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Etl Jobs in Raleigh, NC (NOW HIRING)

First Citizens Bank

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Develop and maintain ETL/ELT processes, data integrations, and transformation frameworks supporting operational, reporting, and analytical workloads. * Implement and enhance data quality controls ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

The ideal candidate is a hands-on data engineer with experience in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Develop and maintain ETL/ELT processes, data integrations, and transformation frameworks supporting operational, reporting, and analytical workloads. * Implement and enhance data quality controls ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

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 ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site

$111K - $133K/yr

The ideal candidate is a hands-on data engineer with experience in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will ...

Infosys Limited

AWS Python Data Architect

Raleigh, NC · On-site

$150 - $190/hr

  • Medical

  • Retirement

Technology|Cloud Platform|Amazon Webservices Architecture Technical Skills 2 Technical Skills 3 Technology|Oracle|PL/SQL Technical Skills 4 Technical Skills 5 Technology|ETL & Data Quality|ETL & Data ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

The ideal candidate is a hands-on data engineer with experience in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will ...

CGI Inc.

Data Quality Analyst

Raleigh, NC · On-site

  • Retirement

  • PTO

The ideal candidate will have 5+ years of experience in data quality, ETL validation, or business intelligence-with healthcare data experience preferred-alongside strong SQL skills and advanced ...

Pwc

Data Engineer - Manager

Raleigh, NC

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and implement data security practices. Responsibilities - Design and implement thorough data architecture ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

The ideal candidate is a hands-on data engineer with experience in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will ...

Astyra Corporation

AWS/Java Developer

Raleigh, NC · Hybrid

$52 - $55/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Our client is seeking an AWS/Java/ETL developer specializing in Data Modernization using cloud solutions on AWS, along with 8-10 years of software development experience. * This role involves close ...

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Etl information

See Raleigh, NC salary details

$28

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$71

How much do etl jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for etl in Raleigh, NC is $50.66, according to ZipRecruiter salary data. Most workers in this role earn between $43.32 and $56.68 per hour, depending on experience, location, and employer.

What is an ETL job?

ETL stands for Extract, Transform, Load, which refers to a process used in data integration and management. ETL jobs involve extracting data from various sources, transforming it into a consistent format, and loading it into a destination system such as a data warehouse. Professionals working in ETL design, develop, and maintain these processes to ensure data is accurate, reliable, and ready for analysis. ETL is essential for organizations that need to consolidate data from multiple sources for business intelligence and reporting.

Is ETL in demand now?

ETL (Extract, Transform, Load) specialists are in high demand due to the growth of data-driven decision-making and the increasing need for data integration in organizations. Skills in tools like Apache NiFi, Talend, or Informatica, along with knowledge of databases and scripting, enhance job prospects in this field.

What are the key skills and qualifications needed to thrive as an ETL developer?

To thrive as an ETL Developer, you need strong skills in data analysis, SQL, database management, and a background in computer science or a related field. Familiarity with ETL tools such as Informatica, Talend, or Microsoft SSIS, and possibly certifications in data engineering or relevant platforms, is typically expected. Analytical thinking, attention to detail, and effective communication are crucial soft skills for translating business requirements into technical solutions. These skills are vital to ensure accurate, efficient, and reliable data integration processes that support business intelligence and decision-making.

What is the difference between Etl vs Data Analyst?

AspectEtlData Analyst
Required CredentialsTypically requires knowledge of SQL, scripting, and data warehousing toolsRequires skills in statistics, data visualization, and often a degree in analytics or related fields
Work EnvironmentData integration and pipeline development in data warehouses or ETL toolsData interpretation, reporting, and visualization in business or research settings
Industry UsageUsed in data engineering, data warehousing, and BI projectsUsed across industries for insights, reporting, and decision-making

ETL (Extract, Transform, Load) specialists focus on building data pipelines to move and prepare data for analysis. Data Analysts interpret and visualize data to support business decisions. While ETL involves technical data processing, Data Analysts focus on analyzing and presenting data insights.

What are some typical challenges faced by ETL professionals during data integration projects?

ETL professionals often encounter challenges such as handling inconsistent or incomplete data, optimizing performance for large-scale data loads, and ensuring data security during transfers. Coordination with multiple teams—like data architects, business analysts, and database administrators—is essential to clarify data requirements and resolve issues quickly. Additionally, adapting ETL processes to evolving business needs and new data sources requires a proactive and problem-solving mindset.

