Job Description
Responsibilities
• Design, build, maintain, and optimize scalable data pipelines and solutions within Google Cloud Platform (GCP)
• Support ongoing maintenance and improvement of a GCP-based data platform, ensuring reliability and performance
• Analyze, troubleshoot, and stabilize existing data jobs and pipelines, improving efficiency and scalability
• Lead lift-and-shift migrations from legacy cloud environments to modern GCP architecture
• Modernize and refactor legacy Python and SQL codebases, establishing standardized development practices
• Develop, maintain, and deploy Python scripts for ETL, data processing, and automation
• Write and optimize complex SQL queries across platforms such as BigQuery and Snowflake
• Build and enhance applications and data products to support business and analytics needs
• Integrate with and manage data from third-party APIs
• Support and drive GitHub-based deployments and migrations, including CI/CD best practices
• Contribute to the buildout and evolution of new GCP architecture, including scalable frameworks and processes
• Collaborate with cross-functional teams to align on modernization strategies and cloud best practices
• Implement and promote cloud architecture standards and scalable operational procedures
• Participate in code reviews, documentation, and continuous improvement initiatives
Operate as a standalone contributor, independently owning deliverables while remaining collaborative
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 HR@insightglobal.com.To 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/.
Required Skills & Experience
Required Qualifications
• 6+ years of experience in Data Engineering or similar role
• Strong experience with Google Cloud Platform (GCP) and cloud architecture design
• Proven ability to scale cloud jobs and data pipelines
• Proficiency in Python and SQL for data engineering and ETL development
• Experience modernizing legacy systems and migrating to cloud-native architecture
• Hands-on experience with GitHub and version control best practices
• Ability to be a sole contributor/stand-alone worker
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.