Analytics Engineer Jobs in North Carolina
Analytics Engineer jobs in North Carolina are in strong demand, with active hiring concentrated in financial services, life sciences, and enterprise software across experience levels from entry-level to senior. The heaviest concentration of openings is in the Research Triangle (Raleigh, Durham, and Chapel Hill), Charlotte, and Greensboro, where employers like Bank of America, Lenovo, and SAS Institute maintain significant analytics and data engineering teams. The most sought-after specialties in North Carolina listings include dbt-based data modeling, cloud data warehouse implementation, and analytics pipeline development for regulated industries. 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 8 Analytics Engineer Jobs in North Carolina
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Find Analytics Engineer JobsAnalytics Engineer Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
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
- Technology & Software
- Banking & Financial Services
- Consulting & Professional Services
What North Carolina Employers Look For
The qualifications that appear most often in analytics engineer jobs across North Carolina.
- Bachelor's degree in computer science, statistics, information systems, or a related analytical field
- Proficiency in SQL and at least one modern data transformation tool such as dbt
- Hands-on experience with cloud data platforms including Snowflake, BigQuery, or Databricks
- Ability to build and maintain data pipelines using Python or a comparable scripting language
- Experience translating business requirements into clean, documented data models for stakeholder use
- Familiarity with version control practices using Git within collaborative engineering workflows
Analytics Engineer Jobs in North Carolina: Frequently Asked Questions
How do you become a analytics engineer in North Carolina?
Analytics engineering in North Carolina has no state-issued license or registration requirement, so the path runs through education and demonstrated technical skill. Most North Carolina employers expect a bachelor's degree in a quantitative field such as computer science, statistics, or information systems. Candidates who build a portfolio of dbt projects, cloud data warehouse work, or data pipeline samples, and who earn vendor certifications from Snowflake or dbt Labs, consistently stand out in the Triangle and Charlotte markets.
How much do analytics engineers make in North Carolina?
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 analytics engineers in North Carolina?
Employers hiring analytics engineers in North Carolina right now include SCOR, Truist, and Skanska, based on current listings on Migrate Mate as of September 2026. North Carolina's concentration of large financial institutions, global technology headquarters, and life sciences companies means demand for analytics engineers is distributed across multiple industries rather than concentrated in a single sector.
Which North Carolina cities have the most analytics engineer jobs?
Charlotte have the most analytics engineer openings in North Carolina. The Research Triangle's density of technology companies, university research institutions, and healthcare systems drives the largest share of postings, while Charlotte's major financial services and fintech employers anchor strong demand there, and Greensboro and the Triad region contribute openings tied to logistics, manufacturing analytics, and regional healthcare networks.
Are there remote analytics engineer jobs in North Carolina?
Yes, and more than most fields. Analytics engineering is a desk-based, code-driven discipline that transfers well to remote and hybrid arrangements. About 33% of analytics engineer openings tied to North Carolina are remote or hybrid as of September 2026, reflecting how broadly employers in financial services and enterprise software have adopted flexible work for this role. The portions of the work most commonly done remotely include data modeling, pipeline development, and stakeholder reporting.
How can I get hired as a analytics engineer in North Carolina with little or no experience?
The most realistic entry path is moving from a business intelligence analyst, data analyst, or SQL-heavy reporting role into analytics engineering as companies formalize their data transformation workflows. Large North Carolina employers in financial services and healthcare, including regional banks in Charlotte and health systems affiliated with Duke Health and UNC Health, regularly hire junior data roles that bridge into analytics engineering. Building a public dbt project on GitHub and earning a Snowflake SnowPro Core or dbt Analytics Engineer certification significantly strengthens a candidate's case when applying without direct title experience.
Where can I find and apply to analytics engineer jobs in North Carolina?
You can find and apply to analytics engineer jobs in North Carolina on Migrate Mate, which lists current North Carolina openings. Find roles that fit your experience and location preference and apply directly from the listing.
See All 8 Analytics Engineer Jobs in North Carolina
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