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Data Engineer Gcp Data Engineer Jobs in Raleigh, NC

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Develops and implements advanced data engineering frameworks. * Recommends development testing tools and methodologies and reviews and validates test plans. * Responsible for QA readiness of software ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Develops and implements advanced data engineering frameworks. * Recommends development testing tools and methodologies and reviews and validates test plans. * Responsible for QA readiness of software ...

RELX

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Consulting Data Engineer to join our team in Raleigh, NC . This position provides assistance and input to management, develops and leads large multi-functional development activities ...

RELX Group plc

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Consulting Data Engineer to join our team in Raleigh, NC . This position provides assistance and input to management, develops and leads large multi-functional development activities ...

LexisNexis

Consulting Data Engineer

Raleigh, NC

$104K - $174K/yr

We are seeking a Consulting Data Engineer to join our team in Raleigh, NC . This position provides assistance and input to management, develops and leads large multi-functional development activities ...

LexisNexis

Consulting Data Engineer

Raleigh, NC

$104K - $174K/yr

We are seeking a Consulting Data Engineer to join our team in Raleigh, NC . This position provides assistance and input to management, develops and leads large multi-functional development activities ...

LexisNexis

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Consulting Data Engineer to join our team in Raleigh, NC . This position provides assistance and input to management, develops and leads large multi-functional development activities ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site

$99K - $131K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful implementation of capabilities on the new platform. The Lead Data Engineer will also take a lead role on ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

UnitedHealth Group

Principal Data Engineer

Raleigh, NC · On-site

$112K - $193K/yr

Partner with product, engineering, and business stakeholders to define metrics and enable data ... experience (Azure, GCP, AWS, or similar platforms) * 4+ years of hands-on experience with ...

UnitedHealth Group

Principal Data Engineer

Raleigh, NC · Remote

$112K - $193K/yr

Required Qualifications: * 10 years of experience in Data Engineering, Analytics Engineering, Data Architecture, Software Engineering, or related disciplines * 5 years of cloud experience (Azure, GCP ...

InterSources Inc

NC FAST Data Engineer

Durham, NC · On-site

$110K - $132K/yr

They are seeking a Senior Data Engineer to support the development and maintenance of the Child Welfare System, PATH NC, focusing on data conversion activities and ensuring data integrity.

Focused HR Solutions

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

Our direct client has an opening for a Azure Data Engineer position # 730992. This position is for 4+ months, with option of extension, and will be worked 100% on-site in Raleigh, NC. If you are ...

Infosys Limited

Data Engineer

Raleigh, NC · On-site

$90 - $120/hr

We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial ...

New

Northern Base

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Hiring Alert | Senior Data Engineer Location: Raleigh, NC / Phoenix, AZ / Dallas, TX (Onsite) Employment Type: Full-Time Experience Required: 6-10 Years Visa Type: USC / GC Only Must-Have Skills:

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All JobsData Engineer Gcp Data Engineer JobsData Engineer Gcp Data Engineer Jobs in Raleigh, NC

Data Engineer Gcp Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

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

As of Sep 3, 2026, the average yearly pay for data engineer 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 is a GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.

What are the key skills and qualifications needed to thrive as a GCP data engineer?

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

What is the difference between Data Engineer Gcp Data Engineer vs Data Engineer?

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

What are popular job titles related to Data Engineer Gcp Data Engineer jobs in Raleigh, NC?

For Data Engineer Gcp Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

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

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

What cities near Raleigh, NC are hiring for Data Engineer Gcp Data Engineer jobs?

Cities near Raleigh, NC with the most Data Engineer Gcp Data Engineer job openings:

Data Engineer Gcp Data Engineer jobs near you
Infographic showing various Data Engineer Gcp Data Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Principal Data Engineer

Fidelity Investments

Durham, NC • On-site

$110K - $132K/yr

Full-time

Re-posted 27 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 273 frontline employees who took The Breakroom Quiz

16th of 152 rated financial services

Job description


Note: Fidelity will not provide immigration sponsorship for this position.
Position Description:
Builds data and reporting platforms in Cloud using Big Data technologies -- Hadoop, HBase, MongoDB, and Cassandra. Performs coding in Java, Scala, and Python. Automates Continuous Integration/Continuous Delivery (CI/CD) pipelines, using Git and Jenkins. Performs Extract, Transform, Load (ETL) data integration and develops data movement design patterns, using Informatica. Uses business knowledge to translate the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives. Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management. Collaborate with business teams to gather and document functional requirements for data ingestion in Data Lake. Proactively engage with analysts/data modelers to understand requirements and deliver high-quality solutions.
Primary Responsibilities:
  • Participates in architecture design teams.
  • Defines and leads enterprise-level data architecture strategies.
  • Develops and implements advanced data engineering frameworks.
  • Recommends development testing tools and methodologies and reviews and validates test plans.
  • Responsible for QA readiness of software deliverables.
  • Develops comprehensive documentation for multiple applications or subsystems.
  • Establishes full project life cycle plans for complex projects across multiple platforms.
  • Responsible for meeting project goals on-time and on-budget.
  • Advises on risk assessment and risk management strategies for projects.
  • Plans and coordinates project schedules and assignments for multiple projects.
  • Acts as a primary liaison for business units to resolve various project/technology issues.
  • Provides technology solutions to daily issues and technical evaluation estimates on technology initiatives.
  • Advises senior leadership on data infrastructure and technology solutions.
  • Mentors junior engineers.
  • Performs independent and complex technical and functional analysis for multiple divisional initiatives.
  • Develops innovative solutions to support scalable, secure, and high-performance data environments.

Education and Experience:
Bachelor's degree in Applied Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as Principal Data Engineer (or closely related occupation) designing, building and maintaining data pipelines using Snowflake, Python, and Azure services for analytics within the financial services industry.
Or, alternatively, Master's degree in Applied Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Data Engineer (or closely related occupation) designing, building and maintaining data pipelines using Snowflake, Python, and Azure services for analytics within the financial services industry.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") creating enterprise data lakes used for analytics, Artificial Intelligence (AI), and Machine Learning (ML) capabilities on AWS, Microsoft Azure, or Snowflake, using big data processing techniques and solutions - Snowflake or Python; building data movement patterns using ETL/ELT tools; and migrating data between heterogeneous datastores using Snowflake, Python, Informatica, Azure Data Factory, or AWS services.
  • DE designing complex dimensional models using ER Studio Data Architect with appropriate company taxonomy including Client/Customer, Account, Product and Supply Chain; and creating conceptual, logical and physical models according to relevant standards using single shared unique identifier across all common entities to deliver scalable and high performing solutions.
  • DE designing, developing, and supporting data driven solutions and data warehouses, using Snowflake, AWS, Microsoft Azure, Python, or Azure Data Factory; creating data visualization using BI Reporting tools -- Tableau or Microsoft Power BI; deploying code changes using Continuous Integration/Continuous Delivery (CI/CD) tools - GitHub or Azure Pipelines; and establishing data governance, cataloging, and change management practices using Alation or Collibra.
  • DE creating projects stories, backlogs, and references using enterprise tools - JIRA, Confluence, or SharePoint -- to execute project deliverables; and providing project management for Scrum teams -- creating and project managing business, design, development, and test stories -- according to Agile methodologies.

#PE1M2
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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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