Engineering Associate – Enterprise Data Technology, Operations

Jobtailor

North Carolina

Hybrid

USD 64,000 - 86,000

Full time

4 days ago

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Job summary

Jobtailor is seeking a software engineer to develop and maintain applications, APIs, and data pipelines, collaborating with engineers, analysts, and business partners to deliver technology solutions.

You will support data integration, governance, and quality, participate in AGILE practices, and apply secure coding standards while leveraging AI-assisted development tools to improve productivity and outcomes.

Qualifications

6+ months of Technology Engineering and Solutions experience or equivalent
6+ months of experience developing software solutions using Python, Java, C#, or similar languages
6+ months of experience writing SQL queries and working with relational databases
Experience building, testing, debugging, or maintaining software applications, APIs, automation solutions, or data processing workflows
6+ months of experience using Git, GitHub, or similar version control tools
Understanding of object-oriented programming, APIs, data structures, algorithms, and secure coding practices
Experience with cloud technologies, data platforms, or distributed computing environments
Knowledge of data engineering concepts, including data pipelines, ETL/ELT processing, data integration, and data quality management
Experience using AI-assisted development tools such as GitHub Copilot, M365 Copilot, Cursor, Claude Code, or similar technologies
Ability to troubleshoot technical issues, analyze root causes, and implement effective solutions
Relocation assistance is not provided
Not eligible for Visa sponsorship

Responsibilities

Develop, test, debug, and maintain software applications, APIs, automation solutions, and data pipelines
Collaborate with engineers, analysts, architects, and business partners to deliver technology solutions
Support data integration and processing solutions across multiple systems
Assist with data governance, metadata, and data quality capabilities through technology solutions
Analyze issues and implement solutions
Participate in testing, code reviews, deployments, and production support
Contribute to cloud-based and on-premises environments through development and operations
Create and maintain technical, process, and knowledge documentation
Participate in Agile practices, including sprint planning and standups
Apply secure coding standards and enterprise policies
Use approved AI tools to improve productivity and code quality

Skills

Strong verbal communication

Strong written communication

Task management

Collaboration

Problem-solving

Agile practices

Education

Bachelor’s in computer science or related field

Tools

Git

GitHub

GitHub Copilot

M365 Copilot

SQL

Microsoft Excel

Microsoft Word

Microsoft Outlook

Microsoft PowerPoint

Job description

Develop, test, debug, and maintain software applications, APIs, automation solutions, and data pipelines supporting enterprise data platforms and services
Collaborate with engineers, analysts, architects, and business partners to deliver technology solutions
Support data integration and processing solutions that move, transform, and validate data across multiple systems
Assist with enterprise data governance, metadata, and data quality capabilities through technology solutions and automation
Analyze application, platform, and data-related issues and implement solutions
Participate in software testing, code reviews, deployments, and production support
Contribute to cloud-based and on-premises technology environments through development, monitoring, and operational support
Create and maintain technical, process, and knowledge documentation
Participate in Agile practices, including sprint planning, daily standups, retrospectives, and backlog refinement
Apply secure coding standards, engineering best practices, and enterprise technology policies
Use approved AI tools such as GitHub Copilot and M365 Copilot to improve productivity, code quality, documentation, and delivery outcomes
Participate in the two-year CODE Program, including training, mentorship, networking events, and career development activities

Requirements

6+ months of Technology Engineering and Solutions experience, or equivalent demonstrated through work experience, training, military experience, or education
6+ months of experience through internships, co-ops, work experience, research projects, or academic projects developing software solutions using Python, Java, C#, or similar programming languages
6+ months of experience writing SQL queries and working with relational databases
Experience building, testing, debugging, or maintaining software applications, APIs, automation solutions, or data processing workflows
6+ months of experience using Git, GitHub, or similar version control tools in a collaborative development environment
Understanding of object-oriented programming, APIs, data structures, algorithms, and secure coding practices
Experience with cloud technologies, data platforms, or distributed computing environments
Knowledge of data engineering concepts, including data pipelines, ETL/ELT processing, data integration, and data quality management
Experience using AI-assisted development tools such as GitHub Copilot, M365 Copilot, Cursor, Claude Code, or similar technologies
Ability to troubleshoot technical issues, analyze root causes, and implement effective solutions
Strong verbal and written communication skills
Proficiency in Microsoft Excel, Word, Outlook, and PowerPoint
Ability to communicate technical issues or access-related concerns across technical and non-technical teams
Ability to manage multiple tasks simultaneously and meet deadlines
Bachelor’s in computer science or related field preferred but not required
Must be able to begin employment by October 25, 2026, in a full-time capacity
Must work from the designated posted office location and meet the current hybrid work schedule, including regular in-office attendance
Must actively participate in the two-year CODE Program
Relocation assistance is not provided
Not eligible for Visa sponsorship

Core Competencies

Demonstrates expertise in software development, data engineering, and automation solutions, with a strong focus on collaboration and effective communication across technical and non-technical teams. Proficient in utilizing cloud technologies and AI-assisted development tools to enhance productivity and code quality.

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