Charlotte, NC

Data Jobs in Charlotte, NC

49 jobs found

Include remote jobs

Today

Azure Data Engineer

NSD International, Inc. Charlotte, NC

Charlotte, NC

Today

$74+/hr Contract Backend Developer Python Analytics

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Job Description

NSD International, Inc. is hiring an Azure Data Engineer for contract work supporting an Azure-based data platform.

Responsibilities

Support the active development of an Azure data platform in close coordination with the team
Begin with establishing a reference data system for securities and pricing data, then expand to additional data domains
Follow internal development standards to contribute to the overall Data Strategy agenda
Implement Azure Cloud Platform solutions and apply relevant know-how across the qualifications listed below

Requirements

10+ years of software development experience using Python and PySpark and associated frameworks
Proven background as a Data Engineer and/or Data Quality Engineer with Azure cloud experience
Experience implementing solutions with Azure cloud services
Hands-on experience implementing Azure Data Factory
Hands-on experience implementing Azure Lake Gen 2
Hands-on experience implementing Azure Databases
Hands-on experience implementing Azure Databricks
Experience implementing a Data Quality Framework/Solution
Experience implementing Collibra Data Quality or other data quality tools including IDQ, IBM, or Ab-Initio
Experience implementing Collibra Data Governance with knowledge of data lineage
Experience implementing Power BI
Well versed with Azure Databricks
Strong SQL skills with RDMs or noSQL databases
Familiarity with the DevOps lifecycle including git and Jenkins
Experience with CI/CD processes
Good understanding of ETL/ELT processes
Financial services industry experience is a plus, including financial instruments, asset classes, and market data

Key Technologies

Python, PySpark
Azure cloud services
Azure Data Factory
Azure Lake Gen 2
Azure Databases
Azure Databricks
Data Quality Framework/Solution
Collibra Data Quality, IDQ, IBM, Ab-Initio
Collibra Data Governance, data lineage
Power BI
SQL, RDMs, noSQL
DevOps lifecycle: git, Jenkins, CI/CD processes
ETL, ELT

Benefits

401(k) matching
Dental insurance
Health insurance
Vision insurance

Contract Details

Job type: contract
Term: 1 year (possibility of extension)
Pay: $74.00 per hour
Expected hours: 35.0 – 45.0 per week
Work location: Hybrid remote in Charlotte, NC 28202

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Today

Senior Staff Data Scientist - Credit Karma Engagement

Intuit Charlotte, NC

Charlotte, NC

Today

$211k - $285k/yr Full time Senior Artificial Intelligence Causal Inference

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Job Description

Intuit is hiring a Senior Staff Data Scientist to support the Credit Karma Engagement workstream in Charlotte, North Carolina. In this onsite role, you will help shape the analytics vision for engagement and lifecycle initiatives, using experimentation and causal inference to improve long-term member retention.

What you’ll do

Set the data science strategy across Credit Karma engagement and lifecycle product initiatives, evaluating the member lifecycle end to end from activation and habit formation through retention, churn prevention, and reactivation.
Bring together analytics insights, business judgment, strategic considerations, and industry learnings to influence cross-functional leaders up to the VP level, serving as a connective point across Product, Marketing, Engineering, and Design.
Research and apply new ML and causal inference approaches, adapting external trends to engagement, lifecycle, and churn-prevention use cases while creating shareable frameworks that enable broader adoption within the business unit.
Build an iterative experimentation culture by designing complex studies including A/B/n, painted-door, bandits, and quasi-experimental designs, and by applying causal inference methods such as Propensity Score, DiD, and Synthetic Control when A/B testing is limited.
Connect learnings across a portfolio of experiments and analyses to identify patterns in member behavior, and develop durable segmentation strategies that strengthen targeting, personalization, and the in-product experience.
Partner with cross-functional teams to co-create the analytics and AI strategy for engagement and lifecycle, guiding phased testing and rollout with appropriate measurement, safety, risk, and ethical considerations while tying model performance metrics to member and business outcomes.
Mentor and elevate Data Scientists by setting scientific standards and best practices, contributing to calibrations and hiring, and scaling impact through delegation while staying hands-on in the highest-leverage areas.

