Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
IG
Insight Global
AI Engineer
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
99
out of 100
Average of individual scores
Job Description
Job Description We are seeking a Data Engineer / Software Engineer to support enterprise data modernization initiatives focused on AWS, Snowflake, and AI-enabled data solutions. This individual will work closely with data, reporting, and application teams to maintain and enhance existing data pipelines, build integrations, troubleshoot data issues, and support ongoing platform enhancements.
Design, maintain, and optimize data pipelines within AWS and Snowflake environments.
Develop and support integrations using APIs and Kafka topics.
Troubleshoot performance, data quality, and reporting issues across the data platform.
Support the migration and replacement of legacy reporting solutions with modern reporting capabilities.
Work with data lake architecture, including bronze-layer data ingestion and transformation processes.
Perform data modeling and support reporting and analytics components.
Investigate and resolve data congestion, framework, and pipeline issues.
Collaborate with business and technical stakeholders to adjust and refine data models supporting operational reporting.
Create and maintain Python scripts to automate data processing and platform support activities. Skills and Requirements 5+ years of engineering experienceStrong experience with Snowflake and AWS.Hands-on experience with Kafka, APIs, and data integration.
Advanced SQL and query optimization skills.
Data warehousing, data lake, and data modeling expertise.
Strong troubleshooting and root-cause analysis abilities.
Experience supporting reporting and analytics platforms.
Python scripting experience.
Ability to operate in a DBA-style support and engineering capacity when diagnosing platform issues.
Background modernizing legacy data and reporting platforms.
Familiarity with large-scale enterprise data environments and cloud-based architectures. 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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 the recruiting process, please send a request to HR@insightglobal.com.
Design, maintain, and optimize data pipelines within AWS and Snowflake environments.
Develop and support integrations using APIs and Kafka topics.
Troubleshoot performance, data quality, and reporting issues across the data platform.
Support the migration and replacement of legacy reporting solutions with modern reporting capabilities.
Work with data lake architecture, including bronze-layer data ingestion and transformation processes.
Perform data modeling and support reporting and analytics components.
Investigate and resolve data congestion, framework, and pipeline issues.
Collaborate with business and technical stakeholders to adjust and refine data models supporting operational reporting.
Create and maintain Python scripts to automate data processing and platform support activities. Skills and Requirements 5+ years of engineering experienceStrong experience with Snowflake and AWS.Hands-on experience with Kafka, APIs, and data integration.
Advanced SQL and query optimization skills.
Data warehousing, data lake, and data modeling expertise.
Strong troubleshooting and root-cause analysis abilities.
Experience supporting reporting and analytics platforms.
Python scripting experience.
Ability to operate in a DBA-style support and engineering capacity when diagnosing platform issues.
Background modernizing legacy data and reporting platforms.
Familiarity with large-scale enterprise data environments and cloud-based architectures. 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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 the recruiting process, please send a request to HR@insightglobal.com.
Benefits
- Dental Insurance