Charlotte, NC

Developer Jobs in Charlotte, NC

53 jobs found

Include remote jobs

13d ago

Associate Data Engineer (Python / Azure)

Huxley Charlotte, NC

Charlotte, NC

13d ago

$100k - $100k/yr Full time Backend Developer Python Azure

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Job Description

This early-career Associate Data Engineer role in Charlotte, NC supports financial crime analytics within the Anti-Money Laundering (AML) domain. You will design, build, and deliver data-driven solutions using the Quantexa platform in an agile delivery environment.

Responsibilities

Partner with business stakeholders and product owners to clarify requirements, define acceptance criteria, and convert use cases into user stories and business rules.
Review source systems and enterprise datasets to establish data mappings, transformation logic, and data quality rules that align with Quantexa standards.
Design, build, and maintain data pipelines and transformations that enable analytics, reporting, and investigative workflows.
Configure and support end-to-end Quantexa solutions, including entity resolution, network modeling, scoring logic, validation, and UI components.
Participate in agile ceremonies, including sprint planning and backlog refinement, to ensure the delivery team clearly understands requirements.
Document data logic, mappings, and solution design to support transparency, auditability, and effective knowledge transfer.
Detect data inconsistencies, inefficiencies, or reliability risks and propose improvements to enhance solution performance.
Contribute to unit testing and validation to confirm solutions meet defined business and technical standards.

Requirements

Working knowledge of Python or Java and relational data models.
Experience with cloud platforms including Azure and Databricks.
Experience with developer tools including Git, JIRA, and Confluence.
Location: Charlotte, North Carolina (onsite/hybrid as determined by the client).
Experience level: Early-career / junior-level data engineer.
Domain focus: Financial Crime Analytics, primarily Anti-Money Laundering (AML).
Platform: Quantexa, including entity resolution, network analytics, and risk scoring.
Employment type: Full-time.
Methodology: Agile, including sprint planning and backlog refinement with iterative delivery.

Core Skills and What You Will Apply

Stakeholder collaboration: Translate business needs into acceptance criteria, user stories, and business rules.
Data analysis and mapping: Define mappings and transformation logic, along with data quality rules aligned to Quantexa.
Pipeline development: Build and maintain pipelines supporting analytics, reporting, and investigation workflows.
Quantexa configuration: Support entity resolution, network modeling, scoring logic, validation, and UI components.
Documentation: Maintain clear records of data logic, mappings, and solution design.
Data quality improvement: Identify issues impacting performance and recommend changes.
Testing support: Help validate solutions through unit testing and checks against business and technical standards.

Technologies

Python, Java
Azure, Databricks
Git
JIRA
Confluence

Role Details

Location: Charlotte, NC (hybrid/onsite as determined by client)
Salary: USD 100,000 per year
Domain: Financial Crime Analytics (AML)
Platform: Quantexa (entity resolution, network analytics, risk scoring)
Engagement: Full-time
Delivery approach: Agile (sprint planning, backlog refinement, iterative delivery)

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13d ago

Senior Machine Learning Engineer

Motion Recruitment Charlotte, NC

Charlotte, NC

13d ago

Full time Senior Agentic Ai Ai Agent

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Job Description

The Senior Machine Learning Engineer will help shape the architecture of scalable AI and machine learning systems, including agentic workflows, in a hybrid role based in Charlotte, North Carolina. This position focuses on building and deploying advanced AI models and retrieval systems for a highly regulated professional-services environment.

Role Overview

Define and evolve the technical foundation for large-scale AI/ML capabilities, spanning model development, retrieval systems, and enterprise workflows. Work with engineering partners to ensure solutions are designed for scalability and security in regulated use cases.

Responsibilities

Build and deploy advanced AI and machine learning models supporting professional research tools
Design and improve large-scale distributed machine learning systems and enterprise platforms
Develop and integrate agent-based AI workflows and retrieval systems
Collaborate with engineering teams to deliver AI solutions that meet scalability and security requirements

Required Qualifications

Strong experience with AI/ML and agentic workflows
Strong experience with LLM and RAG architecture
Experience with vector databases
Exposure to MLOps
Proficiency with Python
Exposure to AWS and Kubernetes

Technologies

Python
AWS
Kubernetes

Desired Skills and Experience

Experience building technology for the legal, compliance, or another highly regulated industry
12+ years of development experience, or 8+ years of development experience with a PhD
Degree in a relevant field

Work Location

This role is a hybrid position in Charlotte, North Carolina.

Benefits

Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k), including company match where applicable
Bonus eligible

Authorization to Work

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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1mo ago

Web Developers

Durham Technical Community College Charlotte, NC

Charlotte, NC

1mo ago Closed

$53k - $91k/yr Full time Backend Developer Data Processing Database

This position is no longer accepting applications (closed Aug 31, 2026).

Job Description

Durham Technical Community College is hiring Web Developers for on-site roles in North Carolina.

