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Data Engineer; Consultant

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Credera
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, IT Consultant, Data Science Manager
Salary/Wage Range or Industry Benchmark: 85000 - 105000 USD Yearly USD 85000.00 105000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer (Consultant)
Job Description

Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries. We continuously evolve our services to meet the needs of future organizations and reflect modern best practices. Our unique global approach provides tailored solutions, transforming the most influential brands and organizations worldwide.

Agency

Credera

Job Function

Consulting

Job Subfunction

Technology Consulting

Job Description

Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries. We continuously evolve our services to meet the needs of future organizations and reflect modern best practices. Our unique global approach provides tailored solutions, transforming the most influential brands and organizations worldwide.

Our employees, the lifeblood of our company, are passionate about making an extraordinary impact on our clients, colleagues, and communities. This passion drives how we spend our time, resources, and talents. Our commitment to our people and work has been recognized globally.

Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries. We continuously evolve our services to meet the needs of future organizations and reflect modern best practices. Our unique global approach provides tailored solutions, transforming the most influential brands and organizations worldwide.

Our employees, the lifeblood of our company, are passionate about making an extraordinary impact on our clients, colleagues, and communities. This passion drives how we spend our time, resources, and talents. Our commitment to our people and work has been recognized globally.

The Role

We are looking for a passionate Data Engineer to add to our Data Engineering capability group. Our ideal candidate is excited about being on project-based teams in a client facing roles to architect and implement enterprise data solutions. The Data Engineer will be part of our team of strategy and technology consultants, contributing to projects focused on data strategy, data science, modern data architecture, data visualization and insights.

You are an experienced data pipeline developer who enjoys data wrangling, optimizing data flows, and building solutions for data collection and analysis. You are experienced with developing and deploying cloud-based data solutions. You are team player who is passionate about building team culture. You enjoy a fast-paced environment, solving business problems with the use of data. The Data Engineer will be comfortable applying their expertise across many use cases in various industries.

Who You Are
  • You have 1+ years of hands-on experience delivering cloud enterprise solutions across multiple domains in industry or technology consulting.
  • You often become an SME on a topic and are sought out by others on your team for your technical expertise and opinion.
  • You have an understanding of cloud solution architecture in one or more major cloud service providers (AWS, GCP, Azure).
  • Experience with Databricks and/or Snowflake

You have technical knowledge and experience in some of these areas:

Cloud Native Tooling
  • AWS:
    Lambda, Aurora, EC2, Fargate, S3, etc.
  • Azure:
    Functions, Queue Storage, Cosmos DB, App Services, etc.
  • GCP:
    Compute Engine, GKE, Cloud Functions, etc.
Cloud Platform Engineering
  • Terraform, Cloud Formation,…
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