Minimum qualifications

9+ years of experience in data science and analytics, with a demonstrated track record leading strategy and delivering impact across multiple initiatives or business units; experience in consumer product engagement, retention, or growth strongly preferred, with fintech experience a plus.
Experience in consumer platforms with membership-based or multi-product ecosystems where personalization and cross-product engagement drive long-term retention (preferred).
Ability to apply first-principles thinking to translate ambiguous business strategy into analytics problems at the business-unit level.
Proven ability to design and interpret complex experiments beyond traditional A/B testing and to apply causal inference when experimentation is constrained.
Deep expertise in causal inference, customer segmentation, and experimentation design, with judgment to balance statistical rigor and business considerations.
Experience with lightweight Machine Learning, including building offline classification and regression models to inform business decisions.
Experience creating reusable frameworks, methodologies, and toolkits adopted by a broader analytics community.
Strong communication and stakeholder influence, including the ability to influence Director- and VP-level leaders across business and technical groups.
Ability to work effectively in ambiguity with minimal guidance, make fast data-driven decisions (one-way vs. two-way door), and operate in a fast-paced environment.
Ability to use AI-native tools to plan, implement, and synthesize analyses across experiment readouts, quasi-experimental methodology, retention and churn deep dives, and measurement of feature launch success.
BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field (advanced degree preferred).

Technologies

Machine Learning
Offline classification & regression models
AI-native tools
Propensity Score
DiD
Synthetic Control
A/B/n
Painted-door
Bandits
Quasi-experimental designs

Compensation

Intuit offers a competitive compensation package with a pay-for-performance rewards approach. This role may be eligible for a cash bonus, equity rewards, and benefits in accordance with applicable plans. Pay is based on job-related knowledge, skills, experience, and work location, and Intuit conducts regular pay comparisons across categories of ethnicity and gender. The expected base pay range for this position is USD 210,500 - 284,500 per year (noted with an expected base pay range shown as Oakland in the posting).

Location: Charlotte, NC (onsite)

Salary: USD 210,500 - 284,500 per yearly

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Today

Data Engineer -3

Realign LLC Charlotte, NC

Charlotte, NC

Today

$98k+/yr Full time Backend Developer Big Data Bigdata

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Job Description

Realign LLC is hiring an onsite Data Engineer for a Production Support focused role in Charlotte, NC. You will help keep critical data flows running smoothly while improving quality, enforcing data management standards, and partnering with teams to resolve production incidents across multiple technology stacks. The salary for this role is USD 98,000 per year, with a requirement of 5+ years of relevant experience.

What you’ll do

Implement and maintain data flows, including ETL/ELT pipelines, ingestion processes, and distributed data processing jobs.
Support production issues through root-cause analysis across different platforms and systems, including Hadoop, Oracle, and MongoDB.
Enforce data management standards with a focus on data quality, metadata, and data lineage.
Monitor and troubleshoot pipeline health by applying monitoring and observability practices such as logs, metrics, and health checks.
Perform advanced performance tuning for SQL, Spark, or other distributed data workflows, and address performance bottlenecks and data discrepancies.
Contribute to automated test suites by analyzing failures and supporting test-driven development practices.
Collaborate across engineering, product, and business teams using strong communication skills.
Apply secure data management practices, including encryption, masking, and PII handling.
Support enterprise governance by adhering to data governance, compliance, and operational risk frameworks.
Manage deployments with knowledge of CI/CD pipelines, Git, and automated deployment practices.

Systems and platforms you may work with

Distributed data: Apache Spark, Databricks, Hadoop ecosystems
Data platforms: Teradata, Snowflake, SQL Server, Azure, AWS, GCP
Scheduling / tooling: Autosys
Datastores / ecosystems: Oracle, MongoDB
Governance-related delivery: App Gov and other mandates (dev work)

What you bring

5 to 10 years of experience in Data Engineering, Software Engineering, or a related technical discipline.
Strong proficiency in Python and SQL, including advanced transformations.
Hands-on experience building and maintaining distributed ETL/ELT pipelines and ingestion workflows.
Practical experience with PySpark and Hive, plus distributed tooling such as Apache Spark, Databricks, and Hadoop.
Experience building and managing datasets in relational and/or cloud-based platforms such as Teradata, Snowflake, SQL Server, and Azure/AWS/GCP.
Solid understanding of data modeling, metadata, data quality controls, data lineage, and secure data management.
Knowledge of Unix, Agile, and base support.
Experience implementing monitoring and observability for data pipelines (logs, metrics, health checks).
Experience with DevOps-related practices (listed as DevOps Engineer) and automated deployments.
Prior experience in a financial institution or another regulated industry.

