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Title: Data Engineer
Location: Overland Park,KS
Position Type: Full Time
Compensation
Pay Range:$140,000 Per Year
Job Description:
Join our team as a Data Engineer in Overland Park, KS, where you will be responsible for building and operating data systems that enhance business intelligence and AI capabilities.
This full-time role requires expertise in creating reliable data pipelines and models to support analytics and operational efficiency using modern data technologies.
Key Responsibilities
Develop and manage data extraction, transformation, and loading processes from various systems into a centralized data storage solution for analytics.
Design clean, documented, and testable datasets, ensuring standardized report inputs.
Oversee data orchestration and scheduling, implementing data quality tests and maintaining data lineage documentation.
Manage data security and governance, including access controls and privacy compliance.
Create automations for monitoring data processes and develop dashboards for operational insights.
Qualifications
Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field, or equivalent experience.
2-5 years of experience in data or analytics engineering, with a focus on production orchestration and CI/CD practices.
Proficiency in SQL and a programming language, with strong testing and code review skills.
Experience with cloud-based data solutions, data integration, and API management.
Strong documentation and communication skills.
Core Technologies
SQL | Python | Cloud Data Solutions | Data Integration Tools | API Management
Contact Information
Bonnie Elton,
Onboarding Expectations
Learn more about our Onboarding Process here
EEO Statement
Learn more about our EEO policy here
Title: Data Engineer
Location: Overland Park,KS
Position Type: Full Time
Compensation
Pay Range:$140,000 Per Year
Job Description:
Join our team as a Data Engineer in Overland Park, KS, where you will be responsible for building and operating data systems that enhance business intelligence and AI capabilities.
This full-time role requires expertise in creating reliable data pipelines and models to support analytics and operational efficiency using modern data technologies.
Key Responsibilities
Develop and manage data extraction, transformation, and loading processes from various systems into a centralized data storage solution for analytics.
Design clean, documented, and testable datasets, ensuring standardized report inputs.
Oversee data orchestration and scheduling, implementing data quality tests and maintaining data lineage documentation.
Manage data security and governance, including access controls and privacy compliance.
Create automations for monitoring data processes and develop dashboards for operational insights.
Qualifications
Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field, or equivalent experience.
2-5 years of experience in data or analytics engineering, with a focus on production orchestration and CI/CD practices.
Proficiency in SQL and a programming language, with strong testing and code review skills.
Experience with cloud-based data solutions, data integration, and API management.
Strong documentation and communication skills.
Core Technologies
SQL | Python | Cloud Data Solutions | Data Integration Tools | API Management
Contact Information
Bonnie Elton,
Onboarding Expectations
Learn more about our Onboarding Process here
EEO Statement
Learn more about our EEO policy here
Salary : $140,000