

Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer focused on High Speed I/O Validation, lasting 2+ months in Austin, TX (100% onsite). Requires 4-5 years in test automation, experience with PCIe 5/6, Python, SQL, and data analytics tools.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 14, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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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, Texas Metropolitan Area
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π§ - Skills detailed
#SQL (Structured Query Language) #Spark (Apache Spark) #Linux #Data Warehouse #Data Architecture #Strategy #Visualization #Storage #Data Strategy #Java #Data Engineering #Scala #Automation #Snowflake #Python #Data Science
Role description
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This is W2 only role, c2c candidates please excuse, also experince with high speed SerDes I/O like PCIe 5/6, SerDes PHY or High Speed I/O Validation at PCIe, please excuse if you dont have these.
Title: Data Engineer for HSIO Validation
Duration: 2+ Months
Location: Austin, TX (100% Onsite)
Description:
β’ Data Science Engineer For High Speed I/O Validation
The Role:
β’ We are searching for a Data Science Engineer to help implement and drive our volume data strategy and integration into validation flows.
β’ This includes data collection and predictive modelling of quality metrics in manufacturing for high speed SerDes I/O like PCIe 5/6.
The Person:
β’ You will be applying your Data Science and Automation experience to tackle challenging volume validation, manufacturing, and issue debug problems.
Key Responsibilities:
β’ Implement automation and data strategy with validation technical leads and data architects to reduce time to market and time to quality
β’ Develop Python automation scripts for performance metrics data collection and characterization
β’ Deliver robust data analytics solutions for visualization, results reporting, and building predictive statistical models
β’ Develop database solutions to support storage and analysis of test results from validation and manufacturing
Ideal Candidate:
β’ 4 to 5 yearsβ experience in developing test automation solutions as an Automation Engineer
β’ Experience in developing high-availability, low-latency enterprise solutions as a Data Science/Engineering subject matter expert
β’ Knowledge of data modelling and data warehouse/lake best practices (SQL, Snowflake)
β’ Experience with data analytics, visualizations, and report generation (PowerBI, JMP)
β’ Experience building statistical predictive models factoring multiple sources of variation in chip and system manufacturing
β’ Experience writing performant code in Python, Java, Scala and good experience with Spark
β’ Enforcing and applying best practices for modular code development including 3rd party tool integration
β’ Experience with SerDes PHY or High Speed I/O Validation at PCIe
β’ Linux power user