Charlotte, NC

Data Jobs in Charlotte, NC

46 jobs found

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3mo ago

Data Analyst, Technology Consulting - Data & Analytics (Data Governance & Controls) - Financial Services Office (Senior) (Multiple Positions)

EY Charlotte, NC

Charlotte, NC

3mo ago Closed

$136k - $136k/yr Full time Alation Analyst Analytics

This position is no longer accepting applications (closed Jun 21, 2026).

Job Description

Senior Data Analyst in EY's Technology Consulting, Data & Analytics practice, with a focus on Data Governance and Controls for Financial Services. The role involves shaping data strategies and delivering end-to-end data solutions for clients within this domain.

Role Overview

The position centers on designing and implementing data programs that strengthen governance, lineage, quality, and risk controls while enabling advanced analytics and information-driven decision making for financial services clients.

Responsibilities

Collaborate with clients to transform data usage by architecting data strategies and delivering end-to-end solutions that enhance the data supply chain, reengineer processes, improve risk controls, and enable information intelligence through advanced technologies.
Address complex challenges and drive growth across the financial services sector.
Define data and analytics strategies by conducting assessments, recommending remediation plans based on gap analysis, and designing and implementing future-state data and analytics solutions.
Develop relationships with client personnel at appropriate organizational levels.
Monitor progress, manage risk, and keep stakeholders informed about progress and expected outcomes.
Set and manage expectations for client service delivery.
Stay informed about current business and industry trends relevant to the client’s operations.
Provide technical guidance and share knowledge with team members from diverse backgrounds.
Deliver high-quality client services on complex, judgmental, or specialized issues.
Demonstrate technical capabilities and professional knowledge.
Learn about EY and its service lines, and identify opportunities to apply knowledge and services.

Qualifications

Bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field, with 2 years of related work experience; or a Master's degree in the same fields with 1 year of related work experience.
At least 1 year of experience in the banking, capital markets, insurance and/or asset management industry.
At least 1 year of experience in one or more of the following areas:
- Distributed processing (Spark, Hadoop, EMR)
- Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL)
- MPP (AWS Redshift, Teradata)
- NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
- Cloud platforms (AWS, Azure, Google Cloud, Databricks)
- Data governance, lineage and quality tools (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, Big ID)
One year of experience with technologies, frameworks, or methodologies for data ingestion, storage, mining, warehousing, big data analytics, manipulation, or visualization.
One year of experience in product and/or project management across lifecycle stages (requirements, design, development, testing).
One year of experience quantifying business improvements through analytics or statistical modeling.
Willingness to travel domestically and regionally up to 60 percent to meet client needs.
Employer will accept any suitable combination of education, training or experience.

Technologies

Spark
Hadoop
EMR
MS SQL Server
Oracle
MySQL
PostgreSQL
AWS Redshift
Teradata
MongoDB
DynamoDB
Cassandra
Neo4J
Titan
AWS
Azure
Google Cloud Platform
Databricks
Collibra
Solidatus
Informatica
Alation
Snowflake
Ab Initio
One Trust
Big ID

Benefits

Base salary
Medical and dental coverage
Pension and 401(k) plans
Paid time off options
Hybrid work model (team-led and leader-enabled)
Flexible vacation policy
EY paid holidays time off
Winter and summer breaks
Personal and family care leave
Other leaves of absence for well-being

Location

Charlotte, North Carolina, with a hybrid work arrangement.

Travel Requirements

Domestic and regional travel up to 60 percent to meet client needs.

Salary

USD 136,282 per year.

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4mo ago

Data Engineer _ Python/AI

Tata Consultancy Services Charlotte, NC

Charlotte, NC

4mo ago Closed

$110k - $130k/yr Full time Python Apache Airflow Artificial Intelligence

This position is no longer accepting applications (closed Jun 16, 2026).

Job Description

The Data Engineer position involves building Python driven data pipelines, ETL/ELT workflows, and supporting AI/ML data needs for Tata Consultancy Services. A minimum of ten years of experience is required along with a Bachelor of Computer Science.

