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Freelance Azure Data Engineer Jobs in Anderson, SC

Modern Azure Data Stack Leadership Lead the strategy, design, and engineering of Canal's modern Azure data ecosystem using next-generation tools and Medallion Architecture, including: Implementing ...

Modern Azure Data Stack Leadership Lead the strategy, design, and engineering of Canal's modern Azure data ecosystem using next-generation tools and Medallion Architecture, including: Implementing ...

Modern Azure Data Stack Leadership Lead the strategy, design, and engineering of Canal's modern Azure data ecosystem using next-generation tools and Medallion Architecture, including: Implementing ...

Cloud Engineer

Greenville, SC

$52.50 - $70/hr

... Azure ensuring efficient data storage, security compliance, and optimal system performance by developing, deploying, and debugging cloud-based application while collaborating with stakeholders to ...

Cloud Engineer

Greenville, SC · On-site

$52.50 - $70/hr

... Azure ensuring efficient data storage, security compliance, and optimal system performance by developing, deploying, and debugging cloud-based application while collaborating with stakeholders to ...

Infrastructure & Systems Administration: · M365 & Azure Management: Serve as the primary ... Implement and manage IAM, MFA, and privileged access controls to protect sensitive data. · Threat ...

New

Exposure to data and BI tools (such as Databricks, Power BI, or similar) is considered a plus, with ... Cloud platforms such as AWS or Azure . Automated testing concepts Ways of Working & Mindset

Support and manage client cloud services (e.g., Microsoft 365, AWS, Azure, Google Cloud) and ... Regularly test and verify backup systems and procedures to ensure data integrity and the ability to ...

... data encryption. * Conduct regular audits of build processes to ensure they meet compliance ... Proficiency with virtualization technologies (VMware, Hyper-V) and cloud platforms (AWS, Azure ...

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Freelance Azure Data Engineer information

See Anderson, SC salary details

$14

$57

$80

How much do freelance azure data engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for freelance azure data engineer in Anderson, SC is $57.65, according to ZipRecruiter salary data. Most workers in this role earn between $49.09 and $64.90 per hour, depending on experience, location, and employer.

What does a freelance Azure Data Engineer do?

A Freelance Azure Data Engineer is a professional who designs, builds, and maintains data solutions on Microsoft Azure for various clients or organizations on a contract or project basis. Their responsibilities include developing data pipelines, managing data storage, ensuring data security, and optimizing data processes using Azure services like Azure Data Factory, Azure SQL Database, and Azure Databricks. They often work independently, collaborating with clients to understand requirements and deliver scalable, cloud-based data solutions. This role requires strong knowledge of cloud computing, data engineering best practices, and Microsoft Azure's suite of data tools.

What are the key skills and qualifications needed to thrive as a freelance Azure Data Engineer?

To thrive as a Freelance Azure Data Engineer, you need expertise in data modeling, ETL development, and a strong grasp of cloud data architectures, typically supported by a degree in computer science or related fields. Familiarity with Microsoft Azure data services (such as Azure Data Factory, Synapse Analytics, and Azure SQL Database), proficiency in SQL, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, effective communication, and the ability to work independently distinguish top freelancers in this role. These competencies are crucial for delivering scalable, efficient, and reliable data solutions that meet diverse client needs in dynamic project environments.

What are some common challenges faced by freelance Azure Data Engineers when working with multiple clients?

Freelance Azure Data Engineers often face challenges such as managing diverse client requirements, adapting to different data architectures, and ensuring data security across various environments. Balancing multiple projects can require strong time management and communication skills, especially when clients have overlapping deadlines or use different Azure services. Effective documentation and proactive communication with client teams are essential to align expectations and deliver consistent, high-quality solutions.

What is the difference between Freelance Azure Data Engineer vs Azure Data Analyst?

AspectFreelance Azure Data EngineerAzure Data Analyst
CredentialsAzure certifications, SQL, data engineering skillsAzure certifications, Power BI, data analysis skills
Work EnvironmentProject-based, remote or on-site, client-specificProject-based or full-time, remote or on-site, client or internal teams
Industry UsageUsed across industries for building data pipelines and infrastructureUsed for interpreting data, creating reports, and visualizations

Freelance Azure Data Engineers focus on designing and implementing data infrastructure using Azure, while Azure Data Analysts primarily analyze data and create visual reports. Both roles require Azure certifications but serve different functions in data management and analysis.

What are popular job titles related to Freelance Azure Data Engineer jobs in Anderson, SC?

