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Data Engineering Consultant Jobs in Colorado (NOW HIRING)

Releady

Data Engineer, Consultant

Denver, CO · On-site +1

$140K - $160K/yr

The Consultant partners closely with Solution Design Leads, Architects, Product Managers, and ... Technical Leadership & Standards Influence and evolve the data engineering standards, patterns, and ...

Trace3

Sr. Platform Engineering Consultant

Denver, CO

... data/AI, security, managed services). * Contribute to the ongoing development and maturation of ... Consulting Platform Engineering offerings, frameworks, and go-to-market (GTM) collateral. Platform ...

CPI Card Group

Director Data Engineering

Littleton, CO · On-site

Budget, Vendor, and Stakeholder Management (15%) - Own the data engineering budget, including cloud spend, tooling, and consulting partners. Lead vendor evaluation, selection, and management, and ...

Trace3

Sr. Platform Engineering Consultant

Denver, CO · On-site

... data/AI, security, managed services). * Contribute to the ongoing development and maturation of ... Consulting Platform Engineering offerings, frameworks, and go-to-market (GTM) collateral. Platform ...

Datavail

Data Engineer

Boulder, CO

$112K - $134K/yr

USA Exp: 5+ 7 + years of IT experience Databricks (data engineering, SQL, notebooks, app/backend ... Proven experience in client facing consulting roles, including requirements discovery, solution ...

Datavail

Data Engineer

Boulder, CO · On-site

$112K - $134K/yr

USA Exp: 5+ 7 + years of IT experience Databricks (data engineering, SQL, notebooks, app/backend ... Proven experience in client facing consulting roles, including requirements discovery, solution ...

Datavail

Data Engineer

Boulder, CO · On-site

$112K - $134K/yr

USA Exp: 5+ 7 + years of IT experience Databricks (data engineering, SQL, notebooks, app/backend ... Proven experience in client facing consulting roles, including requirements discovery, solution ...

CapTech Consulting

Data Engineer (AWS, Azure, GCP)

Denver, CO · On-site

$117K - $141K/yr

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines ...

GEI Consultants

Data Engineer

Denver, CO

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... of engineering, science, and technical consulting services. Our range of expertise, project types ...

GEI Consultants

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... of engineering, science, and technical consulting services. Our range of expertise, project types ...

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All JobsData Engineering Consultant JobsData Engineering Consultant Jobs in Colorado

Data Engineering Consultant information

See Colorado salary details

$12

$47

$82

How much do data engineering consultant jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for data engineering consultant in Colorado is $47.21, according to ZipRecruiter salary data. Most workers in this role earn between $31.83 and $63.17 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Engineering Consultant, and why are they important?

To thrive as a Data Engineering Consultant, you need strong programming skills (e.g., Python, SQL), expertise in data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), ETL tools, and data warehousing systems is typically required, along with relevant certifications. Excellent problem-solving, communication, and project management skills help consultants effectively translate business needs into technical solutions and collaborate with stakeholders. These skills are crucial for designing robust, scalable data architectures that drive actionable insights and meet client objectives.

What are some common challenges faced by Data Engineering Consultants when working with clients, and how can they be addressed?

Data Engineering Consultants often encounter challenges such as integrating data from disparate sources, ensuring data quality, and aligning technical solutions with client business goals. Successfully addressing these issues involves strong communication skills to clarify requirements, a deep understanding of modern data platforms, and the ability to recommend scalable architectures. Building trust with stakeholders and proactively managing expectations are also key to overcoming obstacles and delivering impactful results.

What does a Data Engineering Consultant do?

A Data Engineering Consultant helps organizations design, build, and optimize systems for collecting, storing, and analyzing large volumes of data. They work with clients to understand their data needs, recommend appropriate technologies, and implement solutions that support data-driven decision making. Their role often includes integrating data from different sources, ensuring data quality, and optimizing data pipelines for performance and scalability. Data Engineering Consultants also provide guidance on best practices and may assist in training in-house teams.

What is the difference between Data Engineering Consultant vs Data Analyst?