What are the most commonly searched types of Etl jobs in Raleigh, NC?

The most popular types of Etl jobs in Raleigh, NC are:

What are popular job titles related to Etl jobs in Raleigh, NC?

For Etl jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Etl jobs in Raleigh, NC look for?

The top searched job categories for Etl jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Etl jobs?

Cities near Raleigh, NC with the most Etl job openings:

Etl jobs near you
Infographic showing various Etl job openings in Raleigh, NC as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 80% In-person, 7% Hybrid, and 13% Remote job distribution, with an average salary of $105,372 per year, or $50.7 per hour.

Senior Data Engineer

First Citizens Bank

Raleigh, NC • Remote

$103K - $140K/yr

Full-time

Posted 23 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

107th of 171 rated banks

Job description

Overview

This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas.

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organizationand help build scalable cloud-based data solutions that enable analytics and data-driven decision-making across the organization.

The ideal candidate is a hands-on data engineer with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will build and optimize scalable data pipelines, integrations, and data products utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies.

As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented team of engineers, product partners, and business stakeholders to deliver cloud-based data solutions that support critical business initiatives. This is an opportunity to work with modern technologies, solve complex data challenges, and contribute to enterprise-scale data platforms that enable data-driven decision-making across the bank.


Responsibilities

The successful candidate will thrive in a collaborative environment, possess strong problem-solving skills, and be passionate about building reliable, scalable, and high-quality data solutions.

  • Design, develop, and support scalable data pipelines, data warehouses, and cloud-based data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies.
  • Develop and maintain ETL/ELT processes, data integrations, and transformation frameworks supporting operational, reporting, and analytical workloads.
  • Implement and enhance data quality controls, reconciliation processes, testing frameworks, and dbt tests to ensure trusted and reliable data assets.
  • Optimize data pipeline performance and operational efficiency through monitoring, alert investigation, automation, testing, CI/CD, dashboard development, and production support activities.
  • Develop monitoring dashboards and operational metrics to improve platform visibility, reliability, and incident response.
  • Support deployment automation, release validation, and environment promotion processes to improve delivery reliability and operational efficiency.
  • Collaborate with business and technology stakeholders to understand requirements and deliver scalable data solutions that support business objectives.
  • Contribute to engineering best practices through technical discussions, peer reviews, documentation, and continuous improvement initiatives across the data engineering team
  • Leverage AI-powered development and productivity tools to improve engineering efficiency, code quality, testing, and delivery outcomes.

Qualifications

Bachelor's Degree and 4 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.
OR
High School Diploma or GED and 8 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

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 developing and supporting ETL/ELT processes, data pipelines, and data integration solutions utilizing tools such as dbt, Apache Airflow, Astronomer or equivalent cloud-native data engineering technologies.
  • Experience with data modeling, data warehousing, and data engineering best practices.
  • Experience designing, developing, and supporting scalable and reliable 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.
Additional qualifications are a plus
  • Intermediate experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Intermediate experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
  • Intermediate experience with Change Data Capture (CDC), streaming, and real-time data ingestion technologies such as Kafka, Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
  • Intermediate experience integrating data across cloud and on-premises environments.
  • Experience with Data Vault modeling and modern data warehousing methodologies.
  • Intermediate understanding of data governance, security, compliance, and data quality management practices.
  • Experience working 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 Developer – Associate, 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.

Qualifications:

Bachelor's Degree and 4 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.
OR
High School Diploma or GED and 8 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

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 developing and supporting ETL/ELT processes, data pipelines, and data integration solutions utilizing tools such as dbt, Apache Airflow, Astronomer or equivalent cloud-native data engineering technologies.
  • Experience with data modeling, data warehousing, and data engineering best practices.
  • Experience designing, developing, and supporting scalable and reliable 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.
Additional qualifications are a plus
  • Intermediate experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Intermediate experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
  • Intermediate experience with Change Data Capture (CDC), streaming, and real-time data ingestion technologies such as Kafka, Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
  • Intermediate experience integrating data across cloud and on-premises environments.
  • Experience with Data Vault modeling and modern data warehousing methodologies.
  • Intermediate understanding of data governance, security, compliance, and data quality management practices.
  • Experience working 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 Developer – Associate, 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.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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