

AWS Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer in Reston, VA (Hybrid) with a contract length of "unknown." Pay rate is "unknown." Requires 5-10 years of experience, strong Python skills, and expertise in SQL, data modeling, and AWS CI/CD pipelines.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
600
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ποΈ - Date discovered
July 12, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Reston, VA
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π§ - Skills detailed
#Data Engineering #Databases #Spark (Apache Spark) #Airflow #Data Modeling #Cloud #NoSQL #SQL (Structured Query Language) #Datasets #GitLab #Python #Data Lake #AWS (Amazon Web Services) #Computer Science
Role description
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Title: AWS Data Engineer
Location : Reston VA (Hybrid)
Interview: Video
Job Description:
β’ Data Engineering and insight experience Analysis
β’ Experience with APIs, RESTful services, Strong Python experience.
β’ Strong experience building CI/CD pipelines on AWS (CloudFormation and Gitlab)
β’ Focused on manipulating data in a software engineering capacity. Some of that data might live in relational systems, but its increasingly moving towards NoSQL systems and data lakes.
β’ Normalize databases and ascertain the structure of the data meets the requirements of the applications that are accessing the information. Construct datasets that are easy to analyze and support company requirements.
β’ Combine raw information from different sources to create consistent and machine-readable formats.
Skills:
β’ This IT role requires a significant set of technical skills, including a deep knowledge of SQL, data modeling, and tools like Spark/Hive/Airflow.
Education/Work Experience:
β’ Bachelor degree in Computer Science, Information Systems or related field
β’ Post-graduate degree desired
β’ Professional certification(s) desired 5-10 years relevant experience
βMindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of β Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.β