Responsibilities

Develop and maintain data pipelines using Python for data ingestion, transformation, and processing
Design and implement ETL/ELT workflows for large-scale data systems
Work with structured and unstructured data from multiple data sources
Collaborate with data scientists and AI/ML teams to support model development and deployment
Build and manage data integration frameworks and workflows
Ensure data quality, validation, and governance across all pipelines
Optimize data processing performance and scalability
Develop and manage data storage solutions such as data lakes and data warehouses
Automate repetitive tasks and improve operational efficiency
Monitor and troubleshoot data pipelines and workflows
Implement best practices for coding, testing, and documentation
Support AI/ML use cases by preparing and delivering clean, usable datasets
Work with orchestration tools like Airflow for scheduling workflows
Collaborate with cross-functional teams for data-related requirements

Requirements

Primary skills: Python, ETL/ELT pipelines, SQL, PySpark/Pandas, Big Data (Spark, Hadoop), Airflow, Data
Modeling & Warehousing, AI/ML data pipelines, Cloud (AWS/Azure/GCP), Data Integration, Git
Experience: Minimum 10 years

Technologies

Python
SQL
PySpark
Pandas
Spark
Hadoop
Airflow
AWS
Azure
GCP
Git

Benefits

Discretionary Annual Incentive
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
Family Support: Maternal & Parental Leaves
Insurance Options: Auto & Home Insurance, Identity Theft Protection
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
Time Off: Vacation, Time Off, Sick Leave & Holidays
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing

Salary Range

USD 110,000 - 130,000 per year

Location

Charlotte, NC

Job Function

Technology

Role

Technical Lead

Job ID

411522

Desired Skills

Python
SQL

Qualifications

Bachelor of Computer Science

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4mo ago

Senior Data Engineer

Kemper Charlotte, NC

Charlotte, NC

4mo ago Closed

$99k - $165k/yr Full time Senior Data Data Engineer

This position is no longer accepting applications (closed Jun 16, 2026).

Job Description

Kemper offers a collaborative, growth‑oriented environment with a strong focus on data modernization. This Senior Data Engineer role leads the design, development, and delivery of enterprise data platforms leveraging Snowflake and AWS, enabling analytics, reporting, and business intelligence across the organization. You will benefit from an annual discretionary bonus, comprehensive medical, dental, and vision coverage, PTO, and a 401(k) plan. The position is based in Charlotte, North Carolina with a hybrid work arrangement.

Location

Charlotte, North Carolina — hybrid work arrangement.

Why join us

Opportunity to lead the technical direction of an enterprise‑wide data platform.
Work with modern cloud‑native technologies and shape the organization’s data strategy.
Collaborative, growth‑oriented environment with strong investment in data modernization.
Sponsorship is not available for this opportunity.
This position can be worked hybrid out of a local Kemper office, including Chicago, IL, Birmingham, AL, Richardson, TX, or Jacksonville, FL. For non‑local candidates, remote options with travel are available.

Responsibilities

Provide technical leadership to data engineers, setting standards for solution design, coding practices, data governance, and quality.
Define and evolve the enterprise data architecture leveraging Snowflake, Data Vault 2.0, and modern event driven and ELT frameworks.
Lead architecture reviews, establish engineering best practices, and guide platform modernization efforts.
Mentor engineering team members, facilitate code reviews, and promote continuous learning and innovation.
Architect and oversee the delivery of scalable data pipelines, ingestion frameworks, and transformation processes using Snowflake, Python, Spark, Informatica PowerCenter/IDMC, AWS Glue, and cloud‑native tooling.
Design and maintain enterprise data models, including Data Vault 2.0 components and dimensional models.
Develop and optimize Snowflake platform capabilities, including Snowpipe, Streams, Tasks, File Formats, External Stages; Dynamic Tables and ELT pipeline automation; Warehouse sizing, performance tuning, and cost optimization.
Implement scalable batch, micro‑batch, and real‑time ingestion solutions following best practices.
Translate complex business requirements into technical design specifications and actionable development plans.
Partner with product owners, business stakeholders, architects, and analytics teams to deliver high‑impact data solutions.
Manage technical execution across multiple initiatives, ensuring alignment with enterprise priorities, data strategies, and delivery timelines.
Oversee documentation, deployment readiness, testing processes, and quality assurance for production releases.
Ensure operational reliability, data accuracy, and performance of enterprise data warehouse and analytical environments.
Lead root‑cause analysis for production issues and drive implementation of long‑term preventative solutions.
Implement robust monitoring frameworks using Snowflake Resource Monitors, CloudWatch, Datadog, or equivalent observability platforms.
Conduct performance optimization on Snowflake workloads, SQL queries, pipelines, and integrations.

Requirements

8+ years of experience in data engineering, with 2+ years in a senior, lead, or architect capacity.
Advanced hands‑on expertise in Snowflake with ongoing learning of advanced features.
Strong experience implementing Data Vault 2.0 models and automated ELT frameworks.
Proficiency with ETL/ELT and data integration tools such as Informatica IDMC, PowerCenter, Pentaho, AWS Glue, Control M and Python‑based pipelines.
Deep understanding of data warehousing and analytics engineering principles.
Dimensional modeling and relational structures; ELT patterns, CDC frameworks, and metadata‑driven design.
Orchestration frameworks (Control‑M, Airflow).

