

Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Austin, TX, offering an onsite contract. Requires a Bachelor's degree and 7+ years in data roles, with expertise in SQL, ETL, data modeling, and Python. Local candidates preferred.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 13, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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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
#Scala #Data Engineering #C# #"ETL (Extract #Transform #Load)" #Data Modeling #SQL (Structured Query Language) #Data Analysis #Computer Science #Data Science #Data Architecture #Python #Data Management #Programming #C++
Role description
ROLE: Senior Data ENgineer (ETL , SQL , PYTHON)
Location: Austin, TX
Type: ONSITE
LOCAL TO AUSTIN PREFER
Data Engineer, Product Analytics Responsibilities:
β’ This candidate should have strong products experience conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit trade-offs within systems
β’ Influence product and cross-functional teams to identify data opportunities to drive impact
β’ You will suggest architecture and development approaches and data management standards to address complex analytical problems.
Requirements:
β’ Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
β’ 7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
β’ 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)
ROLE: Senior Data ENgineer (ETL , SQL , PYTHON)
Location: Austin, TX
Type: ONSITE
LOCAL TO AUSTIN PREFER
Data Engineer, Product Analytics Responsibilities:
β’ This candidate should have strong products experience conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit trade-offs within systems
β’ Influence product and cross-functional teams to identify data opportunities to drive impact
β’ You will suggest architecture and development approaches and data management standards to address complex analytical problems.
Requirements:
β’ Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
β’ 7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
β’ 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)