• Sr Data Engineer

    Insight Global (Dublin, CA)


    Job Description

    We are looking to hire a Data Engineer to join our project! We need someone who has strong hands-on experience in building data pipelines and infrastructure in AWS. Ideally, we’re aiming for someone with a blend of skills: approximately 70% AWS engineering and 30% data analytics. They are just rolling out AWS and need someone who can support this. They will be supporting the Systems Inspections organization and working in a fast paced environment.

     

    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

    • Experience building AWS infrastructure from the ground up.

    • Hands-on experience setting up infrastructure using Terraform and Terraform Cloud (must).

    • Experience configuring and deploying Lambda functions.

    • Strong proficiency in AWS services: SES, EventBridge, CodeBuild, IAM, CloudWatch, S3.

    • Experience setting up and managing EC2 instances.

    • Experience setting up and managing databases such as Amazon Redshift and Amazon RDS.

    • Understanding of VPC, subnets, and security groups for network configuration.

    • Proficiency with Git for version control.

    • Familiarity with CI/CD pipelines and DevOps practices.

    • Solid understanding of data modeling and warehousing.

    • Proficiency in Python for scripting, automation, and data tasks.

    • Strong working knowledge of SQL.

    • Experience working in fast-paced environments like startups, retail, or airports

    • Proven ability to work effectively in a fast-moving, deadline-driven environment

    • Strong organizational and time management skills with the ability to adapt to changing priorities

     

    Power BI Experience Prior PG&E Experience