Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of over 6 months, offering a pay rate of $75.00 - $85.00/hr. Key skills required include AWS technologies, data pipeline design, and Apache Spark.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date discovered
May 21, 2025
🕒 - Project duration
More than 6 months
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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
Bellevue, WA
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🧠 - Skills detailed
#Infrastructure as Code (IaC) #Consulting #ML (Machine Learning) #AWS (Amazon Web Services) #AWS IAM (AWS Identity and Access Management) #IAM (Identity and Access Management) #Data Warehouse #Cloud #Data Engineering #Lambda (AWS Lambda) #Data Stewardship #"ETL (Extract #Transform #Load)" #Apache Spark #Base #Spark (Apache Spark) #Big Data #Data Modeling #Data Dictionary #AI (Artificial Intelligence) #Consul #HTTP & HTTPS (Hypertext Transfer Protocol & Hypertext Transfer Protocol Secure) #Scala #BI (Business Intelligence) #S3 (Amazon Simple Storage Service) #Data Lake #Airflow #Data Pipeline
Role description
Payrate: $75.00 - $85.00/hr.
Key job responsibilities:
• Design, implement and maintain data infrastructure including data modeling, ETL pipelines, and ongoing maintenance.
• Partner with product, operational, and technical teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation, Glue, S3, MWAA, Lambda, etc.).
• Build a data dictionary, catalog and governance plan and manage and audit all of the registered data via robust mechanisms.
• Work with data consumers to provide and correlate the right data for business intelligence and machine learning use-cases.
• Develop automated solutions to minimize manual processes with focus on efficiency and scalability.
• Provide guidance on data stewardship for teams onboarding to the central data systems.
Must have skills for this role:
• Infrastructure as code (preferably AWS CDK/CloudFormation)
• Developing and maintaining data lake and data warehouse environments
• AWS IAM based access controls
• Deploying and managing servers and server-less analytics stacks
• Deploying and maintaining a self-hosted Airflow environment
• Data pipeline design, implementation, and maintenance
• Apache Spark
Pay Transparency: The typical base pay for this role across the U.S. is: $75.00 - $85.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, paid days off based on tenure, up to 40 hours paid sick time, 401(k) plan participation, commuter benefits and life and disability insurance.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (https://www.aditiconsulting.com/privacy-policy).
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions. By applying to this position, you agree to Aditi’s use of AI technology, including calls from an AI Voice Recruiter.
#AditiConsulting
Payrate: $75.00 - $85.00/hr.
Key job responsibilities:
• Design, implement and maintain data infrastructure including data modeling, ETL pipelines, and ongoing maintenance.
• Partner with product, operational, and technical teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation, Glue, S3, MWAA, Lambda, etc.).
• Build a data dictionary, catalog and governance plan and manage and audit all of the registered data via robust mechanisms.
• Work with data consumers to provide and correlate the right data for business intelligence and machine learning use-cases.
• Develop automated solutions to minimize manual processes with focus on efficiency and scalability.
• Provide guidance on data stewardship for teams onboarding to the central data systems.
Must have skills for this role:
• Infrastructure as code (preferably AWS CDK/CloudFormation)
• Developing and maintaining data lake and data warehouse environments
• AWS IAM based access controls
• Deploying and managing servers and server-less analytics stacks
• Deploying and maintaining a self-hosted Airflow environment
• Data pipeline design, implementation, and maintenance
• Apache Spark
Pay Transparency: The typical base pay for this role across the U.S. is: $75.00 - $85.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, paid days off based on tenure, up to 40 hours paid sick time, 401(k) plan participation, commuter benefits and life and disability insurance.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (https://www.aditiconsulting.com/privacy-policy).
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions. By applying to this position, you agree to Aditi’s use of AI technology, including calls from an AI Voice Recruiter.
#AditiConsulting
