Data Analytics Engineer Jobs in North Carolina
Data Analytics Engineer jobs in North Carolina are in strong and consistent demand, concentrated in financial services, life sciences, and technology, with openings at every level from entry-level analyst to senior engineer. The most active hiring markets are Charlotte, Raleigh, and Durham, where established employers like Bank of America, Red Hat, and Duke University Health System regularly bring on data analytics engineers. The most sought-after specializations in North Carolina include cloud data pipeline development, healthcare data integration, and financial data modeling. 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.
See All 39 Data Analytics Engineer Jobs in North Carolina
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Find Data Analytics Engineer JobsData Analytics Engineer Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Data Analytics Engineer 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 analytics engineer jobs across North Carolina.
- Bachelor's degree in computer science, information systems, or a related field
- Proficiency in SQL and at least one programming language such as Python or Scala
- Experience building and maintaining data pipelines or ETL workflows
- Hands-on knowledge of cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with data warehousing tools like Snowflake, Redshift, or BigQuery
- Strong communication skills for translating data findings to non-technical stakeholders
Data Analytics Engineer Jobs in North Carolina: Frequently Asked Questions
How do you become a data analytics engineer in North Carolina?
Data analytics engineering in North Carolina has no state-issued license or registration requirement, so entry centers on education and demonstrated technical skill. Most North Carolina employers expect a bachelor's degree in computer science, information systems, statistics, or a related field. Candidates who pair that foundation with certifications from cloud providers like AWS or Google Cloud and a portfolio of pipeline or data modeling projects are consistently the most competitive across the Charlotte, Raleigh, and Durham markets.
How much do data analytics engineers make in North Carolina?
Data analytics engineers in North Carolina earn a median of about $119,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,970 for the lowest 10% to over $172,830 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics engineers in North Carolina?
Employers hiring data analytics engineers in North Carolina right now include Marsh, Deloitte, and American Express, based on current listings on Migrate Mate as of September 2026. North Carolina's concentration of major financial institutions in Charlotte and research-driven organizations in the Research Triangle means demand is spread across both corporate and academic employer types.
Which North Carolina cities have the most data analytics engineer jobs?
Charlotte, Raleigh, and Durham account for the most data analytics engineer openings in North Carolina. Charlotte's large financial services sector, including major banking and fintech employers, drives the bulk of demand there, while Raleigh and Durham benefit from the Research Triangle's dense cluster of technology companies, university research programs, and life sciences organizations that all rely heavily on data engineering talent.
Are there remote data analytics engineer jobs in North Carolina?
Yes, and more than most fields. About 56% of data analytics engineer openings tied to North Carolina are remote or hybrid as of September 2026, reflecting how naturally this work fits distributed environments. Pipeline development, cloud infrastructure work, and analytics modeling are the parts of the role most commonly performed fully remote, while roles that require close collaboration with on-site data science or product teams tend to stay hybrid.
How can I get hired as a data analytics engineer in North Carolina with little or no experience?
The most realistic entry path is a junior data analyst or data engineer role, which many North Carolina employers treat as a pipeline into full data analytics engineer positions. Large Charlotte-area financial institutions and Raleigh-Durham technology and life sciences companies regularly hire recent graduates for these associate-level roles. Building a portfolio of SQL and Python projects, earning an entry-level cloud certification, and targeting companies with structured analyst development programs gives candidates without direct experience a credible foot in the door.
Where can I find and apply to data analytics engineer jobs in North Carolina?
You can find and apply to data analytics engineer jobs in North Carolina on Migrate Mate, which lists current openings tied to the state. Find roles that fit your experience and target location, then apply directly to the ones that match.
See All 39 Data Analytics Engineer Jobs in North Carolina
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