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Remote Dbt Sql Jobs in Raleigh, NC (NOW HIRING)

First Citizens Bank

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... dbt, Python, SQL, and related technologies. As part of our growing Cloud Data & AI Platform ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... dbt, Python, SQL, and related technologies while mentoring team members and driving engineering ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... dbt, Python, SQL, and related technologies. As part of our growing Cloud Data & AI Platform ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... dbt, Python, SQL, and related technologies. As part of our growing Cloud Data & AI Platform ...

Pendo

Sr. Professional Services Engineer Consultant

Raleigh, NC · On-site +1

$80K - $106K/yr

This role is based in Raleigh, San Francisco or remote What this looks like day-to-day * Engagement ... SQL proficiency and strong data modeling expertise. * Experience working with REST APIs, webhooks ...

All JobsDbt Sql JobsRemote Dbt Sql JobsRemote Dbt Sql Jobs in Raleigh, NC

Remote Dbt Sql information

See Raleigh, NC salary details

$20

$51

$70

How much do remote dbt sql jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote dbt sql in Raleigh, NC is $51.13, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $57.93 per hour, depending on experience, location, and employer.

What is a remote dbt sql developer?

A Remote DBT SQL Developer is a professional who specializes in using DBT (Data Build Tool) and SQL (Structured Query Language) to transform, model, and manage data pipelines, all while working remotely. They are responsible for writing and maintaining SQL-based models, testing data quality, and automating data workflows within analytics engineering teams. Working remotely allows them to collaborate with teams from various locations, using cloud-based tools to ensure data reliability and accessibility.

What are the key skills and qualifications needed to thrive as a remote dbt sql developer?

To excel as a Remote DBT SQL Developer, you need strong SQL skills, experience with data modeling, and a solid understanding of ETL processes, often supported by a background in computer science or data engineering. Familiarity with DBT (Data Build Tool), cloud data warehouses like Snowflake or BigQuery, and version control systems such as Git is typically required. Excellent problem-solving, attention to detail, and effective remote communication help set outstanding professionals apart in this role. These skills and tools ensure efficient, high-quality data pipeline development and collaboration across distributed teams.

What are some common challenges faced by remote dbt sql professionals, and how can they be addressed?

Remote DBT SQL professionals often encounter challenges such as maintaining clear communication with team members, ensuring data model consistency, and troubleshooting issues without immediate in-person support. To overcome these, it's important to leverage collaboration tools, establish thorough documentation practices, and participate in regular virtual meetings. Staying proactive in seeking feedback and aligning with project standards also helps ensure smooth remote workflows and successful data transformations.

What is the difference between Remote Dbt Sql vs Data Analyst?

AspectRemote Dbt SqlData Analyst
Required SkillsSQL, data modeling, Dbt framework, ETL processesSQL, data visualization, statistical analysis
CertificationsNone mandatory, familiarity with Dbt preferredNone mandatory, often certifications like Microsoft or Tableau
Work EnvironmentRemote, data engineering or analytics teamsRemote or on-site, business or marketing teams
Industry UsageData engineering, analytics, BI teamsBusiness intelligence, marketing, finance

Remote Dbt Sql roles focus on building data pipelines and models using Dbt and SQL, often within data engineering teams. Data Analysts interpret data, create reports, and visualize insights, sometimes using SQL but with less emphasis on data modeling frameworks. Both roles may be remote and require SQL skills, but their core responsibilities and tools differ significantly.

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

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

What are popular job titles related to Remote Dbt Sql jobs in Raleigh, NC?

For Remote Dbt Sql jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Dbt Sql jobs in Raleigh, NC look for?

The top searched job categories for Remote Dbt Sql jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Dbt Sql jobs?

Cities near Raleigh, NC with the most Remote Dbt Sql job openings:

Remote Dbt Sql jobs near you
Infographic showing various Remote Dbt Sql job openings in Raleigh, NC as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $106,353 per year, or $51.1 per hour.

Senior Data Engineer

First Citizens Bank

Raleigh, NC • Remote

$103K - $140K/yr

Full-time

Re-posted yesterday

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

106th 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.

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.

Qualifications

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:

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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