Responsibilities

Design, build, and deploy websites
Design, build, and deploy web applications
Design, build, and deploy application databases
Create interactive web interfaces
Review code to ensure proper structure
Adhere to industry coding standards
Ensure cross-browser and cross-device compatibility
Enhance website performance
Improve site scalability
Improve server-side code and processes
Establish and maintain website infrastructure
Integrate websites with other software systems

Starting Salary

$52,959
NC TRIANGLE AREA

Median Annual Wage

$90,577
NC TRIANGLE AREA

5-Year Job Outlook

+8.8%
NC TRIANGLE AREA

Annual Job Openings

483
NC TRIANGLE AREA

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1mo ago

Data Engineer-Data Platform & Analytics

Moody's Charlotte, NC

Charlotte, NC

1mo ago Closed

$96k - $139k/yr Full time Big Data Cloud Platform Cloud Platforms

This position is no longer accepting applications (closed Aug 31, 2026).

Job Description

Moody's offers a robust benefits package and a site-based role in Charlotte, NC. You will contribute to scalable data pipelines within Moody's Databricks ecosystem, supporting both enterprise and commercial data delivery. The team values reliability, observability, and responsible AI practices as part of a collaborative, growth-focused culture.

Benefits

Medical coverage
Dental coverage
Vision coverage
Parental leave
Paid time off
401(k) retirement plan with employer contributions
Life insurance
Disability coverage
Accident insurance
Discounted employee stock purchase plan
Tuition reimbursement

About the Team

This team sits at the core of Moody's Enterprise Data Platform (CORE), handling a highly complex and impactful portion of the data estate. It is a modern, innovation-driven data engineering group that powers Moody's extensive financial and corporate databases, enabling data-driven insights and supporting growth in an increasingly AI-enabled landscape.

Responsibilities

Design, build, and run scalable ETL and ELT pipelines to support enterprise and commercial data delivery within Moody's Databricks environment.
Develop and operate pipelines to ingest, transform, and publish data across domains.
Create and optimize data transformations and validations using Python, PySpark, Scala, and SQL.
Implement configuration-driven pipeline frameworks to onboard and manage datasets efficiently.
Ensure data products are structured, performant, and ready for downstream consumption.
Collaborate with stakeholders to define data contracts, schemas, SLAs, and quality standards.
Apply best practices for data reliability, observability, and cost optimization.
Contribute to CI/CD practices, including automated testing, deployment, and promotion.
Support data governance initiatives, including data quality, lineage, and access controls.

Requirements

Five or more years of experience in data engineering, building and operating production-grade data pipelines.
Strong programming experience with Python, PySpark, Scala, and SQL.
Proven experience designing or working with configuration- or metadata-driven data pipelines.
Hands-on experience working within a Databricks-based data platform.
Solid understanding of data modeling, schema evolution, and large-scale dataset management.
Experience deploying and operating data solutions in AWS and Azure cloud environments.
Working knowledge of CI/CD concepts and integrating data pipelines into automated workflows.
Demonstrated proficiency in AI tools to streamline workflows, with awareness of responsible and ethical AI use.

Technologies

Python
PySpark
Scala
SQL
Databricks
AWS
Azure

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1mo ago

Staff Software Engineer (with QE/ Automation Focus)

The Hartford Charlotte, NC

Charlotte, NC

1mo ago Closed

$116k - $174k/yr Full time APIs Engineering Information Technology (IT)

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

The Hartford is hiring a Staff Software Engineer focused on Quality Engineering and automation, onsite in Charlotte, NC.

Responsibilities

Define and govern the Quality Engineering strategy, standards, and operating model to ensure scalable, high-quality delivery.
Design and maintain automated test frameworks across applications to enable reliable validation of complex systems.
Lead hands-on automation efforts, review automation work from teams, and resolve advanced automation challenges.
Diagnose and fix defects across distributed systems and third party integrations.
Improve system testability, observability, and reliability through code contributions and design collaboration.
Guide end-to-end quality execution from ideation through production to ensure delivery of business capabilities with high quality.
Mentor engineers and SDETs on quality engineering best practices, automation patterns, and scalable test design approaches.
Promote and leverage AI and GenAI tools to enhance testing efficiency, effectiveness, and productivity.

Requirements

Minimum 8 years of software engineering experience, including at least 5 years in Quality Engineering, Test Automation, or quality leadership roles.
Proven experience testing and automating across diverse platforms (Java, .NET, SaaS, COTS, Mainframe) including cloud-native applications on AWS and/or GCP, with containerized and microservices architectures; strong API and contract testing experience (REST Assured, Postman/Newman) and performance, resilience, and reliability testing practices.
Advanced experience designing and scaling test automation frameworks across application tiers, with hands-on expertise in Playwright, Cypress, Selenium, JUnit/TestNG, NUnit, and PyTest.
Ability to define, track, and leverage quality metrics to drive measurable improvements such as defect reduction and defect leakage prevention.
Proven track record of testing and quality execution within Agile and scaled delivery environments, including sprint-level testing, end-to-end validation, and regression/stabilization testing.
Ability to balance hands-on technical delivery with strategic leadership, influencing quality practices across teams and technology stacks.
Strong analytical, problem-solving, communication, coaching, and collaboration skills, with the ability to translate quality risks into clear business and engineering trade-offs.
Bachelor’s degree in Computer Science, Engineering, or a related field.

