Job Description
About the Role
We are seeking highly motivated and self-driven Data Engineers to join a dynamic team focused on building scalable, production-grade data solutions. This role is ideal for engineers who thrive in ambiguous environments, take ownership of end-to-end delivery, and enjoy collaborating across cross-functional teams.
You will play a key role in designing, building, and maintaining data pipelines that power business-critical insights, while ensuring high standards of data accuracy, performance, and scalability.
Key Responsibilities
• Design, build, and maintain robust data pipelines and transformations (ETL/ELT)
• Perform data validation, debugging, and root cause analysis to ensure data integrity
• Partner with data, product, and engineering teams to deliver solutions aligned with business needs
• Support production issues and ensure timely resolution with minimal impact
• Continuously improve existing data systems and contribute to backlog enhancements
• Maintain strong documentation, governance, and best practices across data workflows
• Deliver high-quality, production-ready data solutions with a focus on reliability and performance
Core Expectations
• Operate as a self-starter, able to take ambiguous problems and drive them to resolution
• Demonstrate strong ownership mindset and accountability for deliverables
• Communicate effectively with stakeholders on progress, risks, and dependencies
• Contribute to operational stability initiatives and system reliability
• Maintain a strong focus on scalability, performance, and data accuracy
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
• Advanced SQL expertise (complex queries, optimization, and data validation)
• Hands-on experience with Google Cloud Platform (GCP), especially BigQuery
• Proficiency in Python and/or Node.js for data processing and automation
• Strong experience building and maintaining data pipelines (ETL/ELT)
• Excellent problem-solving skills with the ability to work independently
• Strong communication and collaboration skills in cross-functional environments
Nice to Have Skills & Experience
• Experience with data orchestration tools (e.g., Airflow, dbt)
• Exposure to large-scale data environments and cloud-native architectures
• Background in data modeling, warehousing, or analytics platforms
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.