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Hourly Aws Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

AWS Certified Data Engineer - Associate, AWS Certified Developer - Associate, SnowPro Core ... Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform ...

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Advanced experience with cloud platforms such as AWS, Azure, or GCP. * Advanced experience with ... Experience with data modeling, data warehousing, and data engineering best practices. * Experience ...

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

AWS Certified Data Engineer - Associate, AWS Certified Developer - Associate, SnowPro Core ... Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform ...

Data Engineer

Durham, NC

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Raleigh, NC

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

... AWS). Designs, builds, and maintains reporting platforms. Writes codes with object-oriented ... Data mart concepts. * Confers with systems analysts and other software engineers/developers to ...

PCA Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST)

PCA Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST)

Project - Data Engineer II

Raleigh, NC · On-site

$111K - $133K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to ... Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency.

Data Engineer

Raleigh, NC · On-site

$55 - $60/hr

Must have 6+ Years of experience as a Data Engineer - Data Product. Details: • 8+ years of ... AWS Advanced Tier Services Partner with 100+ certifications Website : Innova Solutions offers a ...

Lead Forward Deployed Engineer - AWS

Raleigh, NC · On-site

$99K - $131K/yr

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ...

Senior Forward Deployed Engineer- AWS

Raleigh, NC · On-site

$101K - $139K/yr

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ...

Data Engineering Lead- Finance

Raleigh, NC · On-site

$111K - $133K/yr

Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). * Proven track record of managing stakeholder expectations and delivering data solutions aligned with ...

Showing results 21-40

Hourly Aws Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do hourly aws data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for hourly aws data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by hourly AWS Data Engineers, and how can they be effectively addressed?

Hourly AWS Data Engineers often encounter challenges such as quickly adapting to new projects with varying data architectures, managing data security across different AWS services, and integrating multiple data sources efficiently within tight deadlines. To address these, it's crucial to stay up-to-date with AWS best practices, maintain clear documentation, and build strong communication channels with team members and stakeholders. Leveraging automation tools and AWS-native services can also help streamline processes and ensure consistent, high-quality deliverables in a dynamic environment.

What are the key skills and qualifications needed to thrive as an hourly AWS Data Engineer?

To excel as an Hourly AWS Data Engineer, you need expertise in data engineering concepts, strong SQL skills, and a solid understanding of AWS services such as S3, Redshift, and Glue, typically supported by a degree in computer science or a related field. Familiarity with tools like AWS Lambda, ETL frameworks, and certifications such as AWS Certified Data Analytics or AWS Certified Solutions Architect are highly valuable. Strong problem-solving abilities, clear communication, and the ability to collaborate remotely make candidates stand out. These skills and qualities are crucial to efficiently build, maintain, and optimize scalable data solutions in cloud-based environments.

What is an hourly AWS Data Engineer?

An hourly AWS Data Engineer is a professional who specializes in designing, building, and managing data infrastructure and pipelines on Amazon Web Services (AWS), and is compensated based on the number of hours worked rather than a fixed salary. Their responsibilities often include integrating data from various sources, optimizing data storage and retrieval, ensuring data security, and supporting analytics and machine learning workflows. This role requires proficiency in AWS services such as S3, Redshift, Glue, and Lambda, as well as knowledge of programming languages like Python or SQL. Hourly AWS Data Engineers are commonly hired for project-based or short-term needs, offering flexibility to both employers and workers.
What are the most commonly searched types of Aws Data Engineer jobs in Raleigh, NC? The most popular types of Aws Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Hourly Aws Data Engineer jobs in Raleigh, NC? For Hourly Aws Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Hourly Aws Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Hourly Aws Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Hourly Aws Data Engineer jobs? Cities near Raleigh, NC with the most Hourly Aws Data Engineer job openings:

Senior Data Engineer

First Citizens Bank

Raleigh, NC • Remote

$103K - $140K/yr

Full-time

Posted 14 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

108th 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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