Technologies

Snowflake, Data Vault 2.0, Python, Spark
Informatica PowerCenter, Informatica IDMC, AWS Glue
Snowpipe, Streams, Tasks, File Formats, External Stages
Snowflake Scripting, Snowpark, Control‑M, Airflow
Pentaho, Kafka, Kinesis, MSK
Terraform, CloudFormation, GitHub Actions, GitLab CI, Azure DevOps
Great Expectations, Monte Carlo, Datafold, Soda, Alation, Collibra
ML feature engineering pipelines, MLOps

Benefits

Annual discretionary bonus
Medical insurance
Dental insurance
Vision insurance
Paid time off (PTO)
401(k) plan

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4mo ago

Senior ETL Engineer/Data Engineer

Accenture Charlotte, NC

Charlotte, NC

4mo ago Closed

$44 - $54/hr Full time Senior Autosys Data Engineer

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

Accenture Flex is seeking a Senior ETL Engineer/Data Engineer to design, build, and maintain data solutions, including ETL pipelines, while guiding data engineering initiatives across multiple teams in a hybrid onsite role based in Charlotte, NC. The position emphasizes hands-on data engineering with collaboration across functions to ensure scalable, reliable data workflows aligned with business objectives.

Responsibilities

Oversee the design and optimization of scalable data pipelines to support complex data workflows.
Provide technical mentorship and support to team members to improve overall project delivery.
Collaborate with cross-functional partners to ensure data engineering solutions align with business goals.
Diagnose and resolve data processing issues to maintain high data quality and system reliability.
Spearhead ongoing improvements to data architecture and engineering best practices.

Requirements

Minimum 5 years of experience with ETL platforms such as Informatica and Datastage
Minimum 5 years of experience with Oracle, SQL and PL/SQL
Minimum 5 years of experience with Autosys, CI/CD automation
Minimum 3 years of experience in Unix/Linux scripting
High School Diploma/GED

Technologies

Informatica
Datastage
Oracle
SQL
PL/SQL
Autosys
CI/CD Automation
Unix/Linux Scripting

Benefits

Medical, dental, vision, and long-term disability coverage
401(k) plan
Paid time off
World-class learning resources

Location and compensation

Location: Charlotte, NC (hybrid)

Hourly rate: USD 44.00 - 54.00 per hour

California: USD 44.00 - 54.00 per hour
Cleveland: USD 44.00 - 54.00 per hour
Colorado: USD 44.00 - 54.00 per hour
District of Columbia: USD 44.00 - 54.00 per hour
Illinois: USD 44.00 - 54.00 per hour
Maryland: USD 44.00 - 54.00 per hour
Massachusetts: USD 44.00 - 54.00 per hour
Minnesota: USD 44.00 - 54.00 per hour
New York: USD 44.00 - 54.00 per hour
New Jersey: USD 44.00 - 54.00 per hour
Washington: USD 44.00 - 54.00 per hour

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4mo ago

Azure Data Engineer

Calance US Charlotte, NC

Charlotte, NC

4mo ago Closed

$65 - $75/hr Full time Analytics Azure Azure Data Factory

This position is no longer accepting applications (closed Jun 10, 2026).

Job Description

Calance US is seeking an Azure Data Engineer to lead the development of a next-generation data platform in Charlotte, NC, onsite. This role centers on migrating legacy data infrastructure to a Microsoft Fabric ecosystem and designing the Medallion data flow into OneLake, aligning with the client’s goal of owning its data future and driving innovation in media sales. The position offers an hourly rate of USD 65 - 75 and requires 5 to 7 years of enterprise data engineering experience.

Responsibilities

Design, develop, and deploy intricate ETL/ELT pipelines leveraging Azure Data Factory and Fabric Data Pipelines to support the organization’s enterprise analytics.
Create custom Azure Functions (Python) and API integrations to fill gaps where native connectors fall short, ensuring all data sources are reachable.
Build robust ingestion frameworks capable of handling high-velocity real-time APIs and scheduled landings (CSV/Parquet).
Tune OneLake and Delta Lake storage to maximize performance for downstream analytics engineering and AI workloads.
Maintain and enhance GitHub Actions pipelines to automate deployments across Dev, Test, and Prod, ensuring a stable release cycle.
Implement data governance, privacy, and security practices using Managed Identities and VNETs to protect data assets.
Perform root-cause analysis of pipeline failures and establish automated monitoring to minimize downtime.

