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Azure Data Engineer Jobs in Lutz, FL (NOW HIRING)

Azure Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Intellisoft Technologies is seeking a proficient Azure Data Engineer to design, build, and maintain scalable data pipelines and architectures on the Azure cloud platform. The role involves ...

Data Engineer - Manager

Tampa, FL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

PCA Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

Data Engineer - Senior Associate

Tampa, FL

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Data Engineering Lead- Finance

Tampa, FL · On-site

$108K - $129K/yr

Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). * Proven track record of managing stakeholder expectations and delivering data solutions aligned with ...

Data Engineer - Senior Manager

Tampa, FL

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Layer Engineer

Tampa, FL · On-site

$108K - $129K/yr

Azure Data Engineer Associate (Preferred, Not Required) Clearance Requirement An active TS/SCI security clearance is required for on-site duty location. This is intended to describe the general ...

Data Engineer

Tampa, FL · On-site

$112K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain ... Design and implement cloud-native storage and compute solutions within AWS or Azure environments.

Data Engineer

Tampa, FL · On-site

$112K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain ... Design and implement cloud-native storage and compute solutions within AWS or Azure environments.

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an ... Experience with cloud platforms (AWS / Azure / GCP) * Knowledge of Big Data technologies (Spark ...

Data Engineer

Tampa, FL

$108K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

A data engineer has a deep understanding of performance optimization and data pipelining. In ... Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service ...

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Azure Data Engineer information

See Lutz, FL salary details

$40.5K

$118K

$161.4K

How much do azure data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for azure data engineer in Lutz, FL is $117,954.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $125,000.00 per year, depending on experience, location, and employer.

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

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

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

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management and analytics.

What are popular job titles related to Azure Data Engineer jobs in Lutz, FL?

For Azure Data Engineer jobs in Lutz, FL, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in Lutz, FL look for?

The top searched job categories for Azure Data Engineer jobs in Lutz, FL are:

What cities near Lutz, FL are hiring for Azure Data Engineer jobs?

Cities near Lutz, FL with the most Azure Data Engineer job openings:

Infographic showing various Azure Data Engineer job openings in Lutz, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $117,954 per year, or $56.7 per hour.

$108K - $129K/yr

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Intellisoft Technologies is seeking a proficient Azure Data Engineer to design, build, and maintain scalable data pipelines and architectures on the Azure cloud platform. The role involves collaborating with data scientists and business stakeholders to deliver high-quality data solutions that enable data-driven decision-making.
Responsibilities:
• Design, develop, and optimize end-to-end data pipelines and ETL/ELT processes leveraging Azure Data services and frameworks.
• Build scalable data solutions using Azure Databricks, PySpark, and Snowflake to process both batch and real-time data workloads.
• Develop and maintain data models and schemas in relational and NoSQL databases such as Postgres and MongoDB.
• Write efficient, reusable, and maintainable code primarily in Python and SQL to transform and load data across various systems.
• Collaborate with cross-functional teams including data scientists, analysts, and business users to gather requirements and deliver data solutions that meet business needs.
• Monitor data pipeline performance and implement improvements for reliability, scalability, and optimization.
• Ensure data quality, governance, and compliance within all data engineering efforts.
• Troubleshoot and resolve data-related issues, working closely with cloud infrastructure and platform teams.
• Document data architecture, workflows, and processes to support ongoing maintenance and knowledge sharing.
Qualifications:
Required:
• Hands-on experience with data engineering tools and technologies including Python, SQL, Postgres, MongoDB, PySpark, Databricks, and Snowflake.
• Design, develop, and optimize end-to-end data pipelines and ETL/ELT processes leveraging Azure Data services and frameworks.
• Build scalable data solutions using Azure Databricks, PySpark, and Snowflake to process both batch and real-time data workloads.
• Develop and maintain data models and schemas in relational and NoSQL databases such as Postgres and MongoDB.
• Write efficient, reusable, and maintainable code primarily in Python and SQL to transform and load data across various systems.
• Collaborate with cross-functional teams including data scientists, analysts, and business users to gather requirements and deliver data solutions that meet business needs.
• Monitor data pipeline performance and implement improvements for reliability, scalability, and optimization.
• Ensure data quality, governance, and compliance within all data engineering efforts.
• Troubleshoot and resolve data-related issues, working closely with cloud infrastructure and platform teams.
• Document data architecture, workflows, and processes to support ongoing maintenance and knowledge sharing.
Company:
Intellisoft Technologies is an information technology company offering big data and clouding solutions. Founded in 1997, the company is headquartered in Irving, USA, with a team of 201-500 employees. The company is currently Growth Stage.