• Sr Cloud Data Engineer

    Insight Global (Richmond, VA)


    Job Description

    The Sr Cloud Data Engineer will engage in a broad range of tasks related to the development, deployment, and maintenance of cloud-based infrastructure and applications. 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.

     

    The hourly pay rate is $60-72/hr and based on experience.

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

     

    Skills and Requirements

     

    - 10+ years’ experience in Cloud Engineering/Data Engineering with 10+ years’ experience using Python and/or NodeJS AWS technologies

     

    - Expertise in developing AWS full stack applications: Translate business requirements into fully tested applications workflows by designing, implementing, and maintaining technology assets using approved tools and plugins for AWS for python.

     

    - 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. - AWS Data Engineer Associate and Solution Architect Professional Certification