

Data Engineer - 135779
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position in Austin, Texas, offering a contract lasting over 6 months with a pay rate of $65/hr - $80/hr. Key skills include advanced SQL, Python, and experience with Snowflake, ETL frameworks, and AI/ML concepts.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
640
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ποΈ - Date discovered
August 1, 2025
π - Project duration
More than 6 months
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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, TX
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π§ - Skills detailed
#Python #Data Integrity #ML (Machine Learning) #Automation #Data Engineering #Programming #Security #Data Processing #Data Pipeline #AI (Artificial Intelligence) #Snowflake #SQL (Structured Query Language) #Compliance #"ETL (Extract #Transform #Load)"
Role description
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THIS JOB DESCRIPTION WAS CREATED BY AI, REVIEW BEFORE POSTING
Position: Data Engineer - 135779
Location: Austin, Texas
Duration: Contract
Job ID: 169124
Job Overview:
We are seeking a skilled Data Engineer to join our team in Austin, Texas. The ideal candidate will have a strong background in database technologies, advanced SQL, and Python, with additional experience in artificial intelligence, machine learning, and ETL frameworks being a plus. This role involves working with cutting-edge technologies to design, develop, and maintain data solutions that support business objectives.
Responsibilities:
β’ Design, develop, and maintain robust data pipelines and ETL processes.
β’ Work with database technologies to ensure data integrity and performance.
β’ Utilize advanced SQL to query, analyze, and manipulate data effectively.
β’ Collaborate with cross-functional teams to implement data solutions that meet business needs.
β’ Leverage Python for data processing, automation, and integration tasks.
β’ Explore and implement artificial intelligence and machine learning solutions where applicable.
β’ Work with Snowflake, MemSQL, and SingleStore as needed to support data initiatives.
β’ Adhere to best practices in data engineering and ensure compliance with organizational standards.
Qualifications:
β’ Proficiency in database technologies and advanced SQL (2-5 years of experience required).
β’ Strong Python programming skills (2-5 years of experience required).
β’ Experience with Snowflake, MemSQL, and SingleStore is a plus.
β’ Familiarity with Apple GBI Framework and GBI ETL Framework is nice to have.
β’ Knowledge of artificial intelligence and machine learning concepts is a plus.
β’ Strong problem-solving skills and attention to detail.
β’ Excellent communication and collaboration abilities.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com
At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:
β’ Pay any fee to be considered for, submitted to, or selected for any opportunity.
β’ Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
β’ Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.
Pay Range: $65/hr - $80/hr
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.