The Cloud Data Engineer will engage in a broad range of tasks related to the development, deployment, and maintenance of cloud-based infrastructure and applications. This is a fully remote (EST Core Hours) long term contract engagement. Responsibilities include enabling collaboration, automation, and efficiency in the development of cloud-based micro frontend applications, thereby facilitating the rapid delivery of high-quality software and services to customers.
This position requires technical proficiency in AWS cloud development with Data engineering & full stack skills including glue, Athena, RDS, Snowflake Integrations, ELT&ETLs, lambda, API Gateway, node js and react js etc., adherence to software engineering best practices, and alignment with the agency’s technical direction & data policies. Additionally, the role involves collaboration with teams on leveraging the possibilities of common components and technology solutions to ensure successful adoption and implementation.
We can provide a starting hourly rate between $45-$60/hr depending on candidate previous experience.
Must Haves:
- 7+ years’ experience in Cloud Engineering/Data Engineering with 7+ years’ experience using Python and/or NodeJS AWS technologies
- Experience in Python/PySpark and SQL
- Proficiency in data services orchestrion: Strong proficiency in cloud platforms, leveraging native cloud services data orchestration solution.
- Expertise in designing, developing, and maintaining APIs specifically tailored for cloud environments including AWS API Gateway.
- Understanding of cloud networking concepts including VPCs, subnets, security groups and cloud security best practices, including identity and access management (IAM). Securing application through role-based authorization, single sign on, and Coginto
- Experience with serverless computing concepts, event-driven architecture, and serverless platforms.
- Automate the provisioning and management of cloud infrastructure using tools like AWS CloudFormation and Terraform.
- Ability to write scripts and automate tasks using scripting languages including NodeJS and Python.
- Experience in setting up alerts, dashboards, and logs for cloud infrastructure and applications.
- Strong understanding of DevOps practices, including developing and optimizing CI/CD pipelines, version control, and collaboration tools including AWS CodePipeline and Github.
Plusses:
- AWS Data Engineer Associate and Solution Architect Professional Certification
