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Senior Data Solutions Engineer Jobs in Colorado (NOW HIRING)

Data Engineer III

Denver, CO · On-site +1

$117K - $141K/yr

Senior Data Engineering Manager Role Summary We are seeking a highly skilled Data Engineer III to ... Implement automated data quality, testing, observability, and monitoring solutions. * Develop and ...

Senior Data Architect

Denver, CO · On-site

$69.25 - $92.75/hr

As a Senior Data Architect on Generac's Industrial Cloud team , you will play a critical role in ... solutions. This role sits at the intersection of architecture, data engineering, and platform ...

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

Ibotta is looking for a software-focused Sr. Data Engineer to join our team and contribute to our ... Demonstrated ability to evaluate and integrate AI into the solution tech stack, including ...

Senior Data Architect

Fort Collins, CO · On-site

$66.50 - $89/hr

As a Senior Data Architect on Generac's Industrial Cloud team , you will play a critical role in ... solutions. This role sits at the intersection of architecture, data engineering, and platform ...

We're equally committed to building careers as we are to building solutions. If you're looking for ... As a Senior Data Engineer on the Platform Team, you will be a part of driving the design ...

Senior Data Engineer, Global

Denver, CO

$109K - $148K/yr

Vantage Data Centersis seeking a Senior Data Engineer to help evolve and scale our enterprise data ... Design, build,andoptimizescalable,secure data pipelines and data platform solutions using modern ...

The Principal Solutions Engineer will serve as a senior technical authority for designing and ... The ideal candidate will have a strong background in solution design, data management, and ...

Senior Data Engineer, Global

Denver, CO · On-site

$109K - $148K/yr

Vantage Data Centers is seeking a Senior Data Engineer to help evolve and scale our enterprise data ... Design, build, and optimize scalable, secure data pipelines and data platform solutions using ...

Senior Snowflake Data Engineer

Northglenn, CO · On-site

$107K - $145K/yr

We are seeking an experienced Senior Snowflake Data Engineer to design, develop, and optimize ... Design, develop, and maintain scalable data engineering solutions using Snowflake, dbt, and Python.

Senior Snowflake Data Engineer

Lafayette, CO · On-site

$110K - $149K/yr

We are seeking an experienced Senior Snowflake Data Engineer to design, develop, and optimize ... Design, develop, and maintain scalable data engineering solutions using Snowflake, dbt, and Python.

Senior Snowflake Data Engineer

Louisville, CO · On-site

$110K - $150K/yr

We are seeking an experienced Senior Snowflake Data Engineer to design, develop, and optimize ... Design, develop, and maintain scalable data engineering solutions using Snowflake, dbt, and Python.

Senior Data Engineer

Denver, CO

$109K - $148K/yr

As a Senior Data Engineer, you'll lead the execution of core services and data pipelines, delivering reliable, high-quality solutions that keep the platform fast and accurate as our product surface ...

Onsite in Denver, CO W2 only Senior Data Engineer Requirements: * 8+ years experience with BI tools (Power BI, Tableau, Amazon QuickSight). * 8+ years in data engineering (ETL, data transformation ...

Senior Snowflake Data Engineer

Superior, CO

$107K - $145K/yr

We are seeking an experienced Senior Snowflake Data Engineer to design, develop, and optimize ... Design, develop, and maintain scalable data engineering solutions using Snowflake, dbt, and Python.

Data Engineer, Senior

Denver, CO · On-site +1

$140K - $170K/yr

This role will report to a Senior Manager or Manager within Data Solutions and will independently ... The Data Engineer, Senior is a hands-on technical leader who ensures production readiness and ...

Collaborate with engineers, architects, and data scientists to implement scalable solutions to ... a Senior Data Engineer to join us as we work to shape the way businesses perceive and navigate ...

Showing results 41-60

Senior Data Solutions Engineer information

What is the difference between Senior Data Solutions Engineer vs Data Engineer?

AspectSenior Data Solutions EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platformsBachelor's/Master's in CS, Data Science, or related; certifications in cloud or data tools are common
Work EnvironmentDesigning data solutions, collaborating with teams, client-facing rolesBuilding and maintaining data pipelines, ETL processes, data infrastructure
Industry UsageUsed across tech, finance, healthcare, and enterprise sectors for data solutionsPrimarily in tech, finance, and data-centric companies for data infrastructure

The Senior Data Solutions Engineer focuses on designing and implementing comprehensive data solutions, often working closely with clients and cross-functional teams. Data Engineers primarily build and maintain data pipelines and infrastructure. While both roles require similar technical skills and certifications, the Solutions Engineer emphasizes solution design and client interaction, whereas the Data Engineer concentrates on data pipeline development and maintenance.

What are the most commonly searched types of Data Solutions Engineer jobs in Colorado? The most popular types of Data Solutions Engineer jobs in Colorado are:
What are popular job titles related to Senior Data Solutions Engineer jobs in Colorado? For Senior Data Solutions Engineer jobs in Colorado, the most frequently searched job titles are:
Infographic showing various Senior Data Solutions Engineer job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.

Data Engineer III

Pearson

Denver, CO • On-site, Remote

$117K - $141K/yr

Full-time

Posted 6 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 (GCP). 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 GCP 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 (GCP)
  • 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 (GCP 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 GCP, 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.
Who we are:
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.
Job: Engineering
Job Family: TECHNOLOGY
Organization: OCTO
Schedule: FULL_TIME
Workplace Type: Remote
Req ID: 25309