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Today

Azure Data Engineer

Experis Charlotte, NC

Charlotte, NC

Today

$70+/hr Full time Backend Developer Azure Azure Data Factory

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Job Description

Experis is hiring an Azure Data Engineer (Data Strategy) in Charlotte, NC (onsite) to help build a strategic Azure data platform for a Securities Group within a financial services organization.

Responsibilities

Design and develop scalable Azure-based data solutions to support strategic initiatives.
Partner with cross-functional teams to establish reference data systems for securities and pricing data.
Build and maintain data quality frameworks and data governance tools to help ensure data integrity.
Develop robust data pipelines using Azure Data Factory, Azure Lake Gen 2, Azure Databricks, and other Azure services.
Support active development of the data platform while aligning with internal standards and best practices.

Requirements

10+ years of experience in software development, with particular experience in Python, PySpark, and related frameworks.
Proven experience as a Data Engineer with hands-on work in Azure cloud services.
Strong familiarity with Azure Data Factory, Azure Lake Gen 2, Azure Databricks, and Azure Databases.
Experience with data quality frameworks and data governance tools, including Collibra.
Excellent SQL skills, including experience working with RDM S and noSQL databases.
Understanding of the DevOps lifecycle and CI/CD processes.

Technologies

Azure, Python, PySpark
Azure Data Factory, Azure Lake Gen 2, Azure Databricks, Azure Databases
Collibra
SQL, RDMS, noSQL
CI/CD

Benefits

Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k), Plus Match
Weekly Pay

Additional Details

Location: Charlotte, NC (onsite)
Salary: USD 70 per hourly
Minimum Experience: 10 years

What’s in it for you

Opportunity to work on innovative projects within a forward-thinking organization.
Engagement in a collaborative and inclusive work environment.
Chance to develop and refine skills in cloud-based data solutions.
Participation in a strategic digital transformation initiative.
Potential for career growth within a global organization.

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18d ago

Senior Data Scientist

Motion Recruitment Charlotte, NC

Charlotte, NC

18d ago

Contract Senior Artificial Intelligence Data

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Job Description

This hybrid Senior Data Scientist role is based in Charlotte, North Carolina and focuses on building and validating next-generation AI capabilities for legal and regulatory research and decision-support products. The work includes retrieval-augmented generation (RAG), agent-based AI systems, and natural language processing solutions.

Role Overview

In this contract position, you will lead hands-on data science efforts across the lifecycle, from defining problems to production validation. The focus areas include designing RAG pipelines, developing evaluation methods for document understanding and summarization, and creating agent-based workflows that combine retrieval, reasoning, and task execution.

Key Responsibilities

Lead hands-on data science work from problem definition through production validation
Design RAG pipelines that improve the relevance and accuracy of generated answers based on specialized content
Develop models and evaluation methods for legal research, document understanding, and summarization use cases
Create agent-based workflows that coordinate retrieval, reasoning, and task completion
Partner with engineering and product teams to deliver scalable, secure, and measurable AI capabilities

Required Qualifications

8+ years of professional experience in data science, applied machine learning, or a closely related discipline
Deep knowledge of natural language processing, large language models, and modern generative AI methods
Hands-on experience building and evaluating retrieval-augmented generation systems
Experience developing agentic AI solutions or multi-step model-driven workflows
Ability to work with distributed AI architectures and enterprise-scale data environments
Strong analytical programming skills and a track record of moving experimental work into production
Familiarity with legal, regulatory, compliance, or other document-intensive data domains
Experience creating AI products for high-stakes professional users
Bachelor’s degree required in data science, computer science, statistics, engineering, or a related field; Master’s degree preferred

Contract Details

6-month contract-to-hire opportunity
Hybrid work arrangement in Charlotte, North Carolina

Benefits

Additional compensation and benefit information will be provided during the interview process.

