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Internship Azure Data Engineer Jobs in Altamonte Springs, FL

VHB

Data Architect

Orlando, FL · On-site

$59.50 - $76.50/hr

Advanced knowledge of Python and C# programming, preferably in the context of Azure Functions. * Experience building ETL/ELT pipelines using Azure Data Factory, Azure Synapse Pipelines, or similar ...

RiseIT Solutions

Data Quality Engineer

Orlando, FL

$120K/yr

Experience with Cloud Data Warehouse products such as Snowflake or Azure Synapse * Experience with ... Experience programming in SQL with ability to develop complex queries against large disparate data ...

Stellar IT Group

Senior Data Analyst

Altamonte Springs, FL · On-site

$80K - $101K/yr

... engineering role) with strong SQL expertise and experience in Snowflake data warehousing, ETL ... Hands-on Snowflake experience. * ETL/ELT development experience (Azure Data Factory preferred;

AgileEngine

Senior Data Engineer ID71671

Orlando, FL · On-site

$99K - $134K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to architect, build, and scale a modern ... or Azure). - Exposure to message streaming tech like Apache Kafka or AWS Kinesis. PERKS AND ...

AgileEngine

Senior Data Engineer ID71671

Orlando, FL · On-site

$98K - $134K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to architect, build, and scale a modern ... or Azure). - Exposure to message streaming tech like Apache Kafka or AWS Kinesis. PERKS AND ...

OneBlood

Database Administrator III

Orlando, FL

Azure Data Engineer Associate or AWS equivalent * Oracle Certified Professional (OCP) * Oracle GoldenGate certification preferred KNOWLEDGE, SKILLS AND ABILITIES: * Ability to organize work for ...

AssistRx

QA Lead, Data & Reporting

Orlando, FL · On-site +1

Working knowledge of Git and Azure DevOps for source control and pipeline-integrated test execution. * Experience with testing data models, data integrity and normalization rules, and testing data ...

OneBlood

Database Admin III

Orlando, FL · On-site +1

Azure Data Engineer Associate or AWS equivalent * Oracle Certified Professional (OCP) * Oracle GoldenGate certification preferred KNOWLEDGE, SKILLS AND ABILITIES: * Ability to organize work for ...

AssistRx

QA Lead, Data & Reporting

Orlando, FL · On-site

Working knowledge of Git and Azure DevOps for source control and pipeline-integrated test execution. * Experience with testing data models, data integrity and normalization rules, and testing data ...

krg technology inc

Azure Architect

Orlando, FL · Remote

$59.25 - $77.25/hr

... Data protection etc. Experience in configuring RBAC for Azure Resource Groups Experience in ... and DevOps (preferred) Additional Information All your information will be kept confidential ...

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Showing results 21-40

All JobsAzure Data Engineer JobsInternship Azure Data Engineer JobsInternship Azure Data Engineer Jobs in Altamonte Springs, FL

Internship Azure Data Engineer information

See Altamonte Springs, FL salary details

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

As of Aug 20, 2026, the average hourly pay for internship azure data engineer in Altamonte Springs, FL is $23.76, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $26.97 per hour, depending on experience, location, and employer.

What does an internship Azure Data Engineer do?

An Internship Azure Data Engineer assists in designing, building, and maintaining data solutions using Microsoft Azure technologies. Responsibilities typically include working with data pipelines, cloud databases, and tools such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Interns often help with data integration, transformation, and storage tasks, as well as collaborating with senior engineers and stakeholders to support data-driven projects. This role provides valuable exposure to cloud computing, big data, and the practical application of data engineering concepts.

What kinds of projects and technologies can I expect to work with during an internship Azure Data Engineer?

As an Azure Data Engineer intern, you'll typically gain hands-on experience with cloud data solutions, such as building and managing data pipelines using Azure Data Factory, integrating data sources with Azure Databricks or Synapse Analytics, and working with Azure SQL databases. Interns often participate in real-world projects like data migration, data cleansing, and developing dashboards for business insights. You will likely collaborate closely with data scientists, software developers, and business analysts, learning best practices for data security, scalability, and performance in a cloud environment.

What are the key skills and qualifications needed to thrive as an internship Azure Data Engineer, and why are they important?

To thrive as an Internship Azure Data Engineer, you need a solid understanding of data management concepts, SQL, and a background in computer science or a related field. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and tools such as Power BI is typically required, along with a willingness to pursue certifications like Microsoft Certified: Azure Data Engineer Associate. Strong analytical thinking, problem-solving skills, and effective teamwork set candidates apart in this role. These skills are essential to efficiently design, implement, and maintain data solutions that support business intelligence and decision-making in cloud environments.

