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Entry Level Remote Data Modeler Jobs (NOW HIRING)

ACS Consultancy Services

Data Modeler

Albany, NY · Remote

$56 - $72.75/hr

Remote We are currently seeking candidates who meet the following qualifications. Responsibilities: * Develop and maintain conceptual, logical, and physical data models. * Analyze business ...

CEDENT

Data Modeler

$40 - $60/hr

Data Modeler Responsibilities: 1. Analyze, Design and Implement Data Models: • Analyze legacy and ... Remote Compensation: Hourly Rate Range - $40-$60/ hr Benefits Offered: [Health, Dental, Vision ...

Tech Tammina

Senior Data Modeler

Remote Duration: 6+ Months Key Skills Required: * Strong SQL experience (Must have) * 2+ years of Data Modeling experience * Experience with Entity Modeling tools such as Hackolade, Erwin, ER Studio ...

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

As of Jun 18, 2026, the average hourly pay for entry level remote 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 does an Entry Level Remote Data Modeler do?

An Entry Level Remote Data Modeler assists in designing, creating, and maintaining data models that organize and structure information for companies, typically while working from home. They work closely with data architects and analysts to translate business requirements into technical data structures, such as databases or data warehouses. Their tasks may include creating diagrams, documenting data flows, and ensuring data integrity. This role often requires proficiency in data modeling tools and a basic understanding of databases and data management concepts.

What are the typical challenges faced by entry-level remote data modelers, and how can they overcome them?

Entry-level remote data modelers often face challenges such as limited access to immediate mentorship, difficulty understanding complex data structures, and ensuring clear communication with distributed teams. To overcome these obstacles, it’s important to proactively seek feedback through regular virtual meetings, utilize collaboration platforms for documentation and model sharing, and participate in online forums or communities for peer support. Building a habit of clear, detailed documentation and asking clarifying questions early can also help navigate the learning curve and contribute effectively to team projects.

What are the key skills and qualifications needed to thrive as an Entry Level Remote Data Modeler, and why are they important?

To thrive as an Entry Level Remote Data Modeler, you need foundational knowledge in database concepts, data modeling principles, and a relevant degree in computer science or information systems. Familiarity with tools like ER/Studio, Microsoft Visio, and SQL-based database systems is typically expected. Strong analytical thinking, attention to detail, and effective communication are standout soft skills for this role. These skills and qualities are important because they ensure accurate data structure design, collaboration with remote teams, and successful implementation of data solutions.

Can I work a data entry job with no experience?

Entry level remote data modeler positions typically require some familiarity with data management tools and basic understanding of data structures, but they often do not require extensive experience. Candidates can sometimes start with minimal experience if they demonstrate strong attention to detail, basic technical skills, and willingness to learn. Training and onboarding are common to help new employees develop necessary skills quickly.

How to make $1000 a week remote?

An entry-level remote data modeler can earn $1000 or more per week by working on multiple freelance or contract projects, often requiring skills in data modeling tools like ER/Studio or PowerDesigner. Building a strong portfolio, gaining relevant certifications, and applying to high-paying freelance platforms can help achieve this income level. Consistent remote work and developing specialized expertise increase earning potential.

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

AspectEntry Level Remote Data ModelerEntry Level Remote Data Analyst
Primary FocusDesigning and developing data models and database structuresAnalyzing data sets to identify trends and generate reports
Required SkillsData modeling, SQL, database design, understanding of data architectureData analysis, Excel, SQL, visualization tools
Work EnvironmentRemote, often collaborating with data engineers and developersRemote, working with business teams and stakeholders
Common CertificationsNone required but beneficial: Microsoft Certified Data Analyst, IBM Data ScienceNone required but beneficial: Microsoft Certified Data Analyst, Google Data Analytics

While both roles are entry-level and often remote, data modelers focus on structuring and designing data systems, whereas data analysts interpret data to support decision-making. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

How to make 2000 a week working from home?

An entry level remote data modeler can increase earnings by gaining specialized skills in data modeling tools like ERwin or PowerDesigner, obtaining relevant certifications, and taking on multiple freelance or contract projects. Building a strong portfolio and networking can also lead to higher-paying opportunities, but earning $2000 weekly typically requires consistent work, experience, and possibly advanced skills in data architecture or database design.

What remote jobs pay well with no experience?

Entry-level remote data modeler roles typically require some understanding of data structures and modeling tools but may not need extensive experience. High-paying remote jobs with no experience often include roles like customer support, virtual assistant, or data entry, which can pay well depending on the industry and skill level. Developing relevant skills or certifications can improve earning potential in these positions.
More about Entry Level Remote Data Modeler jobs
What are the most commonly searched types of Remote Data Modeler jobs? The most popular types of Remote Data Modeler jobs are:
What states have the most Entry Level Remote Data Modeler jobs? States with the most job openings for Entry Level Remote Data Modeler jobs include:
What job categories do people searching Entry Level Remote Data Modeler jobs look for? The top searched job categories for Entry Level Remote Data Modeler jobs are:
Entry Level Remote Data Modeler jobs near you
Infographic showing various Entry Level Remote Data Modeler job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

Data Modeler

ACS Consultancy Services

Albany, NY • Remote

$56 - $72.75/hr

Other

Posted 24 days ago

Job description

Job Title: Data Modeler

Location: Remote

We are currently seeking candidates who meet the following qualifications.

Responsibilities:

  • Develop and maintain conceptual, logical, and physical data models.
  • Analyze business requirements to identify data needs and relationships.
  • Design normalized and denormalized data structures for OLTP and OLAP systems.
  • Collaborate with data architects, engineers, analysts, and business stakeholders.
  • Create and maintain data dictionaries and metadata repositories.
  • Ensure data integrity, consistency, and quality across systems.
  • Support data warehouse, data lake, and master data management projects.
  • Use modeling tools like ER/Studio, ERwin, or SQL DBMS-native tools.
Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • Experience in data modeling or database design.
  • Proficiency in data modeling techniques and standards (3NF, Star Schema, Snowflake).
  • Experience working with RDBMS systems (e.g., Oracle, SQL Server, PostgreSQL).
  • Experience in data integration and ETL processes.
  • Strong SQL skills and experience with writing queries for validation and testing.
  • Understanding of data governance, data quality, and metadata management.
  • Experience with NoSQL or semi-structured data modeling (e.g., JSON, MongoDB).
  • Exposure to cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of BI tools and reporting systems (e.g., Power BI, Tableau).
  • Experience with Data Vault, Anchor Modeling, or other advanced methodologies.
  • Federal Experience is a plus.
  • Required Security clearance.
    If you meet these qualifications, please submit your application via link provided in Linkedin.
    Kindly do not call the general line to submit your application.