both disciplines who are growing, engaged, and producing their best work
  • Architecture decisions that are well-reasoned, documented, and understood across the broader technology organization
Requirements
  • 5+ years of experience in data engineering, systems architecture, or a closely related technical discipline
  • Demonstrated ability to set architectural direction and lead engineers in executing against it, not just doing the work yourself
  • Hands-on experience with cloud-based data warehouse architecture (Microsoft Fabric, Snowflake, Databricks, Synapse, BigQuery, or similar)
  • Deep proficiency with SQL and data modeling concepts (star schema, medallion architecture, dimensional modeling)
  • Experience establishing standards and governance for ELT/ETL pipelines at scale
  • Experience directing third-party system integration work via REST APIs and iPaaS platforms
  • 2+ years managing engineers across different technical disciplines, with a track record of mentorship and team development
  • Preferred: Microsoft Fabric or Azure ecosystem experience (Lakehouses, Dataflows Gen2, Azure Data Factory, Power BI)
  • Preferred: iPaaS platform experience (Celigo, Boomi, MuleSoft, Workato, or similar)
  • Preferred: ecommerce or multi-brand retail technology background
  • Preferred: dbt or similar data transformation framework experience
Core Competencies
  • Detail-oriented and reliable
  • Hands-on and hardworking
  • Clear communicator
  • Works well independently and as part of a team
Benefits
  • 401(k) matching
  • Dental Insurance
  • Employee Discount
  • Flexible Schedule
  • Flexible Spending Account
  • Health Insurance
  • Life Insurance
  • Vision Insurance
  • Paid Time Off

Work Location: Daniel Island, SC (Charleston area). Hybrid work option available after 90 days of successful in-office performance.
Department Development/IT Locations HQ

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