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Data Engineer Gcp Data Engineer Jobs in Canton, GA

GEI Consultants

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Dlapiper

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

3B Staffing LLC

Data Engineer

Alpharetta, GA · Hybrid

$111K - $134K/yr

Alpharetta or Menlo Park Hybrid 3 Days a Week Onsite RTOI Data Engineer Real-time operation intelligence team in *** Enterprise Computing is responsible to stream terabytes of data daily. We have ...

Honeywell

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the ... AWS/GCP a plus) with experience designing scalable, cost-effective data lakes and warehouses using ...

3B Staffing LLC

Data Engineer

Alpharetta, GA · Hybrid

$111K - $134K/yr

Alpharetta or Menlo Park Hybrid 3 Days a Week Onsite RTOI Data Engineer Real-time operation intelligence team in *** Enterprise Computing is responsible to stream terabytes of data daily. We have ...

Honeywell

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the ... AWS/GCP a plus) with experience designing scalable, cost-effective data lakes and warehouses using ...

Guidehouse

Data Engineer

Atlanta, GA

$89K - $148K/yr

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and maintaining data pipelines, AI solutions, and analytics platforms. The ideal candidate will have hands ...

Booz Allen Hamilton

Data Engineer

Atlanta, GA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means thatthere'smore structured and unstructured data available today than ever ...

Dovel Technologies, Inc

Data Engineer

Atlanta, GA · On-site

$89 - $148/hr

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and maintaining data pipelines, AI solutions, and analytics platforms. The ideal candidate will have ...

New

QGenda

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

About Your Role As a Senior Data Engineer, you will design, build, and optimize the data platform ... AWS, GCP, Azure * Warehouses: Snowflake, Redshift, BigQuery, etc. * Orchestration: Airflow, MWAA ...

Guidehouse

Data Engineer

Atlanta, GA · On-site

$89K - $148K/yr

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and maintaining data pipelines, AI solutions, and analytics platforms. The ideal candidate will have hands ...

Booz Allen Hamilton, Inc.

Data Engineer

Atlanta, GA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Booz Allen Hamilton

Data Engineer

Atlanta, GA · On-site

$77K - $176K/yr

R0243232 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today ...

Synaptein Solutions inc

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Role: Data Engineer Location: Atlanta, GA Duration: 6+Month Contract 5 years of experience with at least one statistical programming language: Python, R, SAS, Julia (Python Preferred) 5 years of ...

Synaptein Solutions inc

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Role: Data Engineer Location: Atlanta, GA Duration: 6+Month Contract 5 years of experience with at least one statistical programming language: Python, R, SAS, Julia (Python Preferred) 5 years of ...

Crew Career Center

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Strong hands-on experience with Google Cloud Platform (GCP) * Advanced expertise in BigQuery ... Strong Python programming experience * Experience building scalable data pipelines and ...

Lazer Logistics

Data Engineer

Alpharetta, GA · On-site

$129K/yr

Summary The Data Engineer is a member of the Data & AI team, accountable for building and maintaining scalable data pipelines, models, and semantic layers that power analytics, business intelligence ...

Patientco

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Strong hands-on experience with Google Cloud Platform (GCP) * Advanced expertise in BigQuery ... Strong Python programming experience * Experience building scalable data pipelines and ...

Virtual Networx

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Location:Atlanta, GA Duration:12 months Skills: DataFrames, Spark SQL,ETL, Databricks, ADF, Azure Data Factory, Job Requirement: Apache Spark Expertise * Deep understanding of Spark ...

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All JobsData Engineer Gcp Data Engineer JobsData Engineer Gcp Data Engineer Jobs in Canton, GA

Data Engineer Gcp Data Engineer information

See Canton, GA salary details

$42K

$122.5K

$167.6K

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

As of Sep 4, 2026, the average yearly pay for data engineer gcp data engineer in Canton, GA is $122,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $129,800.00 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 job categories do people searching Data Engineer Gcp Data Engineer jobs in Canton, GA look for?

The top searched job categories for Data Engineer Gcp Data Engineer jobs in Canton, GA are:

What cities near Canton, GA are hiring for Data Engineer Gcp Data Engineer jobs?

Cities near Canton, GA with the most Data Engineer Gcp Data Engineer job openings:

Data Engineer Gcp Data Engineer jobs near you

Data Engineer

GEI Consultants

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

284th of 452 rated engineering

Job description

Description
Your role at GEI.
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
Essential Responsibilities & Duties
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams.

Minimum Qualifications
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.

We are GEI.
Some of the world's most pressing problems - from climate change to sustainable development, to critical infrastructure and the future of our energy supply - need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients' most complex challenges.
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here .
Employee-owned. Employee-focused.
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client-Centered, Curious, Collaborative, and Community Minded - which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI's career site here .
GEI's Total Rewards Package Includes
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 - $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here )
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More...

PHYSICAL REQUIREMENTS
WORK ENVIRONMENT
Functional Demands:
Sedentary
x
Light
Medium
Other
Activity Level Throughout Workday (check one per row)
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
x
Standing
x
Walking
x
Climbing
x
Lifting (floor to waist level) (in pounds)
x
Lifting (waist level and above) (in pounds)
x
Carrying objects
x
Push/pull
x
Twisting
x
Bending
x
Reaching forward
x
Reaching overhead
x
Squat/kneel/crawl
x
Wrist position deviation
x
Pinching/fine motor skills
x
Keyboard use/repetitive motion
x
Taste or smell (taste=never)
x
Talk or hear
x
Accurate 20/40
Very Accurate 20/20
Not Applicable
Near Vision
x
Far Vision
x
Yes
No
Not Applicable
Color Discrimination
Sensory Requirements
Minimal
Moderate
Accurate
Not Applicable
Depth perception
x
Hearing
x
Environment Requirements
Occupational Exposure Risk Potential
Reasonably Anticipated
Not Anticipated
Blood borne pathogens
x
Chemical
x
Airborne communicable diseases
x
Extreme temperatures
x
Radiation
x
Uneven surfaces or elevations
x
Extreme noise levels
x
Dust/particulate matter
x
Other (exposure risks):
Usual workday hours :
x
8
10
12
Other work hours
GEI is an AA/equal opportunity employer, including disabled and veterans.

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