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Kafka Remote Jobs in Raleigh, NC (NOW HIRING)

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 ... as Kafka, Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent ...

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Kafka Remote information

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$14

$26

$36

How much do kafka remote jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for kafka remote in Raleigh, NC is $26.90, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $32.26 per hour, depending on experience, location, and employer.

What is a Kafka remote job?

Kafka remote jobs refer to positions that involve working with Apache Kafka, a distributed event streaming platform, from a remote location rather than in a traditional office setting. These roles can include responsibilities such as developing, maintaining, and monitoring Kafka clusters, building data pipelines, and ensuring efficient data flow in distributed systems. Remote Kafka professionals often collaborate with distributed teams to support real-time data processing and integration projects across various industries. The flexibility of remote work allows companies to access a broader talent pool and enables employees to work from anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a Kafka remote engineer?

To thrive as a Kafka Remote Engineer, you need expertise in distributed systems, stream processing, and strong programming skills in languages like Java or Scala, typically supported by a degree in computer science or related technical experience. Familiarity with Apache Kafka, cloud platforms (such as AWS or Azure), and infrastructure-as-code tools is highly valuable, and certifications in Kafka or cloud technologies can be advantageous. Excellent problem-solving, communication, and time management skills help you collaborate effectively in remote, cross-functional teams. These abilities are crucial for ensuring reliable data pipelines, handling large-scale event streaming, and supporting seamless remote operations.

What are some common challenges faced by remote Kafka engineers, and how can they be addressed?

Remote Kafka engineers often encounter challenges such as managing distributed systems across different time zones, ensuring seamless communication with team members, and troubleshooting complex issues without direct access to on-premise resources. To address these challenges, leveraging robust monitoring tools, adopting clear documentation practices, and scheduling regular virtual syncs are essential. Additionally, building strong collaboration with DevOps and other engineering teams helps ensure efficient deployment and maintenance of Kafka clusters.

What is the difference between Kafka Remote vs Kafka Developer?

AspectKafka RemoteKafka Developer
Required CredentialsCertifications in Kafka, cloud platforms, or remote work toolsCertifications in Kafka, programming, and possibly cloud services
Work EnvironmentRemote, often distributed teams, flexible hoursTypically in-office or hybrid, focused on development environments
Employer & Industry UsageTech companies, data-driven organizations, remote-first firmsSoftware companies, data engineering teams, tech startups
Search & Comparison IntentLooking for remote Kafka roles, remote Kafka job requirementsSeeking Kafka development roles, coding responsibilities

Kafka Remote roles focus on managing Kafka systems remotely, often emphasizing remote work skills and cloud integration. Kafka Developers primarily write and optimize Kafka code, working in development environments. While both roles require Kafka expertise and certifications, Kafka Remote emphasizes remote work capabilities, whereas Kafka Developer centers on coding and system implementation.

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

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

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

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

Infographic showing various Kafka Remote job openings in Raleigh, NC as of September 2026, with employment types broken down into 52% Full Time, and 48% Contract. Highlights an 100% Remote job distribution, with an average salary of $55,955 per year, or $26.9 per hour.

Senior Data Engineer

First Citizens Bank

Raleigh, NC • Remote

$103K - $140K/yr

Full-time

Re-posted 16 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 176 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 & Qualifications

Duties & Responsibilities:

Data Architecture and Strategy - Design and implement scalable, efficient data architectures. Lead the development of data strategy aligned with business objectives. Evaluate and integrate new technologies to enhance data capabilities

Advanced Data Pipeline Development - Architect and implement complex data pipelines for real-time and batch processing. Optimize data flows for high-volume, high-velocity data environments. Develop advanced ETL processes for diverse data sources.

Data Governance and Quality Management - Establish and enforce data governance policies and best practices. Implement data quality frameworks and monitoring systems. Ensure compliance with data regulations and standards

Performance Optimization and Troubleshooting - Analyze and optimize system performance for large-scale data operations. Troubleshoot complex data issues and implement robust solutions

Mentorship and Knowledge Sharing - Mentor junior data engineers and provide technical guidance. Contribute to the development of best practices and standards. Collaborate with cross-functional teams to drive data literacy.

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.

Additional Information

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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