Jobs via Dice

Data Modeler -Houston, TX- Onsite Day 1

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler in Houston, TX, offering a contract position requiring 12+ years of experience in data modeling and architecture. Key skills include Databricks, Apache Spark, SQL, and cloud platforms. No visa sponsorship available.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 1, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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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
#Azure #Data Governance #Data Modeling #Big Data #PySpark #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Apache Spark #GCP (Google Cloud Platform) #Leadership #DevOps #Agile #Spark (Apache Spark) #dbt (data build tool) #Databricks #Data Engineering #Computer Science #Cloud #SQL (Structured Query Language) #Delta Lake #Compliance #Data Architecture
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, K Anand Corporation, is seeking the following. Apply via Dice today! Title: Data Modeler Location: Houston, TX- Onsite Day 1 Job Type: Contract Role Experience: 12+ Years No Sponsirship Visa Candidate Required JOB DESCRIPTION: Qualification: • Bachelor s or Master s degree in Computer Science, Information Systems, or related field. • 10+ years of experience in data modeling, data architecture, and data engineering. • Proven expertise in Databricks, Apache Spark, and SQL. • Strong experience with cloud platforms (Azure, AWS, or Google Cloud Platform). • Deep understanding of data warehousing, ETL/ELT processes, and big data ecosystems. • Familiarity with Delta Lake, Unity Catalog, and Lakehouse principles. • Excellent communication, leadership, and stakeholder management skills. Preferred Skills: • Experience with modeling tools like ER/Studio, PowerDesigner, or dbt. • Proficiency in Pyspark • Knowledge of data governance frameworks and compliance standards. • Agile and DevOps experience in data-centric environments.