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Trainee Cloud Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Sr. Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

You will enable R&D Digital Transformation, design efficient data pipelines using the latest in Big Data Cloud Infrastructure and engineer new data analytics/visualization capabilities. You will ...

New

Sr. Data Engineer

Raleigh, NC

$111K - $133K/yr

You will enable R&D Digital Transformation, design efficient data pipelines using the latest in Big Data Cloud Infrastructure and engineer new data analytics/visualization capabilities. You will ...

New

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Cloud Computing: AWS * Tools/Products: Data Science Studio, Alteryx, Jupyter, Tableau, PowerBI ... Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Cloud Computing: AWS * Tools/Products: Data Science Studio, Alteryx, Jupyter, Tableau, PowerBI ... Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics ...

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful ... Cloud Computing: AWS or similar including EMR, Glue, Athena, Batch, Lambda, DynamoDB, EC2, IAM.

Data Integration Engineer

Cary, NC · Hybrid

$106K - $127K/yr

By leveraging on-premises and cloud technology, the Data Integration Engineer will ensure the efficient and reliable flow of data across the organization. This role is essential in enabling data ...

Data Integration Engineer

Cary, NC · On-site

$106K - $127K/yr

By leveraging on-premises and cloud technology, the Data Integration Engineer will ensure the efficient and reliable flow of data across the organization. This role is essential in enabling data ...

Cloud Engineer

Morrisville, NC · Hybrid

$52.25 - $69.75/hr

You will transform cloud data into actionable insights, support operational processes, and ... Working alongside experienced cloud engineers and managers, you will develop hands-on expertise in ...

Cloud Engineer

Morrisville, NC · On-site

$100 - $130/hr

You will transform cloud data into actionable insights, support operational processes, and ... Working alongside experienced cloud engineers and managers, you will develop hands‑on expertise ...

Data Engineer (Cary, NC, US)

Cary, NC · On-site

$110 - $170/hr

By leveraging on-premises and cloud technology, the Data Integration Engineer will ensure the efficient and reliable flow of data across the organization. This role is essential in enabling data ...

New

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Hiring Alert | Senior Data Engineer Location: Raleigh, NC / Phoenix, AZ / Dallas, TX (Onsite ... Cloud Development & Data Modeling Astronomer Airflow Workflow Orchestration Python-Based Data ...

... in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate ...

... cloud data integration patterns - Applying knowledge in big data engineering - Designing advanced analytics solutions and AI/ML models - Supporting business development efforts Travel Requirements Up ...

Lead Data Engineer

Raleigh, NC · On-site

$99K - $131K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful ... Cloud Computing: AWS or similar including EMR, Glue, Athena, Batch, Lambda, DynamoDB, EC2, IAM.

Showing results 41-60

Trainee Cloud Data Engineer information

See Raleigh, NC salary details

$22

$61

$84

How much do trainee cloud data engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for trainee cloud data engineer in Raleigh, NC is $61.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.12 and $69.62 per hour, depending on experience, location, and employer.

What is the difference between Trainee Cloud Data Engineer vs Cloud Data Engineer?

AspectTrainee Cloud Data EngineerCloud Data Engineer
Required CredentialsBasic knowledge of cloud platforms, entry-level certifications (e.g., AWS Cloud Practitioner)Advanced certifications (e.g., AWS Certified Data Analytics), relevant degrees
Work EnvironmentTraining programs, internships, entry-level projectsFull-time roles in cloud data infrastructure teams
Employer & Industry UsageOrganizations training new talent, tech startups, cloud service providersCompanies managing large-scale data solutions in various industries

The main difference is that a Trainee Cloud Data Engineer is in the learning phase, focusing on gaining foundational skills and certifications, while a Cloud Data Engineer is a fully qualified professional responsible for designing and maintaining cloud data systems.

What are the most commonly searched types of Cloud Data Engineer jobs in Raleigh, NC?

The most popular types of Cloud Data Engineer jobs in Raleigh, NC are:

What job categories do people searching Trainee Cloud Data Engineer jobs in Raleigh, NC look for?

The top searched job categories for Trainee Cloud Data Engineer jobs in Raleigh, NC are:

Infographic showing various Trainee Cloud Data Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 6% Internship, 75% Full Time, and 19% Contract. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $127,150 per year, or $61.1 per hour.

Manager, Data Engineer (Remote)

Arch Capital Group

Raleigh, NC • On-site, Remote

$100K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.
Job Summary
Strategic Analytics at Arch is a growing team at the forefront of the company's AI transformation. We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets and AI-assisted development practices. These capabilities are becoming increasingly embedded across the enterprise.
Data is central to our mission. We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both traditional analytics and emerging AI use cases.
As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead end-to-end delivery of complex data pipelines that put analytics at the center of business processes. This is a hands-on role that combines execution, technical leadership, and stakeholder partnership, including leading and developing a team of data engineers.
You will work closely with business and technical leaders to align priorities, shape scalable data solutions, and deliver measurable outcomes. You will also guide engineers and reinforce strong delivery practices, while advancing the team's capabilities in modern data engineering, AI-assisted development, and well-governed, reusable data systems.
Responsibilities
  • Lead delivery of high-quality data solutions by partnering with stakeholders and coaching data engineers.

  • Own end-to-end data engineering delivery across the project lifecycle.

  • Build strong partnerships across the organization to align priorities and deliver data-related goals.

  • Design clear, analytics-ready data structures by anticipating downstream analytical needs.

  • Evaluate and adopt new technologies and data sources to improve capability and efficiency.

  • Automate data ingestion and integration to reliably connect internal and external data sources.

  • Document data sources, definitions, and technical solutions to support transparency and reuse.

  • Reinforce strong delivery hygiene (version control, code review, automated testing, CI/CD, and operational readiness/monitoring).

  • Apply agentic, AI-assisted coding practices to accelerate delivery while maintaining appropriate controls.

  • Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access.

  • Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed.

Desired Skills
Data Engineering
  • Strong programming expertise in Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practices

  • Apache Spark proficiency (PySpark preferred) and experience with distributed data processing, including building scalable pipelines and optimizing performance for large-scale datasets

  • Cloud data platform proficiency (Snowflake, Databricks, Azure ecosystem fundamentals)

  • Data warehousing and modeling fundamentals (schema design, conformed definitions, performance optimization)

  • Data quality and observability practices (testing, reconciliation, monitoring)

Analytics & AI Readiness
  • Insurance data modeling for analytics and actuarial-ready data structures

  • MLOps familiarity supporting operationalized analytics and models

  • Semantic modeling skills (business definitions, metrics, ontology/taxonomy/domain models)

  • Business definition standardization for reuse across BI and AI use cases

Leadership & Operating Model
  • Self-directed execution and ownership in a distributed environment, combined with strong cross-functional collaboration, stakeholder partnership, and team building

  • Strong problem-solving and critical thinking skills, including the ability to decompose complex challenges

  • Clear communication across technical and business audiences, with the ability to adapt effectively in ambiguous and evolving environments

Required Skills
  • 6+ years' experience of hands-on development in Python and distributed processing environments (e.g., Spark)

  • 2-3+ years of technical leadership or project delivery ownership experience
  • Hands-on Databricks experience highly preferred

Education
  • College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent.

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.
$100,500 - $174,000/year
  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.
  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.
10200 Arch Capital Services LLC