Data And Analytics Jobs in North Carolina
Data And Analytics jobs in North Carolina are concentrated in finance, life sciences, technology, and healthcare, with demand extending from entry-level analysts to senior data scientists and analytics engineers. Charlotte, Raleigh, and Durham lead hiring, anchored by employers such as Bank of America, SAS Institute, and Duke University Health System. The most sought-after specialties in North Carolina are business intelligence, machine learning, and clinical data analytics. See the openings below and apply to the ones that match your experience.
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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.
See All 36 Data And Analytics Jobs in North Carolina
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Find Data And Analytics JobsData And Analytics Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Data And Analytics Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
- Accounting & Auditing
- Technology & Software
- Investment & Asset Management
- Banking & Financial Services
What North Carolina Employers Look For
The qualifications that appear most often in data and analytics jobs across North Carolina.
- Bachelor's degree in statistics, computer science, mathematics, or a closely related field
- Proficiency in SQL and at least one analytical language such as Python or R
- Experience with BI platforms such as Tableau, Power BI, or Looker
- Ability to translate complex datasets into clear, actionable business recommendations
- Familiarity with cloud data environments such as AWS, Azure, or Google Cloud
- Strong communication skills for presenting findings to technical and non-technical stakeholders
Data And Analytics Jobs in North Carolina: Frequently Asked Questions
How do you become a data and analytics in North Carolina?
Most data and analytics roles in North Carolina require at minimum a bachelor's degree in a quantitative field such as statistics, computer science, or information systems. There is no state-issued license for this role, so employers focus on demonstrated technical skills, including SQL, Python or R, and data visualization tools. Building a portfolio of projects and earning widely recognized credentials such as Google Data Analytics or Microsoft Certified Data Analyst can strengthen a candidacy significantly in the North Carolina market.
Which companies hire data and analyticss in North Carolina?
North Carolina data and analytics roles are posted by Marsh, Deloitte, and American Express and others right now, based on current listings on Migrate Mate as of September 2026. North Carolina's mix of major financial institutions in Charlotte, technology firms in the Research Triangle, and large health systems statewide means consistent hiring across multiple industries.
Which North Carolina cities have the most data and analytics jobs?
Charlotte, Raleigh, and Durham have the most data and analytics openings in North Carolina. Charlotte's concentration of banking and financial services firms drives heavy demand there, while Raleigh and Durham benefit from the Research Triangle's dense cluster of technology companies, universities, and pharmaceutical employers that rely on data-driven decision-making.
Are there remote data and analytics jobs in North Carolina?
Yes, and more than most fields. About 59% of data and analytics openings tied to North Carolina are remote or hybrid as of September 2026, reflecting how well this work translates to distributed teams. Roles focused on business intelligence reporting, data modeling, and statistical analysis are most likely to offer remote or hybrid arrangements.
How can I get hired as a data and analytics in North Carolina with little or no experience?
The most realistic entry path is applying for junior analyst or associate data analyst roles at North Carolina's large employers in banking, healthcare, and technology. Institutions such as Novant Health, Wells Fargo's Charlotte operations, and Research Triangle Park technology companies regularly bring on candidates from adjacent roles like operations coordinator or reporting specialist. Completing a recognized certification program and building a GitHub portfolio of independent analysis projects gives candidates a clear edge over those without a formal work history in the field.
Where can I find and apply to data and analytics jobs in North Carolina?
You can find and apply to data and analytics jobs in North Carolina on Migrate Mate, which lists current openings across the state. Search for roles that fit your experience level and specialty, then apply directly to the ones that match your background.
See All 36 Data And Analytics Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
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