Job Description
Design, develop, and maintain scalable AWS-based data pipelines and data platforms.
Build and optimize data ingestion, transformation, and storage solutions for enterprise-wide reporting and analytics.
Partner with business stakeholders, analysts, and data scientists to support operational and strategic initiatives.
Develop and maintain ETL/ELT processes using modern cloud technologies.
Support enterprise reporting, business intelligence, and self-service analytics capabilities.
Establish data quality frameworks and monitoring processes.
Collaborate on data governance, metadata management, and Master Data Management (MDM) initiatives.
Support integration of ERP, HR, SCADA, GIS, Asset Management, and Customer Information Systems (CIS).
Contribute to AI and machine learning readiness by ensuring clean, governed, accessible data.
Mentor junior engineers and establish engineering best practices.
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
10+ years of Data Engineering experience.
3+ years designing and supporting cloud-native data solutions in AWS.
Strong experience with:
AWS (S3, Glue, Lambda, Redshift, EMR, Athena)
Python
SQL
Spark/PySpark
Data Warehousing
ETL/ELT development
Experience building enterprise-scale data platforms.
Experience supporting analytics, BI, and reporting environments.
Strong understanding of data governance, data modeling, and data quality.
Experience working in Agile environments.
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.