

CLOUD Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Data Engineer on a federal contract, remote, with a contract-to-hire duration. Pay is $60-$65/hr initially, increasing to $125-$130k upon conversion. Requires a Bachelor's, 6+ years in data analytics, and 3+ years in Python/NodeJS development.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
1040
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ποΈ - Date discovered
July 9, 2025
π - Project duration
Unknown
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ποΈ - Location type
Remote
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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
#Data Management #Apache Iceberg #Computer Science #SQS (Simple Queue Service) #Google Analytics #Storage #S3 (Amazon Simple Storage Service) #Databases #Elasticsearch #Athena #Visualization #AWS (Amazon Web Services) #DevOps #Data Pipeline #GA4 (Google Analytics 4) #AI (Artificial Intelligence) #Data Engineering #Lambda (AWS Lambda) #Terraform #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Automation #Leadership #Data Lake #Data Storage #Automated Testing #Monitoring #NoSQL #Data Analysis #Python #Data Lakehouse #GIT #Cloud
Role description
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Position is a federal contract. We need candidates who can pass public trust clearence . No sponsorship candidates are accepted
Position: Data Analyst
Location: Remote
Duration: contract to hire
Pay- 60 to 65/hr during contract and 125 to 130k at conversion
β’ Must be able to work the hours of 8am-5pm Eastern Time regardless of your home location
β’ Bachelor's Degree is required
β’ Minimum of 6 years experience in a data analytics role
β’ Minimum of 3 years experience developing applications leveraging Python and/or NodeJS
The Role:
We are looking for a Senior Software Engineer (Data Analytics) who is a key development team member supporting the evolution and sustainment of data analytics services for enterprise systems and supporting infrastructure. In this role, the Senior Software Engineer (Data Analytics) will support the collection, curation, visualization, and automated reporting of information and insights across a suite of data analytics platforms spanning cloud hosted services (Cloud Metrics) and end-user community engagement (Google Analytics).
β’ Design, development, evolution, and sustainment of data analytics infrastructures including AWS Athena/S3, Elasticsearch, and Google Analytics
β’ Implementing and refining data pipelines for the extract, transform, and load (ETL) of new data streams
β’ Support data management activities including retention, curation, catalog management, and schema development or extensions with focus on data management automation wherever practical.
β’ Preparing data visualizations and reporting for both internal application development teams and program leadership via Kibana, AWS QuickSight, Google Analytics 4
Education and Experience:
Required
β’ Bachelorβs degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related discipline
β’ 6+ years of experience in an engineering role related to data analytics.
β’ Strong experience with modern architectures for data storage, transformation, and governance (i.e. data lakehouse or data mesh)
β’ Experience with a range of data storage technologies (i.e. Apache Parquet, Apache Iceberg, SQL databases, no-SQL databases)
β’ Experience developing cloud-hosted application using cloud-native / serverless services such as Lambda, Elastic Container Service, Fargate, SQS, Step Functions, CloudWatch, Kinesis, Glue, and Athena
β’ Experience architecting cloud-native solutions using best practices, such as the AWS Well Architected Framework.
β’ Experience with infrastructure automation via Terraform or CloudFormation
β’ Familiarity with DevOps development practices including source code management with Git, CI/CD and automated testing.
β’ Demonstrated experience communicating with technical information, especially as relates to system architecture and design.
β’ 3+ years of experience developing applications leveraging Python and/or NodeJS
Desired Skills/Experience
β’ Experience with Elasticsearch data cluster sustainment and visualization via Kibana
β’ Experience with tracking and reporting application usage metrics via Google Analytics in an enterprise setting
β’ Experience providing operational support, including monitoring systems, troubleshooting issues, and implementing bugfixes.
β’ Experience providing responsive customer support via a service desk. Track record of maintaining positive user and customer relationships.
β’ Familiarity with data analytics techniques (statistical analysis and/or AI/ML)