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Full Time Gcp Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Fidelity Investments

Senior Data Engineer - Power BI

Durham, NC · On-site

$102K - $139K/yr

... Data Engineer to join our team. You will be at the forefront of fortifying data protection product ... Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model ...

Fidelity Investments

Senior Data Engineer - Power BI

Durham, NC · On-site

$102K - $139K/yr

... Data Engineer to join our team. You will be at the forefront of fortifying data protection product ... Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model ...

Deloitte

AI Engineer Consultant

Raleigh, NC · Hybrid

... GCP (one or more), including managed data platforms and scalable compute patterns. * 2+ years of ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Jewelers Mutual Group

Sr BI Developer

Raleigh, NC · On-site

... the data engineer and data platform teams to support the design, build and maintenance of ... GCP) Company : Since 1913, we've been committed to supporting the jewelry industry and putting ...

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 ... Chosen engineers will have the chance to work with some VERY talented GCP engineers and gain ...

Jewelers Mutual Group

Sr BI Developer

Raleigh, NC · On-site

  • Retirement

  • PTO

Partner with the data engineer and data platform teams to support the design, build and maintenance ... Additional cloud data platform certifications (Databricks, Azure, AWS, or GCP) What We Offer You

The Maven Group, LLC

BigQuery Developer

Raleigh, NC · On-site

Our large client is looking for multiple consultants to join a growing Big Data project. Experience ... Chosen engineers will have the chance to work with some VERY talented GCP engineers and gain ...

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 ... Chosen engineers will have the chance to work with some VERY talented GCP engineers and gain ...

Triangle Workforce

Senior DevOps Engineer

Raleigh, NC · On-site

$126K - $162K/yr

... data security) NICE TO HAVE: Multi-cloud architecture experience (AWS, Azure, GCP) Kubernetes ... Full-time position Hybrid work (3 days/week on-site in Triangle area) On-call rotation required ...

Icon plc

Cloud Engineer II

Raleigh, NC · Remote

$54.25 - $72.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Cloud Engineer II (US-based, ET/CT time zones only), Full time, Remote ICON is a global healthcare ... GCP logging, GCP monitoring. * Practical experience with modern CI/CD deployment practices working ...

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All JobsGcp Data Engineer JobsFull Time Gcp Data Engineer JobsFull Time Gcp Data Engineer Jobs in Raleigh, NC

Full Time Gcp Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do full time gcp data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for full time gcp data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What does a full time GCP data engineer do?

A Full Time GCP Data Engineer is responsible for designing, building, and managing data processing systems on the Google Cloud Platform (GCP). They work with large datasets, create data pipelines using GCP tools like BigQuery, Dataflow, and Cloud Storage, and ensure data is securely stored, processed, and made accessible for analytics or machine learning. Their role often involves optimizing data workflows, maintaining data quality, and collaborating with data scientists and analysts. Additionally, they implement best practices for data security, scalability, and cost efficiency within the GCP ecosystem.

What are some common challenges faced by full time GCP data engineers when working with large-scale data pipelines?

Full Time GCP Data Engineers often encounter challenges such as optimizing data pipeline performance, managing costs associated with cloud resources, and ensuring data quality and security. Working with large-scale data can introduce complexities related to data partitioning, schema evolution, and latency in data processing. Collaboration with data scientists, analysts, and other engineers is essential to align data architecture with business requirements and to troubleshoot issues quickly. Staying up to date with the latest GCP services and best practices is also important to maintain efficient and scalable solutions.

What are the key skills and qualifications needed to thrive as a full time GCP data engineer, and why are they important?

To thrive as a Full Time GCP Data Engineer, you need strong expertise in data engineering concepts, SQL, programming languages like Python or Java, and experience with cloud data platforms, typically supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Dataproc, and relevant certifications like Google Professional Data Engineer are highly beneficial. Outstanding problem-solving skills, attention to detail, and effective communication set top performers apart. These competencies are crucial for designing scalable data solutions, ensuring data integrity, and seamlessly collaborating with cross-functional teams.

