

Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Austin, TX (hybrid) for 12 months at a W2 pay rate. Requires 5+ years of SQL and Python experience, expertise in Snowflake and Azure, and knowledge of ETL pipelines. Semiconductor industry experience preferred.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 2, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Austin, TX
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π§ - Skills detailed
#Azure #Computer Science #Data Engineering #Documentation #Python #"ETL (Extract #Transform #Load)" #Apache NiFi #Data Architecture #Automation #NiFi (Apache NiFi) #Data Orchestration #Snowflake #Data Processing #Cloud #Data Modeling #Scala #SQL (Structured Query Language) #MySQL #Security
Role description
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Job Title: Data Engineer
Location: Austin, TX (HYBRID)
Duration β 12 months
Only W2 Candidate
We're looking for a highly skilled Data Engineer to join our central engineering organization supporting the Client, Graphics, and Semi-Custom product teams. This is a high-impact role focused on designing, building, and maintaining scalable data architecture and pipelines that power analytics and decision-making across the business.
π§ What You'll Do
β’ Design, build, and maintain robust ETL/ELT pipelines across diverse data sources.
β’ Administer and optimize Snowflake, Postgres, and MySQL environments.
β’ Manage and scale cloud-based data infrastructure (Azure) for performance and security.
β’ Collaborate with analysts, engineers, and stakeholders to support data-driven initiatives.
β’ Create and maintain clear data models, documentation, and standards.
β’ Work with Apache NiFi or similar tools for data flow management and orchestration.
β
What Weβre Looking For
β’ 5+ years of experience with SQL and Python for data processing and automation.
β’ Proven experience with data warehousing (Snowflake preferred) and cloud platforms (preferably Azure).
β’ Strong background in ETL pipeline development and data modeling.
β’ Proficient with Apache NiFi or other data orchestration tools.
β’ Experience in the semiconductor or high-tech industry (preferred).
β’ Excellent collaboration and communication skills, especially working with global teams (China, India).
π Preferred Qualifications
β’ Bachelorβs or Masterβs degree in Computer Science, Engineering, or a related field.
β’ Ability to work cross-functionally and translate business needs into technical solutions.