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Internship Data Modeler Jobs in Hackensack, NJ (NOW HIRING)

Roku

Senior Data Scientist

New York, NY · On-site +1

$126K - $199K/yr

Formulate and apply mathematical modeling and other optimizing methods to develop and interpret ... Must have prior experience, internship, project background, or advance level coursework in each of ...

Sciemo

Data Scientist

Manhattan, NY · On-site

$110 - $160/hr

Experience developing and validating models on real, messy data -- through internships, prior roles, or substantive project work. * Solid foundation in statistics and machine learning: regression ...

Sciemo

Data Scientist

New York, NY · On-site

$150K - $300K/yr

ALL ABOUT YOU • Experience developing and validating models on real, messy data - through internships, prior roles, or substantive project work. • Solid foundation in statistics and machine ...

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All JobsData Modeler JobsInternship Data Modeler JobsInternship Data Modeler Jobs in Hackensack, NJ

Internship Data Modeler information

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$11

$64

$90

How much do internship data modeler jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for internship data modeler in Hackensack, NJ is $64.04, according to ZipRecruiter salary data. Most workers in this role earn between $57.40 and $74.47 per hour, depending on experience, location, and employer.

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

AspectInternship Data ModelerData Analyst
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related fields
Work EnvironmentInternship setting, often in tech or finance companies, focusing on data modeling tasksOffice environment, analyzing data sets, creating reports, and visualizations
Employer & Industry UsageUsed in companies developing databases, data warehouses, or software solutionsCommon across industries for business insights, marketing, finance, and operations

The Internship Data Modeler focuses on designing and developing data models during an internship, often with a learning component. In contrast, a Data Analyst interprets data, creates reports, and provides insights. While both roles require analytical skills, the internship data modeler emphasizes data structure design, whereas the data analyst emphasizes data interpretation and reporting.

What are the most commonly searched types of Data Modeler jobs in Hackensack, NJ?

The most popular types of Data Modeler jobs in Hackensack, NJ are:

Internship Data Modeler jobs near you

Senior Data Management Professional - Macro Industries - ESG TPD/GOVS

Bloomberg LP

New York, NY • On-site

$116K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 247 rated software companies

Job description

Senior Data Management Professional - Macro Industries - ESG TPD/GOVS
Location
New York
Business Area
Data
Ref #
10052676
Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.
The "Macro Industries - SFS TPD" data team supports Sustainable Finance Solutions (SFS) Third Party Data. SFS Third Party Data leverages knowledge of financial markets, clients' needs, and data engineering to design pipelines that support high-quality content. Our focus is on acquiring, processing, validating, and storing environmental, social, and governance data using open source, third party, and proprietary technology. We're constantly using data-driven decision-making to create better, more efficient systems to handle the huge variety of data we acquire and deliver to our clients. We have strong working relationships with teams across Data, Engineering, CTO, and others, and utilize this network to achieve results. There are many growth opportunities within the team.
The Role:
A Data Management Professional (DMP) is a key role within our organization responsible for optimizing our data for clients and improving our data operations. They act as technical leaders: setting the strategy for data products, developing interconnected data models, designing data schemas and pipelines, and ensuring data integrity. They are expected to be problem solvers, effective communicators, and able to balance technical expertise with a product-focused approach. This role encompasses various specialty areas, including statistical analysis and data visualization, data engineering, product ownership, data modeling and data quality. It requires a solid background in data management.
We'll trust you to:
  • Design and implement data workflows, integrating structured and unstructured datasets while maintaining robust quality controls
  • Develop database schemas and ETL processes to efficiently onboard and process new datasets
  • Analyze metadata and internal processes to identify and implement innovative improvements
  • Establish data governance standards and best practices, including business rules for programmatic data validation based on market conventions
  • Build comprehensive data quality monitoring and reporting systems using statistical analysis and visualization techniques
  • Collaborate with Engineering and Product teams to develop and execute client-focused data strategies
  • Mentor technical team members and promote best practices across the organization

You'll need to have:
  • A BA/BS degree or higher in STEM or relevant data technology field, or equivalent professional work experience in software development
  • 4+ years of professional experience programming and scripting in Python production environments
  • 4+ years of experience working with databases, either SQL or NoSQL
  • Understanding and experience with data modeling
  • Excellent written and verbal communication skills for explaining sophisticated technical concepts to different stakeholders

We'd love to see:
  • Curiosity in problem solving, particularly to modify and improve processes and workflows
  • Solid attention to detail and high degree of proven decision-making
  • Experience in information technology, project management, engineering, data analysis, or research
  • Experience working in an agile development team
  • Strong passion for data, technology and finance
  • Ability to work under pressure and in an often-changing environment
  • Ability to work independently as well as in a team environment
  • Ability to influence others and lead change

Does this sound like you? Apply if you think we're a good match! We will be in touch to let you know what the next steps are.
Salary Range = 110,000 - 190,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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