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Data Modeling Internship Jobs in Florida (NOW HIRING)

Sellers & Associates

Data Analyst

Plant City, FL · On-site

Build and maintain data models, reporting structures, and data relationships that support analytics ... Strong internship or project experience may also be considered. * Experience applying analytical ...

Sellers & Associates

Data Analyst

Plant City, FL · On-site

Build and maintain data models, reporting structures, and data relationships that support analytics ... Strong internship or project experience may also be considered. * Experience applying analytical ...

Harvard Maintenance, Inc

AI Engineering Intern-38031

Miami, FL · On-site

$16 - $20.75/hr

This is a hands-on, data-centric internship: you will write Python scripts, work with operational and financial data, build dashboards and analytical models, and learn how AI is applied to accelerate ...

RELX

Manager Software Engineering

Boca Raton, FL · On-site

$118K - $219K/yr

... interns needed to support, run, and change activities in the software development life cycle ... Knowledge in normalized/dimensional data modeling principles and their application to complex ...

LexisNexis

Manager Software Engineering

Boca Raton, FL · On-site

$118K - $219K/yr

... interns needed to support, run, and change activities in the software development life cycle ... data modeling principles and their application to complex business needs. • Expertise in ...

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Data Modeling Internship information

What is a Data Modeling Internship?

A Data Modeling Internship is a temporary position for students or recent graduates to gain practical experience in designing and structuring data for use in databases and information systems. Interns typically work with data architects and analysts to create data models, which help organize and manage data efficiently for businesses. This role often involves learning about different data modeling techniques, using specialized software tools, and supporting projects that improve data quality and accessibility. The internship provides valuable exposure to real-world data challenges and prepares individuals for future roles in data management and analytics.

What is the difference between Data Modeling Internship vs Data Analyst Internship?

AspectData Modeling InternshipData Analyst Internship
Required SkillsData modeling, database design, SQL, data warehousingData analysis, Excel, SQL, visualization tools
Work EnvironmentData teams, IT departments, database environmentsBusiness units, analytics teams, reporting environments
Industry UsageTech, finance, healthcare, where data structure design is keyMarketing, finance, retail, focusing on data insights

While both internships involve working with data, a Data Modeling Internship focuses on designing and structuring data systems, whereas a Data Analyst Internship emphasizes analyzing data to generate insights. The choice depends on whether you prefer working on database architecture or data interpretation.

What are the key skills and qualifications needed to thrive as a Data Modeling Intern, and why are they important?

To thrive as a Data Modeling Intern, you need a solid understanding of database concepts, data structures, and proficiency in SQL, often supported by coursework in computer science or data analytics. Familiarity with data modeling tools like ERwin, Microsoft Visio, or Lucidchart, and experience with relational database management systems (RDBMS) are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate with teams and translate business requirements into data models. These skills are essential for creating accurate, scalable data models that support efficient data storage, retrieval, and analysis in organizational projects.

What types of projects and responsibilities can I expect during a Data Modeling Internship?

As a Data Modeling Intern, you can expect to work closely with data engineers and analysts to design, build, and refine data models that support business intelligence and analytics initiatives. Typical responsibilities include gathering requirements, creating entity-relationship diagrams, normalizing databases, and assisting in the documentation of data flows. You'll also have opportunities to participate in meetings with cross-functional teams, learn best practices for database design, and contribute to ongoing data quality improvement efforts. This hands-on experience provides valuable exposure to real-world data challenges and helps build a strong foundation for a career in data management.
What are popular job titles related to Data Modeling Internship jobs in Florida? For Data Modeling Internship jobs in Florida, the most frequently searched job titles are:
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Data Modeling Internship jobs near you
Data Architect - Technology Architecture

Data Architect - Technology Architecture

Publix Super Markets, Inc.

Lakeland, FL • On-site

$10K - $15K/mo

Full-time

Posted 10 days ago

Publix rating

6.8

Company rating: 6.8 out of 10

Based on 4,611 frontline employees who took The Breakroom Quiz

25th of 119 rated grocery stores

Job description

Description
Publix Super Markets, Inc., the largest employee-owned company in the U.S., is driven by a dynamic technology team of 2,300+ professionals delivering innovative solutions to 1,400+ stores and 200,000+ associates across 8 states.
From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level-internships through technical leadership.
Join a company consistently ranked among Fortune's "100 Best Companies to Work For" and help us build more than great subs-build the future of technology at Publix.
We're hiring a Data Architect to join our Technology Architecture team. In this role, you'll partner with cross-functional teams to define strategy, develop standards, and implement data technologies. This role is a high impact, hands-on position in enabling data solutions.
Location: Hybrid (Lakeland, FL)
Work Model: Enjoy the best of both worlds-collaborate in person and innovate remotely.
Why Join Us?
  • Hybrid Flexibility: Work remotely when you need focus time and join us onsite for high-impact collaboration and brainstorming sessions.
  • Operational Efficiency: Ensure technology solutions support efficient workflows and enable automation to improve operational effectiveness.
  • Cutting-Edge AI Projects: Drive innovation in AI platforms, integrating advanced tools and frameworks to solve complex business challenges.
  • Empowered Culture: We value autonomy, creativity, and continuous learning-your ideas shape the future of technology in our organization.

