Data Engineer Jobs in Raleigh, NC
Data Engineer jobs in Raleigh, North Carolina are in strong and consistent demand, with openings concentrated in the Research Triangle Park corridor, downtown Raleigh, and the North Hills business district across tech, life sciences, financial services, and government contracting. Employers hiring right now include First Citizens Bank, Infosys, and Optum. Find a role that fits below and apply directly.
Find Data Engineer JobsOverview
Open roles85
Top employerFirst Citizens Bank
Work type57% Remote
Top credentialHigh school diploma or GED
Companies hiring10
Showing 5 of 85+ Data Engineer jobs
Lead Data Engineer
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Added 1w ago
First Citizens Bank
Lead Data Engineer
Raleigh, North Carolina
Added 1w ago
Data Engineer II
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Added 1w ago
First Citizens Bank
Data Engineer II
Raleigh, North Carolina
Added 1w ago
Senior Data Engineer
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Added 1w ago
First Citizens Bank
Senior Data Engineer
Raleigh, North Carolina
Added 1w ago
AWS Python Data Engineer
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Added 2w ago
Infosys
AWS Python Data Engineer
Raleigh, North Carolina
Added 2w ago
AWS Redshift Data Engineer
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Added 2w ago
Infosys
AWS Redshift Data Engineer
Raleigh, North Carolina
Added 2w ago
Added 1w ago
Lead Data Engineer
First Citizens Bank·Raleigh, North Carolina
Job functions:
Remote (US)
AWS Certified Solutions Architect – Associate
10,000+ employees
Job Description
Overview:
We are seeking an experienced Lead Data Engineer to join our Data Platform Engineering Organization and lead the design, development, and modernization of enterprise data platforms that power analytics, reporting, business intelligence, and operational decision-making across the organization.
Responsibilities:
Preferred Qualifications
This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas.
We are seeking an experienced Lead Data Engineer to join our Data Platform Engineering Organization and lead the design, development, and modernization of enterprise data platforms that power analytics, reporting, business intelligence, and operational decision-making across the organization.
The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will be responsible for delivering scalable data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies while mentoring team members and driving engineering excellence.
As part of our growing Cloud Data and AI Platform organization, you will lead and collaborate with a talented team of engineers, product partners, and business stakeholders to deliver enterprise data products and cloud-based data solutions. This role offers the opportunity to mentor engineering talent, drive engineering best practices, and support the adoption of modern data engineering capabilities across the organization.
As part of our growing Cloud Data and AI Platform organization, you will lead and collaborate with a talented team of engineers, product partners, and business stakeholders to deliver enterprise data products and cloud-based data solutions. This role offers the opportunity to mentor engineering talent, drive engineering best practices, and support the adoption of modern data engineering capabilities across the organization.
Responsibilities:
The successful candidate will have experience working in large enterprise environments and partnering with cross-functional teams to deliver trusted data products that support strategic business objectives.
- Lead the design, development, and implementation of enterprise data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related cloud technologies.
- Develop and support data warehouses, Operational Data Stores (ODS), and ETL/ELT pipelines that enable analytics, reporting, and operational data capabilities.
- Design and implement batch and real-time data processing solutions using modern streaming and event-driven architectures.
- Partner with business stakeholders, analysts, and technology teams to translate business requirements into scalable data solutions.
- Define and promote data quality strategies, testing standards, governance practices, and compliance controls across the data platform lifecycle.
- Establish enterprise testing practices, including data validation frameworks, dbt testing standards, and quality controls to support trusted data products.
- Define monitoring, observability, and operational reliability standards, including dashboards, alerts, service-level objectives (SLOs), and service-level agreements (SLAs) for enterprise data platforms.
- Establish deployment strategies, environment promotion standards, and release governance practices that support secure and reliable delivery across enterprise data platforms.
- Contribute to technical discussions, peer reviews, and knowledge-sharing initiatives across the data engineering team.
- Leverage AI-powered development and productivity tools to accelerate solution delivery, improve code quality, and enhance engineering productivity
Bachelor's Degree and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.
