Data Analytics Engineer Jobs in Charlotte, NC
Data Analytics Engineer jobs in Charlotte are concentrated in Uptown, South End, and the Ballantyne corridor, with strong demand from employers in financial services, healthcare analytics, and technology. Companies hiring right now include American Express, SCOR, and Intuit. Scan the live roles below and apply to whichever ones fit.
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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 39 Data Analytics Engineer Jobs in Charlotte
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Find Data Analytics Engineer JobsData Analytics Engineer Job Market in Charlotte
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Accounting & Auditing
- Banking & Financial Services
- Investment & Asset Management
Data Analytics Engineer Jobs in Charlotte: Frequently Asked Questions
How do I get a data analytics engineer job in Charlotte?
Charlotte's strongest hiring comes from its financial services corridor, large healthcare systems, and a growing tech sector centered in South End and Uptown. Candidates who combine SQL and Python fluency with experience in cloud data platforms like Snowflake or Databricks stand out locally. Targeting mid-size fintech firms and regional banks alongside enterprise employers broadens your options considerably in this market.
Which companies hire data analytics engineers in Charlotte?
Employers hiring data analytics engineers in Charlotte right now include American Express, SCOR, and Intuit, based on current listings on Migrate Mate as of September 2026. Charlotte's mix of national bank headquarters, regional insurers, and fast-growing healthcare and logistics firms makes it a diverse market for this role.
Are there remote data analytics engineer jobs in Charlotte?
Yes, data analytics engineering is well-suited to remote and hybrid arrangements given its desk-based, code-heavy nature. About 72% of data analytics engineer openings tied to Charlotte are remote or hybrid as of September 2026, reflecting broader flexibility across the sector. Pipeline development, modeling, and reporting work in particular tends to be the most remote-compatible portion of the role.
How can I get a data analytics engineer job in Charlotte with little or no experience?
The most realistic entry path in Charlotte is through a junior data analyst or BI analyst role, which many of the city's financial services firms and healthcare organizations use as a pipeline for analytics engineering talent. Charlotte employers including regional banks and health systems often recruit from local programs at UNC Charlotte and through apprenticeship-style contractor roles. Building a portfolio of dbt or Airflow projects helps distinguish candidates without formal engineering experience.
Which industries hire the most data analytics engineers in Charlotte?
Charlotte data analytics engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Accounting & Auditing, based on current listings on Migrate Mate as of September 2026. Charlotte's position as a major U.S. banking hub and its expanding healthcare and logistics infrastructure drive consistent, high-volume demand for data engineering talent across those sectors.
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See All 39 Data Analytics Engineer Jobs in Charlotte
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