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Data Analytics Contractor: 6-9 years (Advanced)

  • Job type Posted on: Jul 17, 2026
  • Experience level Artech
  • Employment type Austin, Texas
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Data Analytics Contractor: 6-9 years (Advanced)

Job Type :

Full-time

Job Location :

Austin Texas United States

Remote :

No

Jobcon Logo Job Description :

Data & Analytics Engineer Onsite - 3 days a week / Cupertino CA, Austin TX, Raleigh NC Only on W2 NO C2C USC/GC/TN-Visa Only Candidate should be from the location - Cupertino, CA; Austin, TX; Raleigh, NC MINIMUM QUALIFICATIONS 8+ years of experience designing, developing, and deploying next-generation analytical data products 3+ years as a Senior IC leading the development of data products and visualizations across multiple lines of business Strong proficiency in SQL and Scala with hands-on experience in data pipeline tools (Apache Spark, Kafka, Airflow), CI/CD practices, and version control Proficiency with cloud platforms (AWS, Azure, or GCP) and modern data management and visualization platforms Strong understanding of data warehousing, data modeling (dimensional/star schemas), and metric standardization Excellent executive communication skills with both technical and non-technical audiences PREFERRED QUALIFICATIONS Exposure to Semantic Layer and Headless BI using AI

Jobcon Logo Position Details

Posted:

Jul 17, 2026

Reference Number:

14660_9C83012DB4F80A6294C4919C0B9DAE4F

Employment:

Full-time

Salary:

Not Available

City:

Austin

Job Origin:

APPCAST_CPC

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Data & Analytics Engineer Onsite - 3 days a week / Cupertino CA, Austin TX, Raleigh NC Only on W2 NO C2C USC/GC/TN-Visa Only Candidate should be from the location - Cupertino, CA; Austin, TX; Raleigh, NC MINIMUM QUALIFICATIONS 8+ years of experience designing, developing, and deploying next-generation analytical data products 3+ years as a Senior IC leading the development of data products and visualizations across multiple lines of business Strong proficiency in SQL and Scala with hands-on experience in data pipeline tools (Apache Spark, Kafka, Airflow), CI/CD practices, and version control Proficiency with cloud platforms (AWS, Azure, or GCP) and modern data management and visualization platforms Strong understanding of data warehousing, data modeling (dimensional/star schemas), and metric standardization Excellent executive communication skills with both technical and non-technical audiences PREFERRED QUALIFICATIONS Exposure to Semantic Layer and Headless BI using AI

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