

eStaff LLC
Data Modeler
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler with over 10 years of data management experience, including 5 years in data modeling. It offers a long-term hybrid contract in Sacramento, CA, with a pay rate of "unknown." Key skills include ER/Studio, Oracle, and ETL.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
January 6, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Sacramento County, CA
-
π§ - Skills detailed
#Leadership #ML (Machine Learning) #Data Management #Data Architecture #Oracle #Data Analysis #SQL (Structured Query Language) #ODI (Oracle Data Integrator) #"ETL (Extract #Transform #Load)" #Snowflake #Database Design #Data Engineering #Data Warehouse #Data Modeling #DBA (Database Administrator)
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:
β’ Senior, hands-on data model with strong communication skills.
β’ Expert-level command of ER/STUDIO Data Architect modeling application
β’ Strong ability to articulate data modeling principles and gather requirements from non-technical business stakeholders
β’ Excellent presentation skills to different (business and technical) audiences ranging from senior level leadership to operational staff with no supervision
β’ Ability to translate business and functional requirements into technical requirements for technical team members.
β’ Candidate needs to be able to demonstrate direct hands-on recent practical experience in the areas identified with specific examples.
Qualifications:
Mandatory:
β’ 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.
β’ 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.
β’ Minimum of five (5) years of demonstrated experience with ER/Studio data modeling application
β’ 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.
β’ Excellent communication and collaboration skills to work effectively with stakeholders and team members.
β’ At least 2 years of experience working on Star, Snowflake, and/or Hybrid schemas
β’ Oracle/ODI/OCI/ADW experience required
Desired:
β’ At least 2 years of experience working on Oracle Autonomous Data Warehouse (ADW), specifically installed in an OCI environment.
β’ Expert-level Kimball Dimensional Data Modeling experience
β’ Expert-level experience developing in Oracle SQL Developer or ER/Studio Data Architect for Oracle.
β’ 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:
β’ Senior, hands-on data model with strong communication skills.
β’ Expert-level command of ER/STUDIO Data Architect modeling application
β’ Strong ability to articulate data modeling principles and gather requirements from non-technical business stakeholders
β’ Excellent presentation skills to different (business and technical) audiences ranging from senior level leadership to operational staff with no supervision
β’ Ability to translate business and functional requirements into technical requirements for technical team members.
β’ Candidate needs to be able to demonstrate direct hands-on recent practical experience in the areas identified with specific examples.
Qualifications:
Mandatory:
β’ 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.
β’ 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.
β’ Minimum of five (5) years of demonstrated experience with ER/Studio data modeling application
β’ 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.
β’ Excellent communication and collaboration skills to work effectively with stakeholders and team members.
β’ At least 2 years of experience working on Star, Snowflake, and/or Hybrid schemas
β’ Oracle/ODI/OCI/ADW experience required
Desired:
β’ At least 2 years of experience working on Oracle Autonomous Data Warehouse (ADW), specifically installed in an OCI environment.
β’ Expert-level Kimball Dimensional Data Modeling experience
β’ Expert-level experience developing in Oracle SQL Developer or ER/Studio Data Architect for Oracle.
β’ 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.