Technologies

Java
.NET
SaaS
COTS
Mainframe
AWS
GCP
Containerized architectures
Microservices architectures
Playwright
Cypress
Selenium
JUnit
TestNG
NUnit
PyTest
REST Assured
Postman
Newman

Benefits

Short-term or annual bonuses
Long-term incentives
On-the-spot recognition

Compensation

Base pay range: $116,000 - $174,000 per year
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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1mo ago

Lead Data Engineer

American Red Cross Charlotte, NC 🇺🇸 Remote

Charlotte, NC

1mo ago Closed

$140k - $155k/yr Full time Senior Analytics AWS

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Join a mission driven team at the American Red Cross as a Lead Data Engineer on the Enterprise Data & Analytics Group. This role focuses on modernizing data architecture, building scalable data pipelines and an enterprise data warehouse, ensuring data quality, and mentoring teammates. The position is remote with in-person meetings as needed and periodic weekend rotation, based in North Carolina.

Benefits

Medical, dental, and vision plans
Health Spending Accounts and Flexible Spending Accounts
PTO and holidays
401K with up to 6% match
Paid family leave
Employee assistance programs
Short and long term disability and related insurance
Service awards and recognition

Responsibilities

Collaborate with analytics and business teams to refine data models that feed business intelligence tools, boosting data accessibility and enabling data driven decisions across the organization.
Design and implement scalable solutions aligned to data governance standards and the architectural roadmap for data integrations, storage, reporting, and analytics.
Develop, test, and validate data integration solutions; write, automate, and document unit, integration, and functional tests.
Oversee automated deployments via Git pipelines, ensuring changes are properly versioned and deployed efficiently.
Work with multiple teams to streamline deployment workflows and monitor pipelines for reliability and performance.
Analyze data issues to troubleshoot and build a data quality framework that supports issue resolution.
Act as a technical lead by mentoring junior engineers through code reviews, pair programming, and hands on guidance.

Requirements

Education: a four year college degree in Computer Science, Engineering, Mathematics, or related technical field, or an equivalent combination of education and experience.
10 years of relevant experience in data engineering, business intelligence, or related domains.
Authorized to work in the United States; the organization does not sponsor employment visas.
Experience with a range of database technologies and data warehouse schema design patterns.
Cloud based databases, with emphasis on AWS technologies.
Advanced SQL skills, including writing and optimizing queries for large, complex datasets.
Proficiency in Python coding.
Experience with AI assisted tools for code development, testing, and documentation across the software lifecycle (for example GitHub Copilot, Duo).
Experience creating ETL or ELT jobs.
DevOps practices and tools such as Git and Artifactory.
Familiarity with Agile software development methodologies.
Experience leading data engineering teams in onshore/offshore models, mentoring through code reviews and pair programming, and establishing team best practices.
Strong problem solving and troubleshooting skills; highly process oriented with good documentation practices.
Passion for the humanitarian mission of the Red Cross and a energized, committed approach to the role.

Technologies

AWS technologies
SQL
Python
Git
GitHub Copilot
Duo
ETL/ELT
Artifactory
DBT
Reltio
Profisee
Redshift
Snowflake
Star

Compensation and work setup

Annual salary range: USD 140,000 to 155,000. This role does not include an annual bonus. Salaries are aligned to the geographic location where the work is performed, and specific salary details will be discussed during the phone screening based on location and experience.

Work arrangement: Remote with in-person meetings as needed and periodic weekend rotation. Location: North Carolina (remote). Authorization to work in the United States is required; visa sponsorship is not provided.

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1mo ago

Hadoop and PySpark Developer

Infosys Charlotte, NC

Charlotte, NC

1mo ago Closed

Full time Python Business Analysis Hadoop

This position is no longer accepting applications (closed Aug 25, 2026).

Job Description

Infosys is seeking a Hadoop and PySpark Developer in Charlotte, NC. In the assigned Job Role of Technology Consultant 2, the following areas of responsibility define the position.

Key Responsibilities

Support requirements elicitation by documenting the designated portions of business needs in alignment with provided guidance.
Lead software design discussions and record design decisions to guide the technical team toward building effective software solutions.
Contribute to coding efforts by integrating new features or updates into existing applications, with an emphasis on maintaining system stability.
Perform code reviews, implement changes to the codebase, and maintain versioned repositories.
Define and execute test strategies, analyze outcomes, and coordinate bug fixes to uphold software quality standards.
Develop user training materials, documentation, and support frameworks to ensure a smooth transition to new software applications.
Actively participate in resolving production issues and recommend preventive measures to improve reliability.
Maintain comprehensive records of code, testing techniques, and support activities to enrich the knowledge base for similar projects.

Your contribution to the team

Demonstrates a collaborative mindset and excels in clear, effective communication.
Capable of managing end-to-end SDLC phases from requirements gathering to implementation.
Skilled at translating complex requirements into actionable development tasks.
Shows a passion for design with hands-on coding experience.
Proactive in testing, troubleshooting, and refining applications.
Ability to collaborate with cross-functional teams and perform software integration.