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Live In Data Modeling Jobs (NOW HIRING)

Data Modeler

Manhattan, NY · On-site

$60.25 - $78.25/hr

The ideal candidate possesses strong expertise in dimensional modeling, modern cloud data platforms (particularly Snowflake), and data warehousing best practices. This role requires close ...

Must be proficient in data modeling tools such as Erwin, ER/Studio, PowerDesigner, or other similar tools. Proficiency with SQL, strong understanding of data pipeline and data warehousing principles ...

Must be proficient in data modeling tools such as Erwin, ER/Studio, PowerDesigner, or other similar tools. Proficiency with SQL, strong understanding of data pipeline and data warehousing principles ...

Must be proficient in data modeling tools such as Erwin, ER/Studio, PowerDesigner, or other similar tools. Proficiency with SQL, strong understanding of data pipeline and data warehousing principles ...

Data Modeling

Newark, DE · On-site

$53.50 - $69.50/hr

Mastery of object-oriented and resource based domain models in financial services. * SME across ... Hands-on modeling experience: source control (SVN, Perforce), UML, XML, JSON, SOAP, REST, Data ...

Data Modeler

Irving, TX · On-site

$52.50 - $68.25/hr

... (5 yrs in Data Modeling, BigData, Hadoop) Location: Irving, TX (Initially Work from Home) Job Type: Fulltime Permanent * As a Senior Data Modeler, you will be responsible for designing and ...

Data Modeler

Philadelphia, PA

$55.25 - $71.75/hr

Expert in relational and dimensional structures for large (multi-terabyte) operational, analytical, warehouse and BI systems Skilled in data profiling, business domain modeling, logical data modeling ...

Data Modeler

Las Vegas, NV · On-site

$52.25 - $67.75/hr

Las Vegas, 12 months Contract * 5+ years of experience in Data Modeling & Data Analyst and should have excellent communication and leadership skills. * Financial Domain knowledge is plus. * Should ...

Data Modeler

Jersey City, NJ

$57.25 - $74/hr

Experience: - Strong experience in modeling (UML and BPM), OOA and OOD methodology, object oriented ... data warehouse implementation process, from business requirements through logical modeling ...

Data Modeler

Manhattan, NY · On-site

$60.25 - $78.25/hr

Required : • Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience). • 5+ years of experience in data modeling within a data warehouse or ...

Data Modeler

Tallahassee, FL · On-site

$52 - $67.50/hr

A minimum of 4 years of IT work experience in data modeling, data analysis, relational DBMS design and support and relevant computing environments. Complexity: Intermediate professional level role.

Austin, TX (Remote for Anywhere in Texas) Duration: 3 Years Must have : Oil & Gas Industry Primary Skills: Data Architecture, Data Modeling, Power BI, Tableau, SSRS, ETL/ELT, Data Warehousing, KPI ...

Data Modeler

Berkeley Heights, NJ · On-site

$57.25 - $74/hr

NoSQL Data Modeling: Design flexible schemas, indexes, and aggregation pipelines in MongoDB to support high-speed, unstructured, and semi-structured application data. Data Governance & Metadata:

Manager, Ontology & Data Modeling

Richmond, VA

$54.25 - $70.25/hr

Manager, Ontology & Data Modeling The role of the Manager of Ontology and Data Modeling is to ... Utilize balanced judgment in decisions about risks of both actions taken and not taken while ...

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Live In Data Modeling information

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How much do live in data modeling jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for live in data modeling 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 the difference between Live In Data Modeling vs Data Analyst?

AspectLive In Data ModelingData Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; certifications like CDMPBachelor's in Statistics, Data Science, or related; certifications like CAP or Microsoft Data Analyst
Work EnvironmentCollaborative, often on-site, working closely with data teams and stakeholdersOffice or remote, analyzing data sets, creating reports, and visualizations
Industry UsageUsed in industries requiring detailed data modeling for live systems, such as finance or techCommon across various industries for interpreting data and supporting decision-making
Search & Comparison IntentPeople comparing roles involving live data modeling tasks with data analysis

Live In Data Modeling focuses on designing and maintaining data structures for live systems, requiring technical modeling skills. Data Analysts interpret data through reports and visualizations. While related, Live In Data Modeling emphasizes data architecture, whereas Data Analysts focus on data interpretation and insights.

