Charlotte, NC

Data Jobs in Charlotte, NC

9 jobs found

Include remote jobs

4d ago

Senior Data Analyst

Charlotte-Mecklenburg Schools Charlotte, NC

Charlotte, NC

4d ago

$6,395 - $6,395/mo Full time Senior Analyst Analytical Skills

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Job Description

Charlotte-Mecklenburg Schools seeks a Senior Data Analyst to lead the design, development, and deployment of analytics dashboards and reports that inform district decision-makers about initiative effectiveness, drawing on research, evaluation, and strategic planning to support student-outcomes governance. This onsite role is based in Charlotte, North Carolina.

Role Summary

The Senior Data Analyst provides data-driven governance support by delivering dashboards, reports, and analytic insights to inform district leadership. The role operates under general supervision and collaborates across departments to support initiatives that advance student outcomes through evidence-based decision making.

Responsibilities

Adhere to applicable state, federal, and local laws, policies, and procedures.
Develop and implement advanced data analytics models to identify key insights and actionable policy recommendations for district leadership.
Design, build, and maintain dashboards and reports on metrics aligned with the district's strategic goals and priorities.
Develop, build, and maintain data dashboards in Power BI.
Extract, clean, and compile data using data analysis tools such as SQL and Excel.
Produce ad hoc data analysis reports as needed.
Collaborate with CMS senior staff and educators to identify data analysis and visualization priorities.
Query, collect, review, and analyze data for district leadership and staff.
Work with colleagues to support data quality control and governance to ensure data accuracy, completeness, and adherence to established processes and protocols.
Analyze and report on data from external entities including the North Carolina Department of Public Instruction, the College Board, and ACT.
Participate in cross-functional teams as needed.
Support the selection and monitoring of school and district performance measures to foster continuous improvement.
Assist the research and evaluation team in developing systems and processes for collecting, organizing, and managing student- and school-level data for research and program evaluation.
Apply descriptive and inferential statistics to summarize and analyze data.
Consult on and provide feedback on the analytic work of other departments.
Support the reporting of district-wide surveys.
Remain current in the field of data visualization and analytics.
Perform related work as assigned or required.

Requirements

Comprehensive knowledge of public school system policies and data use, including related principles and procedures.
Strong understanding of data analytics and visualization best practices.
Knowledge of data governance policies and procedures.
Familiarity with quantitative research methods and statistical methodologies such as descriptive and inferential statistics.
Proficiency in data visualization tools including Power BI and Tableau.
Proficient in compiling, manipulating, and analyzing data using SQL.
Experience with statistical and graphical software such as SAS, Stata, SPSS, and Excel.
Ability to integrate and prepare large, varied datasets from internal and external sources for analysis and visualization.
Strong logical thinking, problem-solving skills, and ability to develop innovative solutions.
Ability to analyze and interpret data and turn it into actionable insights for decision-making.
Ability to work interdepartmentally to determine priorities, define metrics, and share data through dashboards and reports.
Strong organizational skills to manage multiple projects independently and meet deadlines in a fast-paced environment.
Ability to document and maintain complete, accurate records.
Self-starting attitude with initiative and persistence; able to work with minimal direction.
Collaborative approach to work with people from diverse backgrounds and perspectives.
Willingness to reflect on and improve performance and professional practice.

Technologies

PowerBI
Tableau
SQL
Excel
SAS
Stata
SPSS

Special Requirements

Possess and maintain a valid driver’s license or have the ability to provide own transportation.
Travel to school district buildings and professional meetings as required.

Location

Charlotte, NC onsite

Compensation

Salary: USD 6,395 per month

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10d ago

Data Engineer

LTM Charlotte, NC

Charlotte, NC

10d ago

$100k - $140k/yr Full time Python Customer Data Platform Data Engineer

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Job Description

Senior Data Engineer role in Charlotte, NC (hybrid) with a salary range of $100,000 - $140,000 per year and a minimum of 7 years of Python and customer data platform experience.

Responsibilities

Create and maintain scalable Python scripts and applications supporting the customer data platform operations.
Automate data processing workflows with Python to improve data quality and reliability.
Design and implement ETL pipelines to extract, transform, and load data from multiple sources.
Leverage ANSI SQL to query and manipulate large datasets within the platform environment.
Collaborate with cross functional teams to consolidate customer data from diverse sources, ensuring accuracy and consistency.
Analyze complex data sets to support business insights and informed decision making.
Stay current with evolving Python practices and advances in customer data management.
Lead the development and optimization of ETL pipelines using Python and SQL.
Design data models and schemas to enable efficient storage and fast retrieval in the data platform.
Troubleshoot data related issues to minimize downtime and preserve data integrity.
Mentor junior engineers on Python programming and ETL best practices.
Coordinate with stakeholders to gather requirements and translate them into technical solutions.
Ensure adherence to data governance and security policies.
Drive continuous improvement initiatives to boost data processing efficiency and platform scalability.

Requirements

Python proficiency for data engineering tasks.
ANSI-SQL proficiency for querying large datasets.
Solid understanding of ETL concepts.
Experience with MS SQL Server.

Technologies

Python
ANSI-SQL
MS SQL Server
ETL Concepts

Benefits

Comprehensive medical plan covering medical, dental, and vision.
Short term and long term disability coverage.
401(k) plan with company match.
Life insurance.
Paid vacation, sick leave, and holidays.
Paid paternity and maternity leave.

Disclaimer

Compensation and benefits information provided here is accurate as of the posting date.

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12d ago

Senior Software Engineer - Data & Analytics- Contingent

Experis Charlotte, NC

Charlotte, NC

12d ago

$76 - $76/hr Contract Senior Apache Spark Bash Scripting

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Job Description

This contingent Senior Software Engineer role centers on data and analytics within a large enterprise, based onsite in Charlotte, NC. The position is structured as a contract engagement with an hourly rate of USD 76. The successful candidate will design, build, and maintain high‑performance data pipelines and translate business requirements into technical solutions using SQL, PySpark, and Python.

Responsibilities

Design, develop, and maintain scalable, high‑performance data pipelines within a large enterprise environment
Create and optimize data processing solutions using SQL, PySpark, and Python
Own assigned deliverables end to end, from design through production support
Drive prior initiatives to completion, clearly communicating status, risks, and dependencies
Collaborate closely with product managers and upstream/downstream teams to translate business requirements into technical solutions

Requirements

Seven or more years of overall experience as a Software Engineer
Four or more years of experience building large data pipelines
Hands‑on experience with Apache Spark, Hive, and Iceberg tables
Strong programming proficiency in Python, PySpark, SparkSQL, Scala, and Bash scripting
Experience with CI/CD pipelines, code quality improvement, and vulnerability remediation

Technologies

SQL
PySpark
Python
Apache Spark
Hive
Iceberg
SparkSQL
Scala
Bash scripting

Benefits

Opportunity to own outcomes and influence architecture in a dynamic environment
Work on impactful projects with high visibility
Collaborate with a talented team of professionals
Engage in continuous learning and development opportunities
Be part of a forward‑thinking organization committed to innovation

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18d ago

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

EY Charlotte, NC

Charlotte, NC

18d ago

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

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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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23d ago

Data Engineer _ Python/AI

Tata Consultancy Services Charlotte, NC

Charlotte, NC

23d ago

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

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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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23d ago

Senior Data Engineer

Kemper Charlotte, NC

Charlotte, NC

23d ago

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

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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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28d ago

Senior ETL Engineer/Data Engineer

Accenture Charlotte, NC

Charlotte, NC

28d ago

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

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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