Data Engineer
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At a glance
Job overview
Insight Global is hiring a Data Engineer. The Data Engineer will design, develop, and maintain scalable AWS-based data pipelines and platforms. This role involves building and optimizing data ingestion, transformation, and storage solutions for enterprise-wide reporting and analytics. The engineer will partner with business stakeholders, analysts, and data scientists to support operational and strategic initiatives, and develop ETL/ELT processes using modern cloud technologies.
Key focus areas include 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, and Partner with business stakeholders, analysts, and data scientists to support operational and strategic initiatives.
Successful candidates bring 10+ Years Data Engineering Experience, 3+ Years Designing And Supporting Cloud-Native Data Solutions In AWS, and Experience Building Enterprise-Scale Data Platforms. Important skills include AWS, Amazon S3, AWS Glue, AWS Lambda, Redshift, and EMR.
Skills & qualifications
Skills
Qualifications
Full job description
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 [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 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.
You've read the whole posting — now see how you match it.