What is the difference between Full Time Gcp Data Engineer vs Gcp Data Analyst?

AspectFull Time Gcp Data EngineerGcp Data Analyst
Required SkillsData pipeline development, cloud architecture, SQL, Python, GCP servicesData querying, visualization, SQL, Excel, GCP BigQuery
CertificationsGCP Professional Data Engineer, Cloud certificationsGCP Data Analytics certifications (optional)
Work EnvironmentDesigning and maintaining data infrastructure in cloud environmentsAnalyzing data, creating reports, supporting business decisions
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business intelligence

Full Time Gcp Data Engineers focus on building and maintaining data pipelines and infrastructure in GCP, requiring technical skills in cloud architecture and programming. Gcp Data Analysts primarily analyze data and generate insights, often using visualization tools. While both roles work with GCP services, their responsibilities and skill sets differ significantly.

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

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

Full Time Gcp Data Engineer jobs near you
Infographic showing various Full Time Gcp Data Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Senior Data Engineer - Power BI

Fidelity Investments

Durham, NC • On-site

$102K - $139K/yr

Full-time

Re-posted 13 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

16th of 150 rated financial services

Job description


Note: Fidelity will not provide immigration sponsorship for this position.
The Role
The Cyber Data Analytics chapter within the Enterprise Cybersecurity organization is seeking a Senior Data Engineer to join our team. You will be at the forefront of fortifying data protection product areas by building scalable data solutions, including complex data pipelines, migrations, and sophisticated data modeling. Our team serves as a proactive shield against cyber threats, supporting multiple executive leaders with high-impact analytics for decision-making.
The Expertise You Have and The Skills You Bring
  • Bachelor's or Master's degree in computer science, Engineering, or a related technical field.
  • 7+ years of relevant work experience in data engineering or architecture.
  • Strong SQL skills and knowledge of multiple RDBMS, specifically Snowflake (including SnowSQL), Postgres, SQL Server, and Oracle.
  • Proven experience building data pipelines using Python, with NiFi and dbt knowledge being a significant advantage.
  • Experience in building Power BI Reports that transform data into aesthetically appealing visuals.
  • Hands-on knowledge of AWS infrastructure, including S3, EC2, RDS, EKS, Batch, and CloudFormation.
  • Deep understanding of data modeling principles, specifically 3NF and Star Schema models.
  • Experience with CI/CD workflows using Jenkins and GitHub for automated deployment.
  • Familiarity with workload scheduling and orchestration tools like Control-M.
  • Proven data analysis skills to ensure data quality such as accuracy, consistency, and completeness and to identify gaps and anomalies.
  • Ability to work independently in an Agile environment (Scrum and Kanban) brings technical stories to completion.
  • Excellent communication and presentation skills
  • Design and build scalable data solutions, including data processing pipelines, migrations, and complex data modeling.
  • Identify new development opportunities within a scalable public Cloud environment to enhance organizational capability.
  • Collaborate with product owners and business partners to translate high-level requirements into actionable technical tasks.
  • Analyze and manipulate datasets to ensure rigorous data integrity, accessibility, and security throughout the entire lifecycle.
  • Serve as a technical mentor and thought leader, providing guidance and innovative solutions to the broader team.
  • Integrate automated testing and continuous validation into the sprint cycle to ensure production reliability.
  • Develop end-to-end solutions using distributed platform design patterns and modern analytics technologies.
  • Support and enhance production systems, focusing on high performance, speed, and overall system reliability.

The Team
Our Cyber Data Analytics Squad is at the forefront of enterprise cybersecurity, dedicated to providing brand new data analytics solutions. We are part of the Enterprise Cyber Security organization. Our team boasts a diverse range of skills, including data scientists, analysts, engineers, and cybersecurity experts. Together, we build a dynamic environment that fosters innovation and problem-solving, envisioning a future where our analytics solutions serve as a proactive shield against cyber threats.
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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