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Remote Entry Level Data Engineering Jobs in Cary, NC

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, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform ...

The Maven Group, LLC

BigQuery Developer

Raleigh, NC · Remote

Our large client is looking for multiple consultants to join a growing Big Data project. Experience ... All roles will be remote and can be located anywhere in the US (preference to more West Coast)

The Maven Group, LLC

BigQuery Developer

Raleigh, NC · Remote

Our large client is looking for multiple consultants to join a growing Big Data project. Experience ... All roles will be remote and can be located anywhere in the US (preference to more West Coast)

UnitedHealth Group

Software Engineer

Raleigh, NC · Remote

$72K - $130K/yr

Remote: You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on ... Required Qualifications: * 3 years of experience in Data Engineering, Software Engineering, or ...

Hitachi

2027 Summer Engineering Intern - Raleigh

Raleigh, NC · On-site +1

$16.25 - $21.25/hr

Administration & Facilities Job Schedule: Full time Remote: No At Hitachi Energy, you can work with ... Candidate data is processed in accordance with applicable data protection and employment laws as ...

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Remote Entry Level Data Engineering information

See Cary, NC salary details

$41.2K

$120.2K

$164.4K

How much do remote entry level data engineering jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote entry level data engineering in Cary, NC is $120,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $127,400.00 per year, depending on experience, location, and employer.

What is a remote entry level data engineer?

A remote entry level data engineer is a professional who works from a location outside of a traditional office setting to help design, build, and maintain the data infrastructure and pipelines needed for organizations to collect and analyze data. These roles are suitable for individuals new to the field, often requiring foundational knowledge in programming, databases, and data processing tools. Entry level data engineers typically work under the guidance of more experienced team members and focus on tasks such as data cleaning, basic ETL (extract, transform, load) processes, and supporting data integration projects. Working remotely allows for flexibility and collaboration using digital communication tools.

What are the key skills and qualifications needed to thrive as a remote entry level data engineer?

To thrive as a Remote Entry Level Data Engineer, you need a foundational understanding of databases, data modeling, and programming languages such as Python or SQL, often supported by a relevant degree or coursework. Familiarity with cloud platforms (like AWS or Azure), ETL tools, and version control systems (such as Git) is typically required. Strong problem-solving skills, attention to detail, and effective virtual communication are essential soft skills for remote collaboration and troubleshooting. These skills ensure efficient data pipeline development, data integrity, and productive teamwork in distributed engineering environments.

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

Remote entry level data engineers often face challenges such as limited hands-on mentorship, understanding complex data pipelines, and collaborating across different time zones. To overcome these, it's helpful to proactively communicate with your team, seek feedback regularly, and make use of virtual collaboration tools. Participating in team meetings, asking questions, and accessing available documentation will help you build confidence and stay aligned with project goals.

What is the difference between Remote Entry Level Data Engineering vs Remote Junior Data Analyst?

AspectRemote Entry Level Data EngineeringRemote Junior Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic SQL and programming skillsBachelor's in related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cloud platforms, data pipelinesReporting, data interpretation, dashboards
Industry UsageTech, finance, healthcare, e-commerceMarketing, retail, finance, healthcare

Remote Entry Level Data Engineering focuses on building data pipelines and managing data infrastructure, requiring technical skills like SQL and programming. Remote Junior Data Analysts interpret data, create reports, and support decision-making. While both roles involve working with data remotely, data engineers handle data infrastructure, whereas data analysts focus on analyzing and visualizing data to provide insights.

Can I work remotely as a remote entry level data engineer?

Yes, many entry-level data engineering roles are available as remote positions, especially with the rise of cloud-based tools like AWS, Azure, and GCP. These jobs typically require knowledge of SQL, Python, and data pipeline tools, and often offer flexible schedules for remote work.

What are popular job titles related to Remote Entry Level Data Engineering jobs in Cary, NC?

For Remote Entry Level Data Engineering jobs in Cary, NC, the most frequently searched job titles are:

What job categories do people searching Remote Entry Level Data Engineering jobs in Cary, NC look for?

The top searched job categories for Remote Entry Level Data Engineering jobs in Cary, NC are:

What cities near Cary, NC are hiring for Remote Entry Level Data Engineering jobs?

Cities near Cary, NC with the most Remote Entry Level Data Engineering job openings:

Remote Entry Level Data Engineering jobs near you
Infographic showing various Remote Entry Level Data Engineering job openings in Cary, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,171 per year, or $57.8 per hour.

Data Engineer II

First Citizens Bank

Raleigh, NC • On-site, Remote

$111K - $133K/yr

Full-time

Re-posted 7 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 173 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 a motivated Data Engineer II to join our Data Platform Engineering Organization and 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 experience in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will contribute to the development and support of 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 modernize enterprise data platforms and 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 the bank's data and AI transformation journey.


Responsibilities & Qualifications

Duties and 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, build, and support scalable data pipelines and cloud-based data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies.
  • Implement data warehouse solutions, dimensional data models, and ETL/ELT processes that support reporting, analytics, and business intelligence capabilities.
  • Implement data quality validations, test cases, and controls to ensure accurate, consistent, and reliable data assets.
  • Develop and maintain data tests, including dbt tests, to support data quality and reliability requirements.
  • Support workflow orchestration, monitoring, troubleshooting, log analysis, and production operations using Airflow and cloud-native technologies.
  • Collaborate with business users, product partners, analysts, and technology teams to deliver data solutions that support business objectives.
  • Follow established engineering standards, development practices, documentation requirements, and testing procedures to support high-quality solution delivery.
  • Participate in pipeline deployments, environment promotion activities, operational support, and performance optimization efforts using established CI/CD processes.
  • Leverage AI-powered development and productivity tools to improve engineering efficiency, code quality, and delivery outcomes.

Qualifications:

Bachelor's Degree and 2 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.
OR
High School Diploma or GED and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

Preferred Qualifications
  • Experience working with cloud-based data platforms and modern data processing technologies such as AWS, Snowflake, Spark, or equivalent solutions.
  • Proficiency in Python and SQL with experience developing ETL/ELT processes, data pipelines, and data integration solutions.
  • Experience utilizing modern data engineering tools and frameworks such as dbt, Apache Airflow, or similar technologies.
  • Experience contributing to the delivery and support of scalable, reliable data 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
  • Experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Experience with Operational Data Stores (ODS), analytics platforms, and data products.
  • Experience working with cloud-based and on-premises data environments.
  • Exposure to Data Vault modeling and modern data warehousing methodologies.
  • Understanding of data governance, security, compliance, and data quality management practices.
  • Experience 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 Cloud Practitioner, AWS Certified Developer – Associate, AWS Certified Data Engineer – Associate, SnowPro Core Certification, or equivalent cloud and data platform certifications.

Additional Information

#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:

#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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