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Entry Level Data Modeler Jobs (NOW HIRING)

Data Engineer

Denver, CO ยท On-site

$85K - $125K/yr

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering ... Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling * Workflow orchestrators ...

Data Engineer

Denver, CO ยท On-site +1

$85K - $125K/yr

Description The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data ... Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling * Workflow orchestrators ...

Data Engineer

Denver, CO ยท On-site

$85K - $125K/yr

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering ... Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling * Workflow orchestrators ...

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering ... Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling * Workflow orchestrators ...

Data Engineer

Denver, CO ยท On-site +1

$85K - $125K/yr

Description Position at Ookla The Opportunity: We're looking for an entry level Data Engineer to ... Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling * Workflow orchestrators ...

Software Engineer I, Data Science (New Grad)

Denver, CO ยท On-site

$117K - $141K/yr

This is entry-level data science work supporting hardware production and spacecraft operations. You'll write SQL queries, build predictive models in Python, create operational dashboards, and see ...

New

Responsibilities Arcfield is looking for an entry-level DATA SCIENTISTS to serve as an essential ... Help onboard, operate, and transition large-scale data science and AI/ML models in cloud and on ...

Data Scientist /data analyst entry level /AI /software programmer(Remote) Occupation: Data ... Apply data mining, data modeling, natural language processing, and machine learning to extract and ...

Responsibilities Peraton is seeking an Entry-level Data Science Associate in our Herndon, VA ... Understanding of large-language models or running open-source hugging face model Peraton Overview ...

Responsibilities Peraton is seeking an Entry-level Data Science Associate in our Herndon, VA ... Understanding of large-language models or running open-source hugging face model Peraton Overview ...

Showing results 21-40

Entry Level Data Modeler information

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$10

$58

$83

How much do entry level data modeler jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for entry level data modeler in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What is an entry level data modeler?

Entry Level Data Modelers are professionals who help design, create, and maintain data models for organizations, typically at the start of their careers. They work with senior data modelers or data architects to organize data structures, ensuring data is stored, accessed, and managed efficiently. Their tasks may include building entity-relationship diagrams, documenting data flows, and supporting database development. Entry level data modelers often work with teams in IT, analytics, or business intelligence, and use tools such as SQL and data modeling software. They play a crucial role in ensuring data integrity and supporting business operations through effective data management.

What are the key skills and qualifications needed to thrive as an entry level data modeler?

To thrive as an Entry Level Data Modeler, you typically need a solid understanding of database concepts, data modeling principles, and a relevant degree in computer science or information systems. Familiarity with data modeling tools like ERwin, SQL databases, and basic knowledge of data warehousing systems is commonly expected. Strong analytical skills, attention to detail, and effective communication help you translate business needs into accurate data models. These competencies ensure data structures are efficient, scalable, and aligned with organizational objectives, supporting successful project outcomes.

What are some common challenges faced by entry level data modelers, and how can they overcome them?

Entry level data modelers often encounter challenges such as understanding complex data sources, translating business requirements into efficient data structures, and learning new modeling tools or methodologies. To overcome these, it's helpful to seek mentorship from experienced team members, actively participate in project meetings to clarify requirements, and invest time in hands-on practice with data modeling software. Collaborating closely with database administrators, analysts, and developers also enhances understanding of practical data flows and integration points.

What is the difference between Entry Level Data Modeler vs Data Analyst?

AspectEntry Level Data ModelerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; basic understanding of data modeling toolsBachelor's in Statistics, Math, or related; proficiency in data analysis software
Work EnvironmentData modeling teams, database development projectsBusiness intelligence teams, reporting, and data interpretation
Employer & Industry UsageTech companies, finance, healthcare, where data structure design is neededMarketing, finance, healthcare, focusing on data insights and reporting

While both roles involve working with data, an Entry Level Data Modeler primarily focuses on designing and creating data structures and models, whereas a Data Analyst interprets data to generate insights. The roles often overlap in industries like tech and finance, but their core responsibilities differ: modeling vs. analysis.

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What are the most commonly searched types of Data Modeler jobs?

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For Entry Level Data Modeler jobs, the most frequently searched job titles are:

Infographic showing various Entry Level Data Modeler job openings in the United States as of September 2026, with employment types broken down into 4% Internship, 67% Full Time, 22% Part Time, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

Data Engineer

Denver, CO โ€ข On-site

Ookla
Software Developmentย โ€ขย 51 - 200 employees

$85K - $125K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

The Opportunity:

Weโ€™re looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the worldโ€™s best collection of data on mobile and fixed internet performance. As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should have a strong, data-focused programming background and be passionate about accuracy and performance. You will work on big data using the latest technologies.

Key Responsibilities:

  • Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark and Airflow

  • Debug queries, monitor jobs, identify bottlenecks in system performance and improve efficiency
  • Support and collaborate with data scientists, analysts, and product managers

Job Requirements:

  • Bachelor's degree in Computer Science or related field or equivalent experience

  • 1+ year of professional experience in data engineering

  • Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

  • Workflow orchestrators (Dagster, Airflow, Prefect)

  • Experience working with Python

  • Strong communication skills both in person and via virtual mediums
  • Background check required

Nice to have:

  • ETL/ELT design patterns

  • Experience with AWS cloud services
  • Experience with high volume distributed data processing in Spark

About 

Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the trusted expertise of Speedtestยฎ, Downdetectorยฎ, Ekahauยฎ, and RootMetricsยฎ to deliver unmatched network and connectivity insights. By combining multi-source data with industry-leading expertise, we transform network performance metrics into strategic, actionable insights.


Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real-world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected.


About Accenture

Accenture helps the worldโ€™s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.


Compensation Range

Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is $85,000 to $125,000 annually. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.