For Freelance Azure Data Engineer jobs in Anderson, SC, the most frequently searched job titles are:

ETL Lead

Greenville, SC • On-site

Delan Associates, Inc
Engineering Professional Services • 51 - 200 employees

Contractor

Posted 24 days ago


Job description

Job Tittle: ETL Lead | Insurance Domain

Job Location: Green Ville , SC (Onsite)

Duration : 6+ Months contract

Visa: USC and GC

Years of Exp: 12+


Key Responsibilities

Production Support, Operations & Reliability

The ETL Team Lead owns end-to-end operational support for Canal's existing data stack:

Ensure success of day-to-day production Operations.

Monitor daily ETL loads across SQL jobs, DHIC (GW Data Hub and Info Center) and legacy SSIS packages.

Work with AMS team where necessary to troubleshoot pipeline failures, performance issues, schema mismatches, permissions issues, and cloud resource failures.

Work with AMS team where necessary to perform root-cause analysis and to implement permanent fixes.

Ensure SLA adherence and on-time delivery of critical reporting datasets for scheduled ETL jobs .

Provide direction for both AMS and ETL Developers for Legacy & Current ETL maintenance.

Refactor or retire outdated or redundant ETL processes.

Maintain and improve existing pipelines that utilize the following technologies:

Microsoft SQL Server Database programming

T-SQL Scripting

SQL Server Integration Services

Microsoft PowerShell

Guidewire Data Hub and Info Center

Oracle Database programming

Oracle PL-SQL Scripting

SAP BODS (SAP BusinessObjects Data Services)

PostgreSQL Scripting

Operational Excellence

Work with AMS team to assist with the creation and/or enhancement of operational runbooks, SOPs, monitoring dashboards, and incident response workflows.

Partner with other IT operational segments, business SMEs, and AMS team to minimize downtime and to ensure that business SLAs are met.

Improve upon existing, as well as implement new proactive for daily processing.

Business Continuity

Work with AMS team to ensure development support coverage for critical data pipelines (rotation-based).

Support month-end and quarter-end financial reporting cycles.

Coordinate production releases and validate deployments.

The ETL Tech Lead will become the steady-state technical owner of the entire data operations layer during the Canal modernization journey.

Technical Leadership & Collaboration

Serve as technical lead guiding onshore/offshore developers.

Review code, enforce best practices, and mentor junior engineers.

Partner with Scrum Masters, Project Mangers, Enterprise Architecture, QA Automation, Change Management, and AMS support teams.

Data Ingestion, ETL/ELT Development & Optimization

Develop reusable ingestion patterns for Guidewire DataHub and InfoCenter, HubSpot, Telematics, and other facets of the business.

Work with Canal Architects to modernize existing ETL workloads using Delta Lake, Medallion Architecture, and Fabric Lakehouse.

Build scalable data ingestion pipelines using potential upcoming technology (Azure Data Factory, MS Fabric , Databricks, Synapse Pipelines, etc.).

Work to bring in Internal and External integrations data into the platform.

Real-Time, Streaming & Event-Driven Engineering

Proven experience designing and implementing real-time data pipelines using Event Hub, Fabric Real-Time Analytics, Databricks Structured Streaming, and KQL-based event processing.

Develop and enable real-time operational insights and automation capabilities-including Telematics alerting, FNOL automation, and fraud/VNOS/VNOP detection-through event-driven architectures and streaming analytics.

Modern Azure Data Stack Leadership

Lead the strategy, design, and engineering of Canal's modern Azure data ecosystem using next-generation tools and Medallion Architecture, including:

Implementing Medallion Architecture (Bronze/Silver/Gold) across Fabric Lakehouse, Warehouse, Eventhouse, and KQL Database.

Leveraging Delta tables with schema enforcement, ACID compliance, and versioning.

Building ingestion and transformation pipelines using Dataflows Gen2, Fabric Pipelines, and Notebook-based ETL.

Enabling real-time analytics using RTA, EventStreams, and Event Hub.

Driving notebook-based transformations and advanced engineering using Databricks and Synapse runtimes.

Data Modeling, Curation & Governance

Develop curated, analytics-ready datasets to support Power BI, operational reporting, and advanced analytics use cases.

Assist Canal architect with implementation of Data Governance tools.

Establish robust data quality, validation, alerting, and observability frameworks to maintain accuracy, consistency, and trust in enterprise data.

AI/ML Data Enablement (Optional)

Prepare ML-ready datasets for pricing, risk, fraud detection, underwriting, claims leakage, and predictive insights

Employment Type: CONTRACTOR