What cities are hiring for Live In Data Modeling jobs? Cities with the most Live In Data Modeling job openings:
What are the most commonly searched types of Data Modeling jobs? The most popular types of Data Modeling jobs are:
What states have the most Live In Data Modeling jobs? States with the most job openings for Live In Data Modeling jobs include:

$60.25 - $78.25/hr

Other

Posted 22 days ago


Job description

Data Modeler-Healthcare Payer

Location – Midtown Manhattan, NYC(4 Day Onsite)

 

Position Summary

We are seeking an experienced Data Modeler to design, develop, and maintain scalable enterprise data models that support analytics, reporting, and operational data needs. The ideal candidate possesses strong expertise in dimensional modeling, modern cloud data platforms (particularly Snowflake), and data warehousing best practices. This role requires close collaboration with business stakeholders, data engineers, analytics teams, and solution architects to translate business requirements into robust, well-documented data structures.

The successful candidate will combine strong modeling and documentation skills with practical coding experience to support data transformation, validation, and optimization efforts.

Key Responsibilities

Data Modeling & Architecture

  • Design and maintain conceptual, logical, and physical data models for enterprise data platforms.
  • Develop dimensional models using Kimball methodologies, including star schemas, fact tables, dimension tables, slowly changing dimensions (SCDs), and conformed dimensions.
  • Partner with business and technical stakeholders to understand data requirements and translate them into scalable data structures.
  • Establish and maintain data modeling standards, naming conventions, and governance practices.
  • Evaluate source systems and define integration strategies for enterprise reporting and analytics.

Snowflake & Data Warehousing

  • Design and optimize Snowflake database structures, including schemas, tables, views, and data organization strategies.
  • Collaborate with Data Engineering teams to implement efficient ELT/ETL processes.
  • Support performance tuning, query optimization, clustering strategies, and cost-efficient Snowflake design.
  • Participate in data platform modernization initiatives and cloud migration efforts.

Documentation & Governance

  • Create and maintain comprehensive data dictionaries, business glossaries, lineage documentation, and model diagrams.
  • Document data definitions, transformation rules, business logic, and source-to-target mappings.
  • Support data governance initiatives by promoting consistency, quality, and traceability across data assets.
  • Ensure data models align with regulatory, security, and compliance requirements.

Development & Technical Support

  • Write and review SQL, data transformation logic, and validation queries.
  • Support development of data pipelines and transformation processes using SQL and modern data engineering tools.
  • Collaborate with developers and analysts to troubleshoot data quality and performance issues.
  • Build reusable frameworks and standards that improve data consistency and maintainability.

Required Qualifications

  • Bachelor''s degree in Computer Science, Information Systems, Data Analytics, or related field.
  • 5+ years of experience in data modeling, data warehousing, or data architecture roles.
  • Strong expertise in dimensional modeling and Kimball data warehousing principles.
  • Hands-on experience with Snowflake in a production environment.
  • Advanced SQL development and query optimization skills.
  • Experience creating conceptual, logical, and physical data models.
  • Strong documentation skills, including data dictionaries, lineage, and technical specifications.
  • Experience working with ETL/ELT processes and modern data pipelines.
  • Ability to communicate complex data concepts to both technical and non-technical audiences.

Preferred Qualifications

  • Experience with dbt, Matillion, Informatica, Fivetran, Airflow, or similar data integration tools.
  • Experience with data cataloging and governance platforms such as Collibra, Alation, or Microsoft Purview.
  • Familiarity with Data Vault modeling concepts.
  • Experience with Python, PySpark, or other programming languages used in data engineering workflows.
  • Experience working in Agile delivery environments.
  • Knowledge of healthcare, financial services, insurance, or other highly regulated industries.

Technical Skills

Required

  • Snowflake
  • SQL
  • Dimensional Modeling
  • Kimball Methodology
  • Data Warehousing
  • Data Mapping & Lineage
  • Data Documentation
  • Data Quality Analysis

Preferred

  • Python
  • dbt
  • Spark/PySpark
  • Azure, AWS, or Google Cloud Platform
  • Git/GitHub
  • Data Governance Tools
  • BI Platforms (Power BI, Tableau, Looker)

Success Factors

  • Strong analytical and problem-solving skills.
  • Ability to balance business requirements with scalable technical design.
  • Attention to detail and commitment to data quality.
  • Excellent documentation and communication skills.
  • Comfortable working across architecture, engineering, analytics, and business teams.
  • Ability to influence enterprise data standards and best practices.

Nice-to-Have Profile

A candidate who can move comfortably between architecture and implementation—someone who can design a Kimball-compliant dimensional model in the morning, document source-to-target mappings in the afternoon, and write SQL/Python code to validate and support the implementation before the day is over.