Data And Analytics Jobs in Charlotte, NC
Data And Analytics jobs in Charlotte are concentrated in Uptown, South End, and the University City corridor, with strong demand across financial services, healthcare, and technology. Employers actively hiring include American Express, SCOR, and Intuit. Find a role that fits below and apply directly.
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We are seeking an experienced Senior Data Engineer with deep expertise in Oracle-based analytical platforms and Apache Spark to support large-scale data modernization, migration, and analytics initiatives. The ideal candidate will have hands-on experience building high-performance data pipelines, optimizing large-scale data processing workloads, and integrating enterprise data platforms with modern cloud analytics solutions.
Key Responsibilities:
- Design, develop, and optimize large-scale data processing solutions using Apache Spark (PySpark/Scala) and Python.
- Build and maintain scalable ETL/ELT pipelines for analytical and reporting workloads.
- Optimize query performance, Spark jobs, and end-to-end data processing pipelines for high-volume batch and near real-time workloads.
- Design and implement data integration, replication, and ingestion solutions using technologies such as Oracle GoldenGate, Kafka, and CDC frameworks.
- Collaborate with application, data, and analytics teams to develop scalable data models and processing frameworks.
- Drive performance tuning initiatives across Oracle, Spark, and distributed data processing environments.
Required Qualifications:
- 8+ years of experience in Data Engineering or related roles.
- Strong hands-on experience with Apache Spark (PySpark and/or Scala) and Python.
- Deep understanding of Oracle databases supporting OLAP, data warehousing, and analytical workloads.
- Proven experience tuning and optimizing:
- Spark applications and execution plans
- Complex SQL queries
- Large-scale ETL/ELT processes
- High-volume batch processing workloads
- Strong SQL and data modeling skills.
- Experience with Oracle GoldenGate, CDC, or enterprise-scale data integration technologies.
Preferred Qualifications:
- Experience with Oracle Exadata and large-scale Oracle analytics platforms.
- Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataproc, Cloud Storage, Pub/Sub, and Dataflow.
- Experience integrating Oracle with cloud data platforms, data lakes, Kafka, Hadoop, or BigQuery.
- Experience with Azure, OCI, or multi-cloud data architectures.
- Experience supporting large-scale data migration and modernization programs.
- Ideal Candidate A hands-on data engineer with strong expertise in Oracle for analytical and data warehousing workloads, advanced Spark development and performance tuning skills, and experience building scalable cloud-based analytics solutions. Experience with Google Cloud and BigQuery is highly desirable.
We are seeking an experienced Senior Data Engineer with deep expertise in Oracle-based analytical platforms and Apache Spark to support large-scale data modernization, migration, and analytics initiatives. The ideal candidate will have hands-on experience building high-performance data pipelines, optimizing large-scale data processing workloads, and integrating enterprise data platforms with modern cloud analytics solutions.
Key Responsibilities:
- Design, develop, and optimize large-scale data processing solutions using Apache Spark (PySpark/Scala) and Python.
- Build and maintain scalable ETL/ELT pipelines for analytical and reporting workloads.
- Optimize query performance, Spark jobs, and end-to-end data processing pipelines for high-volume batch and near real-time workloads.
- Design and implement data integration, replication, and ingestion solutions using technologies such as Oracle GoldenGate, Kafka, and CDC frameworks.
- Collaborate with application, data, and analytics teams to develop scalable data models and processing frameworks.
- Drive performance tuning initiatives across Oracle, Spark, and distributed data processing environments.
Required Qualifications:
- 8+ years of experience in Data Engineering or related roles.
- Strong hands-on experience with Apache Spark (PySpark and/or Scala) and Python.
- Deep understanding of Oracle databases supporting OLAP, data warehousing, and analytical workloads.
- Proven experience tuning and optimizing:
- Spark applications and execution plans
- Complex SQL queries
- Large-scale ETL/ELT processes
- High-volume batch processing workloads
- Strong SQL and data modeling skills.
- Experience with Oracle GoldenGate, CDC, or enterprise-scale data integration technologies.
Preferred Qualifications:
- Experience with Oracle Exadata and large-scale Oracle analytics platforms.
- Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataproc, Cloud Storage, Pub/Sub, and Dataflow.
- Experience integrating Oracle with cloud data platforms, data lakes, Kafka, Hadoop, or BigQuery.
- Experience with Azure, OCI, or multi-cloud data architectures.
- Experience supporting large-scale data migration and modernization programs.
- Ideal Candidate A hands-on data engineer with strong expertise in Oracle for analytical and data warehousing workloads, advanced Spark development and performance tuning skills, and experience building scalable cloud-based analytics solutions. Experience with Google Cloud and BigQuery is highly desirable.
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Find Data And Analytics JobsData And Analytics Job Market in Charlotte
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Accounting & Auditing
- Banking & Financial Services
- Investment & Asset Management
Data And Analytics Jobs in Charlotte: Frequently Asked Questions
How do I get a data and analytics job in Charlotte?
The strongest path into Charlotte's data and analytics market is targeting its financial services and healthcare sectors, where demand for analysts, data engineers, and BI developers is highest. Uptown hosts major banking and insurance employers, while University City and South End attract tech-forward firms. Candidates with SQL, Python, Tableau, or Power BI skills stand out, and familiarity with financial or clinical data gives a clear edge over generalist applicants.
Which companies hire data and analyticss in Charlotte?
Employers hiring data and analyticss in Charlotte right now include American Express, SCOR, and Intuit, based on current listings on Migrate Mate as of September 2026. Charlotte's market includes a mix of Fortune 500 financial institutions, regional health systems, and fast-growing tech companies, all of which maintain dedicated analytics teams.
Are there remote data and analytics jobs in Charlotte?
Yes, data and analytics roles are well suited to remote work given their desk-based, tool-driven nature. About 74% of data and analytics openings tied to Charlotte are remote or hybrid as of September 2026, reflecting how widely distributed these teams have become. Reporting, modeling, and visualization work tends to be the most remote-friendly, while roles requiring collaboration with on-site operations teams more often stay hybrid.
How can I get a data and analytics job in Charlotte with little or no experience?
The most realistic entry point in Charlotte is targeting analyst associate or junior data analyst roles at regional banks, insurance carriers, or health systems, which regularly hire candidates with strong fundamentals over years of experience. Community college programs at Central Piedmont Community College and university pipelines through UNC Charlotte feed entry-level talent directly to local employers. Building a portfolio with public datasets and earning a certification in SQL or Tableau will differentiate an early-career candidate in Charlotte's competitive but accessible market.
Which industries hire the most data and analyticss in Charlotte?
The sectors hiring the most data and analyticss in Charlotte are Technology & Software, Consulting & Professional Services, and Accounting & Auditing, based on current listings on Migrate Mate as of September 2026. Charlotte's identity as a major U.S. banking hub and a growing healthcare and logistics center makes those industries the consistent engines of local analytics hiring.
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