Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a 6-month contract, offering a pay rate of "X" per hour. Key requirements include 5+ years of Python and AWS experience, SQL proficiency, and expertise in building CI/CD pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 21, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Reston, VA
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🧠 - Skills detailed
#GitLab #Datasets #Data Engineering #NoSQL #Lambda (AWS Lambda) #Debugging #AWS EMR (Amazon Elastic MapReduce) #SQL (Structured Query Language) #AWS (Amazon Web Services) #Python #Scrum #Databases #Data Lake #Programming #Cloud #S3 (Amazon Simple Storage Service) #SNS (Simple Notification Service) #Agile #SQS (Simple Queue Service) #Kanban #RDS (Amazon Relational Database Service) #Redshift
Role description
Job Description:
• At least 5 years of relevant Data Engineering and insight experience
• 5+ years of Python with very strong AWS experience in delivering Python based solutions
• Skilled in SQL and experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
• 5+ years of recent experience with building and deploying applications in AWS using services like (S3,Glue,Redshift,RDS,AWS EMR, Cloudwatch, Lambda, State Machine, SNS, SQS, ECS Fargate, AppFlow, etc.)
• At least 2 years of experience in APIs, RESTful services.
• Skilled in cloud technologies and cloud computing
• Strong experience building CI/CD pipelines on AWS (CloudFormation and Gitlab)
• Good communication skills and ability to work in a team environment.
• Ability to work independently as well as part of an agile team (Scrum / Kanban)
• Programming including coding, debugging, and using relevant programming languages
• 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.
• 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.
• Combine raw information from different sources to create consistent and machine-readable formats.
Job Description:
• At least 5 years of relevant Data Engineering and insight experience
• 5+ years of Python with very strong AWS experience in delivering Python based solutions
• Skilled in SQL and experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
• 5+ years of recent experience with building and deploying applications in AWS using services like (S3,Glue,Redshift,RDS,AWS EMR, Cloudwatch, Lambda, State Machine, SNS, SQS, ECS Fargate, AppFlow, etc.)
• At least 2 years of experience in APIs, RESTful services.
• Skilled in cloud technologies and cloud computing
• Strong experience building CI/CD pipelines on AWS (CloudFormation and Gitlab)
• Good communication skills and ability to work in a team environment.
• Ability to work independently as well as part of an agile team (Scrum / Kanban)
• Programming including coding, debugging, and using relevant programming languages
• 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.
• 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.
• Combine raw information from different sources to create consistent and machine-readable formats.