Work Authorization

Applicants must be authorized to work full-time in the United States now and in the future.

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20d ago

Data Analyst, Data Transformation

Citco Charlotte, NC

Charlotte, NC

20d ago

Full time Analytics Business Analytics Data Analysis

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Job Description

Support data transformation efforts by analyzing requirements, designing integrations, and partnering across product and technology teams.

Responsibilities

Partner with Citco platform owners to understand system data, architecture, and available capabilities
Collaborate with business groups to identify tactical and strategic data needs
Use system data to mock up point to point integration solutions
Create and maintain a documentation repository for data integration projects
Coordinate with technology groups for planning, implementation, and deployment
Build data and analytics solutions for business teams using platforms available to the team
Through business partnership, define, sponsor, and steer development initiatives
Create and refine a backlog of user stories aligned to business objectives
Influence and guide technology, project management, and operations teams during solution delivery
Contribute to product vision and align the roadmap to strategic goals
Maintain and develop expertise by staying current with market trends, direction, and competitor activity
Collaborate with other product teams on prioritization and reuse of functionality
Work with the Product Manager and stakeholders to prioritize product enhancements

Requirements

Bachelor’s degree in a quantitative discipline
Strong knowledge of SQL, Python, C++, VBA, Qlik, Tableau, and/or Power BI
Project management skills with attention to detail and proven ability to multi-task
Excellent communication skills for translating business concepts to technology teams
Strong written and verbal communication skills
Strong visual communication skills using PowerPoint and Visio
Atlassian products knowledge is a plus
Certified Scrum Master or Certified Scrum Product Owner is a plus
AWS familiarity is a plus

Technologies

SQL
Python
C++
VBA
Qlik
Tableau
Power BI
Atlassian products
PowerPoint
Visio
AWS

Benefits

Comprehensive and competitive total rewards package
Annual discretionary bonus pool based on company profitability and individual contributions
Medical, dental, and vision coverage
Short-term and long-term disability benefits
Retirement savings plan
Tuition reimbursement
Mental health and wellness support
Parental leave

Location: Charlotte, NC (onsite)

Education: Bachelor’s degree in a quantitative discipline

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20d ago

Data Analyst, People Analytics

RVO Health Charlotte, NC

Charlotte, NC

20d ago

$75k - $95k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

RVO Health is seeking a mid-level Data Analyst for its People Analytics team. In this hybrid role in the Charlotte metro area, you will conduct advanced analyses, develop dashboards and reporting solutions, and partner across teams to support workforce planning and talent insights.

Role Overview

The People Analytics Data Analyst will translate data into actionable insights for talent and executive leadership. The role includes building self-service analytics capabilities, presenting findings to leadership groups, and working with Finance and Human Capital to inform workforce planning and budgetary decision-making.

Responsibilities

Perform advanced data analyses to generate insights, develop clear narratives, and present results to the Talent Leadership Team and Executive Leadership Team members.
Partner with Finance and Human Capital leadership to provide workforce planning and budgetary insights.
Develop analytical tools, including self-service BI products and interactive dashboards, to visualize and analyze data.
Build reporting solutions that deliver the right information to the right stakeholders at the right time.
Collaborate with internal teams and data science teams to identify new opportunities for deeper analytics within the Human Capital organization.

Requirements

1-3 years of hands-on experience in data analytics, with an emphasis on workforce and talent insights.
Strong analytical skills, including experience compiling comprehensive reports, analyzing trends, and providing fact-based recommendations.
Ability to synthesize data into actionable insights and communicate recommendations to leadership.
Strong interpersonal and communication skills, with experience working effectively with business stakeholders.
Demonstrated ability to streamline and automate processes.
Experience with visualization tools such as Tableau, QlikView, PowerBI, or Looker to build dynamic or scalable dashboards and reports.
Knowledge or experience within people analytics is required.
Fluency coding in one analytical programming language (e.g., R or Python) and SQL is required.
Team-oriented, success-driven mindset, with a roll-up-your-sleeves approach.