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Junior Data Engineering Jobs in Raleigh, NC (NOW HIRING)

... junior team members. Responsibilities : • Working closely with other data scientists and engineers to design, develop, and deploy AI solutions. • Leading the development of advanced AI and ...

... junior team members. Responsibilities : • Working closely with other data scientists and engineers to design, develop, and deploy AI solutions. • Leading the development of advanced AI and ...

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

... junior team members, analysts, or business users as needed. Continuously expand technical knowledge across Microsoft Fabric, Azure, Power BI, Dynamics 365, and modern data engineering practices.

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

You'll analyze extensive datasets and guide junior team members. Responsibilities * Working closely with other data scientists and engineers to design, develop, and deploy AI solutions. * Leading the ...

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

You'll analyze extensive datasets and guide junior team members. Responsibilities * Working closely with other data scientists and engineers to design, develop, and deploy AI solutions. * Leading the ...

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

You'll analyze extensive datasets and guide junior team members. Responsibilities * Working closely with other data scientists and engineers to design, develop, and deploy AI solutions. * Leading the ...

Principal Data Modeler

Durham, NC · On-site +1

$53 - $68.50/hr

Collaborates with solution architects, data engineers, and business stakeholders to design models ... Provides guidance to junior data modelers. * Performs independent and complex technical and ...

Principal Data Modeler

Durham, NC · On-site

$53 - $68.50/hr

Collaborates with solution architects, data engineers, and business stakeholders to design models ... Provides guidance to junior data modelers. * Performs independent and complex technical and ...

Data Engineer - Bilingual Mandarin required

Cary, NC · On-site

$106K - $127K/yr

... engineering agent development Level Junior to mid-level with high growth potential Location CA or NC: remote, or hybrid (per company requirements) Employment Type Full-time Language English required;

Data Engineer - Bilingual Mandarin required

Cary, NC · On-site

$106K - $127K/yr

... engineering agent development Level Junior to mid-level with high growth potential Location CA or NC: remote, or hybrid (per company requirements) Employment Type Full-time Language English required;

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Lead Data Scientist to leads a team of junior members to support their development ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

We are seeking a Lead Data Scientist to leads a team of junior members to support their development ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

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Junior Data Engineering information

See Raleigh, NC salary details

$32.6K

$69.8K

$106.4K

How much do junior data engineering jobs pay per year?

As of Aug 3, 2026, the average yearly pay for junior data engineering in Raleigh, NC is $69,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $77,800.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

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

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What does a Junior Data Engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are some typical challenges a Junior Data Engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.
What are the most commonly searched types of Data Engineering jobs in Raleigh, NC? The most popular types of Data Engineering jobs in Raleigh, NC are:
What are popular job titles related to Junior Data Engineering jobs in Raleigh, NC? For Junior Data Engineering jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Junior Data Engineering jobs in Raleigh, NC look for? The top searched job categories for Junior Data Engineering jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Junior Data Engineering jobs? Cities near Raleigh, NC with the most Junior Data Engineering job openings:
Infographic showing various Junior Data Engineering job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $69,795 per year, or $33.6 per hour.

Senior Data Enablement Engineer

Fidelity Investments

Durham, NC • On-site

$102K - $139K/yr

Full-time

Re-posted 22 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services


Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role

The Workplace Investment (WI) Test Data Management CoE is looking for a Senior Data Enablement Engineer to lead the evolution of our internal tools and test data ecosystem. This role will focus on enabling QE teams to efficiently discover, understand and access data across non-prod environments. As a technical leader, you will provide mentorship to data engineers and partners with stakeholders to enhance the development and delivery of test data solutions. This position centers on data navigation, test data ecosystem, data discoverability, SQL-driven data scenarios, Python -driven analysis, and tech data support of QE teams.

The Expertise and Skills You Bring

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field

  • 5 years of experience with data analysis, and test data ecosystems

  • Strong hands-on skills in SQL and Python

  • Knowledge of data modeling, data relations, data flows, data governance, and metadata management

  • Familiarity with GitHub, SQL Workbench, Visual Studio and working in Agile development teams

  • Ability to mentor and guide junior data engineers

  • Experience working with QE teams as a plus

  • Strong collaboration, problem-solving, and communication skills

The Value You Deliver

  • You lead test data communication between TDM team and QE teams

  • You ensure high data quality and consistency by maintaining and validating test data scenarios

  • You collaborate with partner's teams to understand complex data relations, data needs , increase data visibility, and provide test-ready data

  • You manage test data creation and modification using existing tools and scripts

  • You mentor junior data engineers and promote best practices in test data engineering

  • You partner with product owners and stakeholders to enhance the roadmap of test data tools and workflows

  • You proactively identify process gaps and lead initiatives to improve automation and efficiency across test data platforms, to ensure data and environment stability

The Team

The WI QE Center of Excellence (CoE) drives engineering excellence and platform stability across WI squads. As part of the Test Data Management team, the Senior Data Engineer plays a pivotal role in delivering clean, scalable, and reliable test data across BU. You'll work closely with engineering leads, QE teams, and TDS contributors to enable faster, safer, and smarter testing through data.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:Category:Information Technology

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.


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