ClearpointCo

Data Modeler

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler with 7+ years of experience, focusing on SQL, Microsoft Fabric, and Power BI. The contract is for over 6 months, hybrid in the I-10 West Houston area, requiring local candidates for occasional office meetings.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
500
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🗓️ - Date
November 12, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#SQL (Structured Query Language) #DAX #Microsoft Power BI #Dataflow #BI (Business Intelligence) #Data Modeling
Role description
• • • • • • • • • NO THIRD PARTIES PLEASE • • • • • • • • This is a contract to hire position for a very stable organization. Great teammates and a great opportunity for growth and a long career. I-10 West Houston area location for the company. • • • • The position is REMOTE; however, I am seeking a local Houston candidate as there will be periodic times to come into the office for team meetings. • • • • • • • • • • Summary: Seeking a Data Modeler that will be responsible for cleaning up to optimize workflows. This position will require strong hands-on Data Modeler experience. Requirements: Requirements: - 7+ years of Data Modeling experience - 3+ years in data modeling or analytics engineering with strong SQL. - Hands-on Microsoft Fabric - Lakehouse/Warehouse, OneLake, Delta tables, Dataflows Gen2 or Pipelines; familiarity with SQL endpoint usage. - Star schemas; fact types (transactional, periodic snapshot, accumulating); bridge tables for M:N; degenerate and junk dimensions. - SCD Type 1/2 with MERGE; effective/expiry dating; handling late-arriving data. - Power BI semantic modeling and DAX - Clean tabular model design; CALCULATE/KEEPFILTERS/USERELATIONSHIP; date intelligence; semi-additive measures; model properties (data types, sort-by, formatting). - Incremental refresh; basic aggregations; RLS. - Define tests (unique/not-null/accepted values), document metrics, manage endorsements; apply sensitivity labels for PII/regulated data. Translate stakeholder requirements into grain/facts/dimensions and certified measures; collaborate across DE, BI, and business teams.