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Data Engineer Iii Jobs (NOW HIRING)

Pearson

Data Engineer III

Denver, CO · On-site

$117K - $141K/yr

Data Engineer III Location: Denver, CO Hybrid (US) Team: Global Data Platform Engineering (Datamancers) Reports To: Senior Data Engineering Manager Role Summary We are seeking a highly skilled Data ...

Pearson

Data Engineer III

Denver, CO · On-site

$117K - $141K/yr

Data Engineer III Location: Denver, CO Hybrid (US) Team: Global Data Platform Engineering (Datamancers) Reports To: Senior Data Engineering Manager Role Summary We are seeking a highly skilled Data ...

V-Soft Consulting Group Inc

Data Engineer III

Cincinnati, OH · On-site

$109K - $132K/yr

Data Engineer III (Onsite) Primary Location: Cincinnati, Ohio V-Soft Consulting is currently hiring for a Data Engineer III for our premier client in Cincinnati, Ohio. Education and Experience ...

In-N-Out Burger

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

Name: Data Engineer III Location: Irvine, CA Work Type: Full-time Department: Information Technology Description & Requirements Come join our family at In-N-Out Burgers! We have an excellent ...

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer 3 - Quality Assurance (AI & Data Platforms) Location: Atlanta, Ga 30309 Duration: 10 Months Client- Southern Company Gas Position Overview We are seeking an experienced Data Engineer ...

Compunnel

Data Engineer - III

San Francisco, CA · On-site

$134K - $162K/yr

Job Summary We are seeking a Data Engineer III to support the development and modernization of a cloud-based enterprise data platform. This role is responsible for designing, developing, and ...

Stifel

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

The Data Engineer III works with large volumes of data, ensuring its quality, reliability, and accessibility. Tasks may include data ingestion, transformation, storage, data sharing and consumption ...

Stifel

Data Engineer III

Memphis, TN

$119K - $143K/yr

The Data Engineer III works with large volumes of data, ensuring its quality, reliability, and accessibility. Tasks may include data ingestion, transformation, storage, data sharing and consumption ...

Stifel

Data Engineer III

Memphis, TN

$119K - $143K/yr

The Data Engineer III is responsible for designing, developing, and maintaining data pipelines and infrastructure on the AWS platform. The Data Engineer III works with large volumes of data, ensuring ...

Saanvi Technologies

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Engineer 3 Exp: 7+ years Data Engineering work experience Education Required: Bachelor's Degree Education Preferred: Additional Safety Training/Licensing/Personal Protection Requirements: Additional ...

Deloitte

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

Share this job: Share: Share Lead Generative AI Data Engineer III with Facebook Share Lead Generative AI Data Engineer III with LinkedIn Share Lead Generative AI Data Engineer III with Twitter ...

Daikinapplied

Data Engineer III

Minneapolis, MN

$90K - $153K/yr

Data Engineer III - Plymouth, MN - Onsite Daikin Applied is seeking a Data Engineer III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products ...

Simplot Company

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

The Data Engineer III utilizes modern cloud data tools, distributed processing frameworks, and professional knowledge acquired through specialized training, education, and experience. The role ...

Deloitte

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

Share this job: Share: Share Lead Generative AI Data Engineer III with Facebook Share Lead Generative AI Data Engineer III with LinkedIn Share Lead Generative AI Data Engineer III with Twitter ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Who We Are Robert Half, one of FORTUNE's World's Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Engineer III to join the ATI Data Science Innovation ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Who We Are Robert Half, one of FORTUNE's World's Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Engineer III to join the ATI Data Science Innovation ...

Mindlance

Data Engineer 3

Birmingham, AL · On-site

$107K - $128K/yr

Mindlance is a company focused on data solutions, and they are seeking a Data Engineer 3 to manipulate and manage data in various systems. The role involves constructing datasets, normalizing ...

Simplot

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

The Data Engineer III utilizes modern cloud data tools, distributed processing frameworks, and professional knowledge acquired through specialized training, education, and experience. The role ...

J.R. Simplot Company

Data Engineer III

Boise, ID

$109K - $130K/yr

The Data Engineer III utilizes modern cloud data tools, distributed processing frameworks, and professional knowledge acquired through specialized training, education, and experience. The role ...

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Showing results 21-40

All JobsData Engineer Iii Jobs

Data Engineer Iii information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer iii jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer iii in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a data engineer III?

Data Engineer III positions are advanced roles within the data engineering field, typically requiring several years of experience and a strong background in designing, building, and maintaining data pipelines and architectures. Professionals at this level work on complex data projects, optimize data workflows, and often mentor junior team members. They collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and secure for analytics and business use. Additionally, they may be responsible for evaluating new technologies and implementing best practices in data engineering.

How does a Data Engineer III typically collaborate with data scientists and analysts on complex projects?

As a Data Engineer III, you frequently work closely with data scientists and analysts to design, build, and optimize data pipelines that support advanced analytics and machine learning initiatives. Your role often involves translating analytical requirements into scalable data solutions, ensuring data quality, and troubleshooting issues that arise during model development or deployment. Effective communication and a proactive approach to identifying potential data bottlenecks are key, as you may lead technical discussions and provide guidance on best practices for data integration and management within cross-functional teams.

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

To thrive as a Data Engineer III, you need advanced expertise in data modeling, ETL processes, SQL, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, and cloud platforms such as AWS or Azure, as well as relevant certifications, is crucial. Strong problem-solving, communication, and project management skills help you collaborate effectively across teams and address complex data challenges. These competencies ensure reliable, scalable data solutions that support business insights and decision-making.