AspectData Engineering ConsultantData Analyst
Required CredentialsBachelor's/Master's in CS, Data Science, or related; certifications like AWS, Azure, GCPBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentDesigning data pipelines, building infrastructure, working with cloud platformsAnalyzing data sets, creating reports, visualizations, and insights
Employer & Industry UsageTech companies, consulting firms, finance, healthcareMarketing agencies, finance, retail, healthcare

While both roles work with data, Data Engineering Consultants focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide insights. The roles often collaborate but require different skill sets and tools.

What are popular job titles related to Data Engineering Consultant jobs in Colorado? For Data Engineering Consultant jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Engineering Consultant jobs in Colorado look for? The top searched job categories for Data Engineering Consultant jobs in Colorado are:
Data Engineering Consultant jobs near you
Infographic showing various Data Engineering Consultant job openings in Colorado as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 84% Full Time, 9% Part Time, and 5% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $98,191 per year, or $47.2 per hour.

Data Engineer, Consultant

Releady

Denver, CO • On-site, Remote

$140K - $160K/yr

Contractor

Posted 9 days ago

Job description

OVERVIEW

Releady is partnering with a leading healthcare technology company to hire a Data Engineer, Consultant for its Data Services team. This organization provides the technology backbone and shared data infrastructure for nonprofit, community, and regional health plans nationwide, unifying clinical, claims, demographic, and provider data into a single governed platform that powers automation and AI deployment across core health plan operations.

This role is a senior individual contributor and technical leader who reports to a Senior Manager or Manager within Data Solutions and drives end-to-end delivery of complex data engineering solutions across cloud data platforms. The Consultant partners closely with Solution Design Leads, Architects, Product Managers, and business stakeholders to translate solution designs and business requirements into scalable, secure, production-ready data products, and provides technical leadership and mentorship without formal people management responsibility.

NOTE: *Must be eligible to work on W2 without sponsorship. Not eligible for C2C.

  • Pay Rate: $70–$80/hr
  • Duration: 6-month contract-to-hire
  • Location: Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD, MN, NV, OR, AL, IL, VA, WI, TX, NY
RESPONSIBILITIES

Solution Architecture & Delivery

Lead the design and implementation of complex data pipelines and data products from development through production.

Translate solution designs and business requirements into detailed technical architecture and implementation plans.

Architect and build scalable, secure, and highly available data solutions across enterprise data platforms.

Apply advanced data modeling techniques, including Data Vault 2.0, dimensional, and domain-oriented models, to support analytics and reporting needs.

Quality, Security & Operational Excellence

Embed data quality, testing, security, and observability by design across data pipelines.

Drive operational excellence, including incident analysis, stabilization, performance tuning, and deployment optimization.

Identify and implement optimization opportunities related to performance, reliability, and cloud cost management.

Technical Leadership & Standards

Influence and evolve the data engineering standards, patterns, and frameworks used by delivery teams.

Provide technical leadership and mentorship to Data Engineers and Senior Data Engineers through design reviews and code reviews.

Work within an agile / DevSecOps pod model, collaborating closely with solution leads, data modelers, analysts, and business partners.

AI Enablement & Stakeholder Communication

Support integration of AI/ML-ready datasets by ensuring data is well-modeled, reliable, and governed.

Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

QUALIFICATIONS

Bachelor's degree or equivalent experience, with a minimum of seven years of data engineering experience.

Advanced hands-on expertise in SQL, including automation and pipeline optimization.

Strong experience with cloud platforms, Azure preferred, and services such as ADLS, Synapse, and Data Factory.

Extensive experience with modern data platforms including Snowflake and Databricks, and orchestration tools such as Airflow or Tidal.

Deep understanding of data modeling, integration patterns, data architecture, data quality, and data warehousing.

Proven experience implementing CI/CD pipelines, Infrastructure as Code, and DataOps practices.

Strong understanding of security, privacy, and compliance requirements in regulated environments.

Experience working with large-scale, distributed data platforms and parallel processing architecture.

Experience with Airflow or Tidal (migrating from Tidal; comparable orchestration tools considered)

Excellent communication and stakeholder engagement skills, with a proven ability to lead technically without formal people management responsibility.

Healthcare industry experience is preferred, including exposure to Epic or similar ecosystems.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor. We are committed to creating a diverse and inclusive environment for all employees.