Your Impact
  • Develop and deliver long-term strategic goals for enterprise-wide data architectural vision and standards across a diverse organization
  • Responsible for the architecture and design of unstructured and structured big data analytic and processing platforms
  • Research existing and new features of databases and data store technologies to develop implementation strategies to support modern workloads
  • Design strategies and set standards for corporate Business Intelligence (BI) reporting, analysis, and tools management
  • Design strategies and set standards for data pipelines that include real-time, micro-batch, and batch scenarios
  • Research existing and new features of BI tools to develop implementation strategies to provide agile BI reporting and self-service BI to business users
  • Create and maintain conceptual, logical, and physical data models along with corresponding metadata
  • Create and maintain the standards, guidelines, and best practices for data modeling and database design
  • Collaborate with business users and Enterprise Data Warehouse (EDW) team members to define the future strategy and direction for data warehousing, business intelligence, and analytic reporting for the enterprise
  • Collaborate with teams in the enterprise to realize more value out of analytics by identifying gaps and opportunities, recommending changes, and improvements to help achieve information goals
  • Collaborate with teams to promote data governance and the use of centralized metrics and definitions
  • Provide domain training, mentoring and knowledge transfer to the I/S department and business users
  • Work with IT teams to ensure quality and compliance with Enterprise Data Architecture by participating in data analysis/design activities

Additional Information
Your application may have additional steps that you will need to complete in order to remain eligible for consideration. Please be sure to monitor your email, including your spam folder, on a daily basis for critical, time-sensitive emails that could require action within 24-48 hours.
***Relocation/Household Good Shipment Allowance will NOT be provided.***
Year End Bonus
As a year-end bonus to associates, Publix issues one month's extra pay (pro-rated in the first year) each year if associate remains employed through issue date of the bonus check that year. This is calculated as a 13th month of pay in the Potential Annual Pay with Bonus line above.
Required Qualifications
  • Bachelor's degree in computer science or a related analytical field or equivalent experience
  • 8+ years of experience leading the design and development of enterprise class applications and solutions.
  • 8+ years' experience with relational database management systems (SQL Server, Oracle, DB2, etc.),
  • 5+ years of hands-on experience in a large enterprise data warehouse environment,
  • 4+ years' experience as a Data Architect in a large enterprise data warehouse environment,
  • 4+ years of hands-on relational and dimensional data modeling experience in a large enterprise environment,
  • 4+ years' experience implementing solutions using an enterprise data warehouse platform such as Teradata, Snowflake, or equivalent technology,
  • 4+ years' experience with 2 or more BI tools (Tableau, Power BI, QLikview, Greenplum, etc.),
  • 2+ years' experience with big data technologies such as Apache Spark (or Databricks), Hadoop or equivalent technology,
  • 2+ years' experience implementing data solutions in the public cloud (Azure, AWS, or GCP),
  • Formal experience eliciting requirements from business users and working with technical teams to develop comprehensive solutions, and
  • Technical proficiency with BI best practices, specifically data visualization, dashboards, business metrics, KPIs, reports, queries, search, predictive analytics, and master data management.

Preferred Qualifications
  • Strong understanding of data warehouse methodologies and concepts, including star schemas, snowflakes, ETL processes, dimensional modeling, and BI reporting tools,
  • Hands-on experience building large-scale data pipelines using tools such as Apache Airflow, Azure Data Factory, or other equivalent technology,
  • Experience with the Power BI & Power Platform suite of Business Intelligence tools,
  • Strong understanding of the Snowflake cloud data platform,
  • Hands-on experience with the Microsoft suite of Business Intelligence tools including Power BI,
  • Hands-on experience with NoSQL technologies such as Cassandra, CouchDB, MongoDB
  • Hands-on experience with big data solutions such as Databricks or Apache Spark, HBase and/or Hadoop eco-system (MapReduce, Pig, Hive, Sqoop) including data collection, storage, transformation, and analysis,
  • Snowflake and/or other data related certifications
  • Hands-on experience using message streaming technologies such as Apache Kafka, Apache Flink, or other equivalent technology, and
  • Experience with related/complementary Big Data open-source software platforms and languages (e.g. Java, Scala, Apache, Perl/Python/PHP, etc.).

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