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Sr Data Warehouse Engineer Jobs in Raleigh, NC (NOW HIRING)

First Citizens Bank

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering ... Design, develop, and support scalable data pipelines, data warehouses, and cloud-based data ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering ... Design, develop, and support scalable data pipelines, data warehouses, and cloud-based data ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering ... Design, develop, and support scalable data pipelines, data warehouses, and cloud-based data ...

Kobie Marketing

Sr. Data Engineer

Raleigh, NC · Remote

$108K - $147K/yr

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our ... Translate client loyalty program requirements into production-ready data warehouse structures ...

Kobie Marketing

Sr. Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our ... Translate client loyalty program requirements into production-ready data warehouse structures ...

UnitedHealth Group

Senior Data Engineer

Raleigh, NC · On-site

$91K - $163K/yr

Join the Magnus Lake House team within Optum Insight as a Senior Data Engineer. In this role, you ... Design and implement robust data ingestion patterns to migrate legacy Cornerstone Data Warehouse ...

UnitedHealth Group

Senior Data Engineer

Raleigh, NC · Hybrid

$91K - $163K/yr

Join the Magnus Lake House team within Optum Insight as a Senior Data Engineer. In this role, you ... Design and implement robust data ingestion patterns to migrate legacy Cornerstone Data Warehouse ...

IONNA LLC

Senior Data Platform Engineer

Raleigh, NC

$103K - $140K/yr

Job Summary IONNA is seeking a Senior Data Platform Engineer to own and evolve the data ... SQL & Data Warehousing: Expert-level SQL skills and deep experience with analytical databases or ...

IONNA LLC

Senior Data Platform Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Job Summary IONNA is seeking a Senior Data Platform Engineer to own and evolve the data ... SQL & Data Warehousing: Expert-level SQL skills and deep experience with analytical databases or ...

IONNA LLC

Senior Data Platform Engineer

Raleigh, NC

$103K - $140K/yr

Job Summary IONNA is seeking a Senior Data Platform Engineer to own and evolve the data ... SQL & Data Warehousing: Expert-level SQL skills and deep experience with analytical databases or ...

Surescripts

Senior Cloud Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

The Senior Cloud Data Engineer plays a key role in designing, building, and maintaining data ... Strong understanding of data warehousing / datalake concepts and data modeling principles. * Proven ...

Compunnel

Senior Data Scientist

Raleigh, NC · On-site

JOB SUMMARY As a Senior Data Scientist 5, you will join a team of other talented Data Scientists and Machine Learning Engineers - with a goal to convert as a true Lead. For the contract duration, you ...

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All JobsSr Data Warehouse Engineer JobsSr Data Warehouse Engineer Jobs in Raleigh, NC

Sr Data Warehouse Engineer information

See Raleigh, NC salary details

$73.9K

$116.5K

$143.4K

How much do sr data warehouse engineer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for sr data warehouse engineer in Raleigh, NC is $116,523.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $125,900.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior Data Warehouse Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, ETL tools, and cloud platforms like AWS or Azure. High compensation often reflects leadership roles, specialized expertise, or working in competitive industries such as finance or technology. Certifications and a strong track record in designing scalable data solutions can also contribute to higher salaries.

What is the difference between Sr Data Warehouse Engineer vs Data Warehouse Developer?

AspectSr Data Warehouse EngineerData Warehouse Developer
CredentialsBachelor's in CS, Data Science, or related field; often certifications in data managementBachelor's in CS, IT, or related; certifications are common but less emphasized
Work EnvironmentDesigning, architecting, and overseeing data warehouse solutions; senior-level responsibilitiesDeveloping, coding, and maintaining data warehouse components; more focused on implementation
Industry UsageUsed across industries for complex data solutions and architecture planningPrimarily in organizations building or maintaining data warehouses

The main difference is that a Sr Data Warehouse Engineer focuses on designing and overseeing data warehouse architecture, while a Data Warehouse Developer concentrates on building and coding data warehouse components. The engineer role involves higher-level planning and strategy, whereas the developer role is more hands-on with implementation.

What are some common challenges Sr Data Warehouse Engineers face when integrating data from multiple sources?

Sr Data Warehouse Engineers often encounter challenges such as data inconsistency, varying data formats, and disparate source systems when integrating data. Ensuring data quality and consistency across all inputs requires robust ETL (Extract, Transform, Load) processes and strong collaboration with source system owners. Additionally, scaling the data warehouse to handle increasing data volumes while maintaining performance can be demanding. Effective communication with business analysts and stakeholders is also crucial to ensure that data models meet organizational needs.

What are the key skills and qualifications needed to thrive as a Sr Data Warehouse Engineer, and why are they important?

To thrive as a Sr Data Warehouse Engineer, you need expertise in data modeling, ETL development, SQL, and database management, often supported by a degree in computer science or a related field. Familiarity with data warehousing tools like Snowflake, Redshift, or Teradata, as well as experience with scripting languages and cloud platforms, is typically required. Strong problem-solving, analytical thinking, and communication skills help you design scalable solutions and collaborate across teams. These skills are crucial for ensuring efficient data integration, reliable reporting, and the overall success of data-driven business initiatives.

How much does a senior data engineer get paid?

A senior data engineer typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. Compensation may also include bonuses, stock options, and benefits, especially for those with expertise in cloud platforms and data pipeline tools.

What engineer makes $500,000 a year?

Senior Data Warehouse Engineers with extensive experience, advanced skills in SQL, ETL tools, and cloud platforms can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large organizations. Such compensation often includes bonuses, stock options, or other incentives. Achieving this level typically requires a combination of technical expertise, leadership, and years of industry experience.

Can I make 200K as a data engineer?

Senior Data Warehouse Engineers with extensive experience, advanced skills in SQL, ETL tools, and cloud platforms can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or with specialized certifications. Salary levels depend on location, industry, company size, and individual expertise. Entry-level or mid-level data engineers typically earn less than this amount.

What are Sr Data Warehouse Engineers?

Sr Data Warehouse Engineers are experienced professionals who design, build, and manage large-scale data storage systems known as data warehouses. They are responsible for developing the architecture and processes that allow organizations to collect, store, and analyze vast amounts of data efficiently. Their work ensures that data is accessible, reliable, and optimized for analytics and reporting. In addition to technical skills such as SQL, ETL, and database management, they often collaborate with stakeholders to understand business requirements and deliver data solutions that drive decision-making.
What are popular job titles related to Sr Data Warehouse Engineer jobs in Raleigh, NC? For Sr Data Warehouse Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Sr Data Warehouse Engineer jobs in Raleigh, NC look for? The top searched job categories for Sr Data Warehouse Engineer jobs in Raleigh, NC are:
Sr Data Warehouse Engineer jobs near you
Infographic showing various Sr Data Warehouse Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $116,523 per year, or $56 per hour.

Senior Data Engineer

First Citizens Bank

Raleigh, NC • Remote

$103K - $140K/yr

Full-time

Posted 10 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

109th of 170 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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