OR
High School Diploma or GED and 10 years of experience in the same areas.
Preferred Qualifications
- Advanced experience with cloud platforms such as AWS, Azure, or GCP.
- Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms.
- Advanced proficiency in Python and SQL.
- Advanced experience designing, developing, orchestrating, and supporting ETL/ELT pipelines and data integration solutions using tools such as dbt, Apache Airflow, Astronomer, or equivalent cloud-native data engineering technologies.
- Advanced experience with data modeling, data warehousing, and data engineering best practices.
- Experience designing, developing, and supporting scalable, reliable, and high-performing data engineering solutions in enterprise environments.
- Experience collaborating with business and technology stakeholders to deliver data-driven solutions.
- Strong analytical, problem-solving, and communication skills.
Following qualifications are a plus
- Advanced experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
- Experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
- Experience with Snowflake Cortex, Change Data Capture (CDC), streaming, and real-time data ingestion technologies including Kafka, Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
- Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks.
- Experience with Data Vault modeling and modern data warehousing methodologies.
- Experience leading technical initiatives, mentoring team members, and promoting engineering best practices.
- Experience within Financial Services, Banking, or other highly regulated industries.
- Familiarity with Tableau, Power BI, or other analytics and visualization platforms.
- Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes.
- AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate or Professional, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications.
#LI-JM1
Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.
First Citizens Bank
Lead Data Engineer
Raleigh, North Carolina
Added 1w ago10,000+ employees
Job functions:
Remote (US)
AWS Certified Solutions Architect – Associate
Job Description
Overview:
We are seeking an experienced Lead Data Engineer to join our Data Platform Engineering Organization and lead the design, development, and modernization of enterprise data platforms that power analytics, reporting, business intelligence, and operational decision-making across the organization.
Responsibilities:
Preferred Qualifications
This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas.
We are seeking an experienced Lead Data Engineer to join our Data Platform Engineering Organization and lead the design, development, and modernization of enterprise data platforms that power analytics, reporting, business intelligence, and operational decision-making across the organization.
The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will be responsible for delivering scalable data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies while mentoring team members and driving engineering excellence.
As part of our growing Cloud Data and AI Platform organization, you will lead and collaborate with a talented team of engineers, product partners, and business stakeholders to deliver enterprise data products and cloud-based data solutions. This role offers the opportunity to mentor engineering talent, drive engineering best practices, and support the adoption of modern data engineering capabilities across the organization.
As part of our growing Cloud Data and AI Platform organization, you will lead and collaborate with a talented team of engineers, product partners, and business stakeholders to deliver enterprise data products and cloud-based data solutions. This role offers the opportunity to mentor engineering talent, drive engineering best practices, and support the adoption of modern data engineering capabilities across the organization.
Responsibilities:
The successful candidate will have experience working in large enterprise environments and partnering with cross-functional teams to deliver trusted data products that support strategic business objectives.
- Lead the design, development, and implementation of enterprise data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related cloud technologies.
- Develop and support data warehouses, Operational Data Stores (ODS), and ETL/ELT pipelines that enable analytics, reporting, and operational data capabilities.
- Design and implement batch and real-time data processing solutions using modern streaming and event-driven architectures.
- Partner with business stakeholders, analysts, and technology teams to translate business requirements into scalable data solutions.
- Define and promote data quality strategies, testing standards, governance practices, and compliance controls across the data platform lifecycle.
- Establish enterprise testing practices, including data validation frameworks, dbt testing standards, and quality controls to support trusted data products.
- Define monitoring, observability, and operational reliability standards, including dashboards, alerts, service-level objectives (SLOs), and service-level agreements (SLAs) for enterprise data platforms.
- Establish deployment strategies, environment promotion standards, and release governance practices that support secure and reliable delivery across enterprise data platforms.
- Contribute to technical discussions, peer reviews, and knowledge-sharing initiatives across the data engineering team.
