

eStaff LLC
Data Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler with over 10 years of experience, including 5 years in data modeling and analysis. It offers a hybrid contract in Sacramento, CA, for more than 6 months, with a strong focus on ER/Studio and Oracle tools.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 25, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Sacramento County, CA
-
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #ODI (Oracle Data Integrator) #Snowflake #Data Engineering #Data Analysis #Data Architecture #SQL (Structured Query Language) #Data Management #Oracle #Data Warehouse #Leadership #Data Modeling #ML (Machine Learning) #DBA (Database Administrator) #Database Design
Role description
We are seeking a senior, hands-on Data Analyst /Data Modeler with strong communication skills for a long-term hybrid assignment with our Sacramento, California-based client. This position requires you to be able to work on-site in Sacramento, California, on Mondays and Wednesdays each week. Candidates must currently live within 60 miles of Sacramento, CA.
Requirements:
• Senior, hands-on data model with strong communication skills.
• Expert-level command of ER/STUDIO Data Architect modeling application
• Strong ability to articulate data modeling principles and gather requirements from non-technical business stakeholders
• Excellent presentation skills to different (business and technical) audiences ranging from senior level leadership to operational staff with no supervision
• Ability to translate business and functional requirements into technical requirements for technical team members.
• Candidate needs to be able to demonstrate direct hands-on recent practical experience in the areas identified with specific examples.
Qualifications:
Mandatory:
• Minimum of ten (10) years demonstrable experience in the data management space, with at least 5 years specializing in database design and at least 5 years in data modeling.
• Minimum of five (5) years of experience as a data analyst or in other quantitative analysis or related disciplines, such as a researcher or data engineer, supportive of key duties/responsibilities identified above.
• Minimum of five (5) years of demonstrated experience with ER/Studio data modeling application
• Minimum of five (5) years of relevant experience in relational data modeling and dimensional data modeling, statistical analysis, and machine learning, supportive of key duties/responsibilities identified above.
• Excellent communication and collaboration skills to work effectively with stakeholders and team members.
• At least 2 years of experience working on Star, Snowflake, and/or Hybrid schemas
• Oracle/ODI/OCI/ADW experience required
Desired:
• At least 2 years of experience working on Oracle Autonomous Data Warehouse (ADW), specifically installed in an OCI environment.
• Expert-level Kimball Dimensional Data Modeling experience
• Expert-level experience developing in Oracle SQL Developer or ER/Studio Data Architect for Oracle.
• Ability to develop and perform Extract, Transform, and Load (ETL) activities using Oracle tools and PL/SQL with at least 2 years of experience. Ability to perform technical leadership of an Oracle data warehouse team, including but not limited to ETL, requirements solicitation, DBA, data warehouse administration, and data analysis on a hands-on basis.
We are seeking a senior, hands-on Data Analyst /Data Modeler with strong communication skills for a long-term hybrid assignment with our Sacramento, California-based client. This position requires you to be able to work on-site in Sacramento, California, on Mondays and Wednesdays each week. Candidates must currently live within 60 miles of Sacramento, CA.
Requirements:
• Senior, hands-on data model with strong communication skills.
• Expert-level command of ER/STUDIO Data Architect modeling application
• Strong ability to articulate data modeling principles and gather requirements from non-technical business stakeholders
• Excellent presentation skills to different (business and technical) audiences ranging from senior level leadership to operational staff with no supervision
• Ability to translate business and functional requirements into technical requirements for technical team members.
• Candidate needs to be able to demonstrate direct hands-on recent practical experience in the areas identified with specific examples.
Qualifications:
Mandatory:
• Minimum of ten (10) years demonstrable experience in the data management space, with at least 5 years specializing in database design and at least 5 years in data modeling.
• Minimum of five (5) years of experience as a data analyst or in other quantitative analysis or related disciplines, such as a researcher or data engineer, supportive of key duties/responsibilities identified above.
• Minimum of five (5) years of demonstrated experience with ER/Studio data modeling application
• Minimum of five (5) years of relevant experience in relational data modeling and dimensional data modeling, statistical analysis, and machine learning, supportive of key duties/responsibilities identified above.
• Excellent communication and collaboration skills to work effectively with stakeholders and team members.
• At least 2 years of experience working on Star, Snowflake, and/or Hybrid schemas
• Oracle/ODI/OCI/ADW experience required
Desired:
• At least 2 years of experience working on Oracle Autonomous Data Warehouse (ADW), specifically installed in an OCI environment.
• Expert-level Kimball Dimensional Data Modeling experience
• Expert-level experience developing in Oracle SQL Developer or ER/Studio Data Architect for Oracle.
• Ability to develop and perform Extract, Transform, and Load (ETL) activities using Oracle tools and PL/SQL with at least 2 years of experience. Ability to perform technical leadership of an Oracle data warehouse team, including but not limited to ETL, requirements solicitation, DBA, data warehouse administration, and data analysis on a hands-on basis.