Requirements

5 to 7 years of data engineering experience in an enterprise setting, with proven expertise on Azure Cloud.
Strong command of Azure-native services, including Azure Data Lake Gen2, API Gateway, and Microsoft Fabric.
Advanced Python skills (including API development with FastAPI) and SQL across relational and NoSQL databases.
Hands-on experience with Spark (PySpark) and Delta Lake concepts.
Experience with serverless compute using Azure Functions and YAML-based CI/CD pipelines.
Microsoft Certified: Azure Data Engineer Associate is strongly preferred.
Ability to lead architectural discussions and operate in complex cloud environments, including subscriptions, VNETs, and Managed Identities.

Technologies

Azure Data Factory
Fabric Data Pipelines
Azure Functions
Python
FastAPI
SQL
Spark
PySpark
Delta Lake
OneLake
GitHub Actions
YAML-based CI/CD workflows
Microsoft Fabric
API Gateway
Azure Data Lake Gen2
Managed Identities
VNETs
APIs

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4mo ago

Artificial Intelligence/Machine Learning Data Engineer

Logic Charlotte, NC

Charlotte, NC

4mo ago Closed

$44 - $54/hr Full time Agent Orchestration Ai Workflows Analytics

This position is no longer accepting applications (closed Jun 7, 2026).

Job Description

The role focuses on designing, building, and operationalizing AI agents, large-scale data pipelines, and machine learning solutions to support enterprise automation. This onsite position requires three days per week with the client in Charlotte, North Carolina, or Jersey City, New Jersey.

Responsibilities

Design, develop, and operationalize AI agents, large-scale data pipelines, and ML solutions to advance enterprise automation and analytics initiatives.
Apply strong engineering skills with expertise in LLM and agentic architectures, ensuring secure and reliable deployment within regulated environments.
Leverage LLM integration, function calling patterns, prompt engineering, and agent orchestration to enable robust AI workflows.
Deploy ML models using MLflow, Azure ML, SageMaker, Kubeflow, or comparable platforms.
Work with ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn for model development and evaluation.
Build scalable data pipelines using Spark, Databricks, or similar technologies.
Utilize retrieval augmented generation patterns, vector databases (FAISS, Pinecone, Chroma, Milvus, Redis), and embedding optimization.
Maintain CI/CD pipelines, automated testing, code reviews, and deployment automation practices.
Familiarity with containerization (Docker) and orchestration (Kubernetes) to support scalable deployments.
Integrate AI agents with enterprise APIs, microservices, and workflow systems.
Understand reasoning models, transformer architectures, and typical enterprise AI use cases.
Know cloud platforms such as Azure (preferred), AWS, or GCP, and work with streaming technologies like Kafka, EventHub, or Kinesis.
Adhere to Responsible AI principles, including model fairness, bias detection, and safety filters, within high-compliance domains such as financial services, healthcare, or government.

Requirements

Minimum of 5 years of work experience in Data Engineering, ML Engineering, AI Engineering, or Software Engineering
Strong proficiency in Python, SQL, and one additional programming language (Scala, Java, or Go)
Hands-on experience designing AI agents, toolchains, and agent frameworks (LangChain, Semantic Kernel, LlamaIndex, AutoGen, etc.)
Associate's Degree
Industry certification is a plus (for example Azure, AWS, or GCP Data or AI Engineering)

Technologies

Python
SQL
Scala
Java
Go
LangChain
Semantic Kernel
LlamaIndex
AutoGen
MLflow
Azure ML
SageMaker
Kubeflow
TensorFlow
PyTorch
Scikit-Learn
Spark
Databricks
FAISS
Pinecone
Chroma
Milvus
Redis
Docker
Kubernetes
Kafka
EventHub
Kinesis
Azure
AWS
GCP

Benefits

Medical, dental, and vision insurance
Long-term disability coverage
401(k) plan
Paid time off
Learning resources

Onsite Requirement

This role requires working onsite with the client three days per week in Charlotte, NC or Jersey City, NJ.

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Data Jobs in Charlotte, NC

Data Analyst, Technology Consulting - Data & Analytics (Data Governance & Controls) - Financial Services Office (Senior) (Multiple Positions)

Data Engineer _ Python/AI

Senior Data Engineer

Senior ETL Engineer/Data Engineer

Azure Data Engineer

Artificial Intelligence/Machine Learning Data Engineer

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