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

AspectInternship Azure Data EngineerData Analyst Intern
Required CredentialsBasic knowledge of Azure, SQL, and data engineering conceptsBasic understanding of data analysis, Excel, and SQL
Work EnvironmentCloud platforms, data pipelines, and database managementData visualization, reporting, and data interpretation
Employer & Industry UsageTech companies, cloud service providers, data-driven organizationsBusiness, marketing, finance sectors, and consulting firms

Internship Azure Data Engineer roles focus on cloud-based data pipeline development and management using Azure tools, while Data Analyst Internships emphasize data interpretation and reporting. Both roles are entry-level, often require SQL knowledge, and serve data-driven industries, but they differ in technical focus and daily tasks.

What cities near Altamonte Springs, FL are hiring for Internship Azure Data Engineer jobs?

Cities near Altamonte Springs, FL with the most Internship Azure Data Engineer job openings:

Internship Azure Data Engineer jobs near you

Director Marketing Data Engineering

Hilton Grand Vacations, Inc.

Orlando, FL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description


  • Recognition Programs and Rewards
  • Excellent health care options, including medical, dental, and vision
  • A people-first culture
  • Go Hilton: Travel Discounts Program Hilton hotel rates worldwide.
  • Perks at work: Employee Pricing platform
  • Employee Assistance Program that supports your physical and mental well-being.
  • Paid Vacation Time and Paid Sick Days
  • 401(k) program with company match
  • Tuition reimbursement programs
  • Numerous learning and advancement opportunities
  • And more!

Leads the strategy and execution of a modern marketing data ecosystem, consolidating customer and campaign data into an Azure Databricks Lakehouse to power segmentation, personalization, and go-to-market execution.
Owns data pipelines, CDP enablement, and lead management capabilities while modernizing legacy processes and ensuring high-quality, scalable, and reliable data for marketing activation.
Partners cross-functionally to translate business needs into data engineering solutions that drive growth and operational efficiency.
Responsibilities
  • Lead the consolidation of customer and marketing data into an Azure Databricks Lakehouse, ensuring scalability and accessibility
  • Design, build, and oversee data pipelines that integrate CRM, Martech, digital, and analytics data sources
  • Enable CDP capabilities including unified customer profiles, identity resolution, and audience segmentation
  • Support go-to-market execution by delivering reliable data for lead management, campaign activation, and reporting
  • Modernize legacy SQL-based list management processes into automated, governed data workflows
  • Establish and enforce data quality, validation, and testing standards, including ownership of UAT processes
  • Partner cross-functionally with Marketing, Analytics, Data Platform, and Martech teams to align data solutions with business needs
  • Translate marketing and business requirements into scalable data engineering solutions
  • Provide technical leadership while driving measurable business impact through improved data reliability and usability

Qualifications
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
  • Strong experience with Azure Databricks and modern cloud data platforms, including building scalable Lakehouse architectures and data pipelines
  • Proficiency in SQL and PySpark, with the ability to work across both modern big data environments and legacy relational systems
  • Hands-on experience integrating CRM, Martech platforms, and digital data sources into unified data models
  • Deep understanding of marketing data domains, including lead management, customer lifecycle, segmentation, and campaign execution
  • Experience supporting and enabling Customer Data Platforms, identity resolution, and customer 360 initiatives
  • Proven ability to modernize legacy SQL-based workflows and manual list pulls into automated, governed pipelines
  • Familiarity with ETL/ELT tools and orchestration frameworks across both modern and traditional stacks
  • Experience establishing and maintaining data quality, validation, and testing processes across mixed technology environments
  • Knowledge of data governance, access controls, and compliance considerations spanning legacy systems and modern platforms
  • Ability to translate marketing and business requirements into scalable technical solutions across evolving data ecosystems
  • Strong collaboration and communication skills to work effectively with Marketing, Analytics, and Technology stakeholders

It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
  • Advanced degree in a related field or relevant certifications in Azure, Databricks, or data engineering
  • Experience working in a hybrid data environment (Databricks alongside legacy data warehouses such as SQL Server)
  • Background in B2B marketing data ecosystems, including lead routing, scoring, and pipeline attribution
  • Prior experience supporting or implementing enterprise CDP platforms
  • Familiarity with MarTech stack integrations (Google/Adobe Analytics, etc.)
  • Experience with data orchestration and workflow tools (e.g., Azure Data Factory) in production environments
  • Knowledge of real-time or event-driven data processing for marketing use cases
  • Exposure to data privacy regulations and consent management (e.g., GDPR, CCPA) in marketing data workflows
  • Familiarity with Agile delivery models and leading data engineering teams in fast-paced environments
  • Experience influencing or driving data platform modernization initiatives at scale

When you join Hilton Grand Vacations, you join a group of Team Members dedicated to helping Owners and Guests around the world make every vacation they take a memorable one. Hilton Grand Vacations is a leading vacation ownership company bringing our Guests vacation dreams to life.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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