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Manager Raisers Edge Database Jobs in Cornelius, NC

Cenero, LLC

Project Manager

Charlotte, NC · On-site

Our goal is helping companies gain a competitive edge by leveraging audio visual and conferencing ... Manage and maintain project records, electronic files and database information ensuring compliance ...

Cenero, LLC

Project Manager

Charlotte, NC · On-site +1

Our goal is helping companies gain a competitive edge by leveraging audio visual and conferencing ... Manage and maintain project records, electronic files and database information ensuring compliance ...

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Manager Raisers Edge Database information

See Cornelius, NC salary details

$28.7K

$89.9K

$159.2K

How much do manager raisers edge database jobs pay per year?

As of Aug 7, 2026, the average yearly pay for manager raisers edge database in Cornelius, NC is $89,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $116,100.00 per year, depending on experience, location, and employer.

What is the difference between Manager Raisers Edge Database vs Data Analyst?

AspectManager Raisers Edge DatabaseData Analyst
Primary RoleManages and maintains Raisers Edge database, oversees data integrity, and supports fundraising efforts.Analyzes data to identify trends, generate reports, and support decision-making across various departments.
Required SkillsDatabase management, fundraising software proficiency, attention to detailStatistical analysis, data visualization, Excel, SQL
Work EnvironmentNonprofit organizations, development officesVarious industries including finance, marketing, healthcare

The Manager Raisers Edge Database focuses on managing donor data within nonprofit organizations, ensuring data accuracy for fundraising. In contrast, a Data Analyst interprets data across multiple sectors to inform strategic decisions. While both roles require data handling skills, their core responsibilities and work environments differ significantly.

Manager Raisers Edge Database jobs near you

GCP AI Engineer

TestingXperts Inc. DBA Damcosoft

Charlotte, NC • On-site

Contractor

Re-posted 14 days ago

Job description

Hello,

My name is Sreeja and I represent TestingXperts Inc. TestingXperts is a Specialist QA & Software Testing Company, and an Independent Software Testing division of Damco Group, which is a leading IT Solutions and Services company working with Fortune Enterprises globally. Inheriting the virtues of job quality and optimal user satisfaction from Damco Group, TestingXperts aims at promoting the ethics of connected innovation, thereby seeding the integral values in our employees and achieving unmatched contentment in our clients. To know more about Testingxperts Inc., please visit our website www.testingxperts.com.

If you are interested in the opportunity listed below, please forward your updated resume along with current contact information, or perhaps you can recommend someone who would be interested in this position

Role : GCP AI Engineer

Location : Irving, TX, or Charlotte (100% Onsite)

No of roles : 15

Year of Experience : 3-7 yrs

Job Summary:
We are seeking an innovative and highly skilled AI Engineer to join our dynamic team. The ideal candidate will bridge the gap between traditional software engineering and cutting-edge artificial intelligence. You will be instrumental in designing, building, and deploying advanced AI agents, working closely with Large Language Models (LLMs), and driving automated code generation initiatives. If you have a strong foundation in Java and Python, coupled with hands-on experience using Google's AI tools, we want you to help us build the next generation of intelligent applications

Key Responsibilities:

·       AI Agent Development: Design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex workflows.

·       LLM Integration: Integrate cutting-edge Large Language Models (LLMs) into our core products and services to enhance functionality and user experience.

·       Model Context Protocol (MCP) Implementation: Utilize the Model Context Protocol (MCP) to securely connect our AI models to various data sources, tools, and development environments.

·       Automated Code Generation: Leverage AI and LLMs to build systems that assist in, or fully automate, code generation, testing, and optimization processes.

·       System Engineering: Write clean, scalable, and maintainable code in both Java and Python to support AI backend infrastructure.

·       Google Ecosystem Integration: Utilize Google ADK (AI Developer Kits) and related Google Cloud AI services (e.g., Vertex AI, Gemini APIs) to deploy robust AI solutions.

·       Cross-Functional Collaboration: Work closely with product managers, data scientists, and frontend engineers to translate business requirements into technical AI solutions.

Must-Have Qualifications:

·       Programming Languages: Strong proficiency in both Java and Python, with a proven track record of building production-grade software.

·       Google AI Tools: Hands-on experience with Google ADK (or equivalent Google Cloud AI/Vertex AI tools).

·       LLM Expertise: Deep comfort level and practical experience working with Large Language Models (prompt engineering, fine-tuning, RAG architectures).

·       Agentic Workflows: Demonstrable experience in building and orchestrating AI Agents (using frameworks like LangChain, LangGraph, or custom implementations).

·       MCP Knowledge: Familiarity and practical experience with the Model Context Protocol (MCP) for standardizing AI interactions with external tools.

·       Code Generation: Experience in leveraging AI tools or building pipelines specifically for code generation and software automation.

Good-to-Have (Optional but highly valued):

·       Experience with modern robust backend frameworks (e.g., Spring Boot for Java, FastAPI for Python).

·       Familiarity with containerization and orchestration (Docker, Kubernetes).

·       Experience with vector databases (e.g., Pinecone, Weaviate, Milvus).