What is the difference between Data Engineer Iii vs Data Engineer Ii?

CriteriaData Engineer IiiData Engineer Ii
Required CredentialsBachelor's degree in Computer Science or related field; experience with cloud platformsBachelor's degree; some experience with data pipelines
Work EnvironmentCollaborates with data teams, often in cloud or on-premises environmentsSupports data infrastructure, typically under supervision
Employer & Industry UsageUsed in tech, finance, healthcare sectorsCommon in similar industries, often entry to mid-level roles
Search & Comparison IntentOften searched for career progression or role differencesCompared for entry-level or intermediate roles

Data Engineer Iii typically has more experience and responsibilities than Data Engineer Ii, including designing complex data pipelines and working independently. While both roles require similar educational backgrounds, the Iii level demands advanced skills and a deeper understanding of data architecture, making it suitable for more senior technical tasks within data teams.

More about Data Engineer Iii jobs

What cities are hiring for Data Engineer Iii jobs?

Cities with the most Data Engineer Iii job openings:

What states have the most Data Engineer Iii jobs?

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What job categories do people searching Data Engineer Iii jobs look for?

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Data Engineer Iii jobs near you
Infographic showing various Data Engineer Iii job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer III

Pearson

Denver, CO • On-site

$117K - $141K/yr

Other

Posted 11 days ago

Job description


Data Engineer III
Location: Denver, CO Hybrid (US)
Team: Global Data Platform Engineering (Datamancers)
Reports To: Senior Data Engineering Manager
Role Summary
We are seeking a highly skilled Data Engineer III to help design, build, and scale enterprise data products on Google Cloud Platform (Google Cloud Platform). This role is responsible for developing modern data pipelines, transformation frameworks, semantic data models, and analytics solutions that power business-critical reporting, advanced analytics, and AI-enabled use cases across Pearson. The ideal candidate combines strong data engineering practices with deep expertise in cloud-native data platforms, data modeling, analytics engineering, and platform governance. This role will work across Data Products / Data 360s and other strategic data initiatives utilizing BigQuery, dbt, Looker, Power BI, and modern CI/CD practices.
Key Responsibilities
  • Design, build, and maintain scalable data pipelines and ELT workflows on Google Cloud Platform using our DBT platform.
  • Develop and support data products using Medallion Architecture (Bronze, Silver, and Gold layers).
  • Build and maintain dbt models, reusable transformations, and analytics engineering frameworks.
  • Design optimized BigQuery data models, datasets, views, and performance tuning strategies.
  • Implement automated data quality, testing, observability, and monitoring solutions.
  • Develop and support semantic models for analytics and reporting platforms including Looker and Power BI.
  • Partner with analytics engineers, software engineers, QA engineers, architects, and business stakeholders to deliver trusted data products.
  • Support CI/CD, release management, automated testing, and deployment processes.
  • Implement and maintain data governance, security, privacy, and access control standards.
  • Contribute to architecture decisions, platform standards, and engineering best practices.
  • Troubleshoot production issues and drive continuous platform improvements focused on reliability, scalability, and operational excellence.
Required Skills & Experience
Technical Skills
  • Google Cloud Platform (Google Cloud Platform)
  • BigQuery
  • dbt Core
  • Advanced SQL
  • Python
  • REST API integration
  • Git / GitHub
  • CI/CD pipelines
  • Data modeling and dimensional modeling
  • Data quality and test automation
  • Performance optimization and query tuning
  • Cloud-native architecture and software engineering practices
  • AI Agent Frameworks and Implementations (Google Cloud Platform Gemini)
Analytics & Visualization
  • Looker / LookML
  • Power BI
  • Semantic modeling
  • KPI and metric development
  • Dashboard optimization and analytics enablement
Engineering Practices
  • Agile development methodologies
  • DevOps and automation practices
  • Infrastructure-as-Code concepts
  • Monitoring and observability frameworks
  • Technical design and architecture documentation
  • Peer reviews and collaborative engineering practices
Preferred Qualifications
  • Experience building enterprise-scale data and analytics platforms.
  • Experience supporting Marketing, Digital Analytics, Customer, or Advertising data domains.
  • Experience implementing Medallion Architecture and data product operating models.
  • Experience with orchestration technologies such as Airflow, Cloud Composer, or Cloud Run.
  • Understanding of data governance, GDPR, PII management, and enterprise security controls.
  • Experience supporting AI, machine learning, and conversational analytics use cases.
  • Experience working in highly collaborative cross-functional environments with product, engineering, governance, and business stakeholders.
What Success Looks Like
  • Delivers high-quality, production-ready data solutions with minimal supervision.
  • Drives improvements in platform reliability, scalability, performance, and maintainability.
  • Establishes reusable engineering patterns, frameworks, and best practices.
  • Automates manual processes and improves operational efficiency across the platform.
  • Partners effectively with stakeholders to translate business requirements into scalable technical solutions.
  • Provides technical leadership, mentors fellow engineers, drives engineering best practices, and influences the technical direction of enterprise data products.
  • Enables trusted, governed, and scalable data products that accelerate analytics and business decision-making.
Ideal Candidate Profile
A senior-level Data Engineer with strong expertise in Google Cloud Platform, BigQuery, dbt, Python, and analytics engineering who can independently own the end-to-end delivery of enterprise data products while influencing platform architecture, engineering standards, governance practices, and the long-term evolution of Pearson's modern data ecosystem.
Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:
The minimum full-time salary range is between $80,000 - $100,000
This position is eligible to participate in an annual incentive program, and information on benefits offered is here.
Applications will be accepted through 17th August 2026. This window may be extended depending on business needs.

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