- Leverage AI-powered development and productivity tools to accelerate solution delivery, improve code quality, and enhance engineering productivity
Bachelor's Degree and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.
OR
High School Diploma or GED and 10 years of experience in the same areas.
Preferred Qualifications
- Advanced experience with cloud platforms such as AWS, Azure, or GCP.
- Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms.
- Advanced proficiency in Python and SQL.
- Advanced experience designing, developing, orchestrating, and supporting ETL/ELT pipelines and data integration solutions using tools such as dbt, Apache Airflow, Astronomer, or equivalent cloud-native data engineering technologies.
- Advanced experience with data modeling, data warehousing, and data engineering best practices.
- Experience designing, developing, and supporting scalable, reliable, and high-performing data engineering solutions in enterprise environments.
- Experience collaborating with business and technology stakeholders to deliver data-driven solutions.
- Strong analytical, problem-solving, and communication skills.
Following qualifications are a plus
- Advanced experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
- Experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
- Experience with Snowflake Cortex, Change Data Capture (CDC), streaming, and real-time data ingestion technologies including Kafka, Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
- Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks.
- Experience with Data Vault modeling and modern data warehousing methodologies.
- Experience leading technical initiatives, mentoring team members, and promoting engineering best practices.
- Experience within Financial Services, Banking, or other highly regulated industries.
- Familiarity with Tableau, Power BI, or other analytics and visualization platforms.
- Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes.
- AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate or Professional, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications.
#LI-JM1
Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.
See All 85 Data Engineer Jobs in Raleigh
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Find Data Engineer JobsData Engineer Job Market in Raleigh
Who's Hiring
- First Citizens Bank20
- Infosys13
- Optum7
- Envestnet7
- Amazon7
Top Industries Hiring
- Consulting & Professional Services13
- Retail7
- Technology & Software7
- E-Commerce & Online Marketplaces7
Data Engineer Jobs in Raleigh: Frequently Asked Questions
How do I get a data engineer job in Raleigh?
Focus your search on the sectors driving the most hiring in Raleigh: technology firms and SaaS companies clustered around Research Triangle Park, life sciences and biotech companies based in Cary and Durham's edge, financial services firms in North Hills, and state government agencies headquartered downtown. Candidates with experience in cloud platforms, pipeline automation, and SQL alongside Python tend to stand out. Applying directly to employers and attending local tech meetups in the Triangle area gives you a concrete edge.
Which companies hire data engineers in Raleigh?
Companies currently hiring data engineers in Raleigh include First Citizens Bank, Infosys, and Optum, per current listings on Migrate Mate as of August 2026. Raleigh's employer mix is broad, ranging from enterprise software companies and healthtech firms to state agencies and large financial institutions with regional operations in the Triangle.
Are there remote data engineer jobs in Raleigh?
Yes, data engineering is one of the more remote-friendly technical disciplines since most of the work involves code, pipelines, and cloud infrastructure rather than on-site hardware. About 72% of data engineer openings tied to Raleigh are remote or hybrid as of August 2026, reflecting how widely distributed tech teams have become across the Triangle. Pipeline development, analytics engineering, and cloud infrastructure roles are the positions most commonly listed as fully remote.
How can I get a data engineer job in Raleigh with little or no experience?
The most realistic entry path in Raleigh is through analyst or data associate roles at mid-size tech companies and healthtech firms in the Research Triangle Park area, which often promote internally into engineering tracks. NC State University's proximity also means many Raleigh employers actively recruit recent graduates and offer rotational programs. Building a portfolio with public datasets, earning a cloud certification, and contributing to open-source projects gives early-career candidates a visible credential that Raleigh hiring managers consistently respond to.
Which industries hire the most data engineers in Raleigh?
Raleigh data engineer roles concentrate in Consulting & Professional Services, Retail, and Technology & Software, based on current listings on Migrate Mate as of August 2026. Raleigh's position as a Research Triangle hub means technology, life sciences, and government-adjacent organizations all depend heavily on data infrastructure, making local demand broad and relatively stable across economic cycles.
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