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Data Engineer Gcp Data Engineer Jobs in Highlands Ranch, CO

Lead Data Engineer

Aurora, CO · On-site

$125 - $150/hr

Principal Data Engineer Location: Remote (within the U.S.) Environment: Remote Status: Exempt, Salaried Who We Are: Recognized by Gartner in their Modern 4PL Market Guide, Redwood Logistics is at the ...

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

ClifyX is seeking a Data Engineer with hands-on experience in Snowflake and Python. This critical onsite role requires the candidate to work from the Denver, CO office starting Day 1. Qualifications

Sr. Data Engineer

Greenwood Village, CO · On-site

$115K - $139K/yr

Advanced SQL skills (ETL) * Expertise in data engineering languages such as Scala (preferred) or Java, with proficiency in Python * Experience with BigData tools, particularly Spark, and familiarity ...

Data Engineer, Senior

Aurora, CO · On-site +1

$77K - $176K/yr

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

Sr Developer/Data Engineer

Denver, CO · On-site

$80 - $100/hr

... Data Engineer - SQL & Terraform Remote role Compensation: $55 - $65 per hour ABOUT THE ROLE Our ... Implement and manage data ingestion from on-prem and cloud source systems using GCP tools (Dataflow ...

AWS Data Engineer Location: Greenwood Village, CO Mode Of Work: 4 Days Onsite W2 Role Visa: GC, GC EAD, H4 EAD & USC only Overview: We are partnering with a leading enterprise client to hire a Senior ...

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

The Senior Data Engineer will design, build, maintain, and optimize the pipelines, data models ... Hands-on experience with a major cloud platform (AWS, Azure, or GCP) and a modern data platform ...

Data Engineer, Mid

Aurora, CO · On-site

$125 - $150/hr

As a data engineer, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Data Engineer I

Denver, CO · On-site

$80 - $100/hr

YOUR MISSION We are looking for a Data Engineer I who is an exceptional early-career engineer with strong Python and SQL skills and a passion for solving complex challenging technical problems and ...

New

AWS Data Engineer

Greenwood Village, CO · On-site +1

$115K - $139K/yr

AWS Data Engineer Location: Greenwood Village, CO Mode Of Work: 4 Days Onsite W2 Role Visa: GC, GC EAD, H4 EAD & USC only Overview: We are partnering with a leading enterprise client to hire a Senior ...

Data Engineer I

Denver, CO · On-site

$85K - $115K/yr

YOUR MISSION We are looking for a Data Engineer I who is an exceptional early-career engineer with strong Python and SQL skills and a passion for solving complex challenging technical problems and ...

Hybrid 4 days onsite, 1 remote. in Greenwood Village, CO Our client seeks a motivated and curious Data Engineer to join the pipeline team. The role focuses on building and optimizing data ingestion ...

Data Engineer

Greenwood Village, CO · On-site

$65 - $75/hr

Hybrid 4 days onsite, 1 remote. in Greenwood Village, CO Our client seeks a motivated and curious Data Engineer to join the pipeline team. The role focuses on building and optimizing data ingestion ...

Hybrid 3 days onsite / 2 remote in Greenwood Village, CO Our client is seeking a Data Engineer IV for the Infrastructure Intelligence and Analytics team to design, build, and maintain scalable ETL ...

Technology|Cloud Platform|GCP Core Services Technical Skills 2 Foundational|Development process ... Experience in leading end‑to‑end design and delivery of scalable data engineering solutions ...

Hybrid 3 days onsite / 2 remote in Greenwood Village, CO Our client is seeking a Data Engineer IV for the Infrastructure Intelligence and Analytics team to design, build, and maintain scalable ETL ...

Software Engineer II, Data Engineer

Denver, CO · On-site

$117K - $141K/yr

They are seeking a Software Engineer to join their Data & Platform Engineering team, focusing on ... GCP, or Azure) and related infrastructure. • Understanding of distributed systems concepts and ...

Showing results 41-60

Data Engineer Gcp Data Engineer information

See Highlands Ranch, CO salary details

$46.7K

$136.2K

$186.3K

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

As of Sep 7, 2026, the average yearly pay for data engineer gcp data engineer in Highlands Ranch, CO is $136,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,200.00 and $144,300.00 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 are popular job titles related to Data Engineer Gcp Data Engineer jobs in Highlands Ranch, CO?

For Data Engineer Gcp Data Engineer jobs in Highlands Ranch, CO, the most frequently searched job titles are:

What job categories do people searching Data Engineer Gcp Data Engineer jobs in Highlands Ranch, CO look for?

The top searched job categories for Data Engineer Gcp Data Engineer jobs in Highlands Ranch, CO are:

Infographic showing various Data Engineer Gcp Data Engineer job openings in Highlands Ranch, CO as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $136,152 per year, or $65.5 per hour.

$125 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Key responsibilities

  • Lead and mentor a team of data engineers, providing guidance, support, and technical expertise

  • Design, develop, and maintain scalable data pipelines, data vault, data warehouses, and data marts

  • Collaborate with stakeholders to deliver key metrics and establish data strategy


Job description

Careers at Redwood LogisticsBack to Job Openings Lead Data Engineer

Lead Data Engineer

Reports To: Principal Data Engineer

Location: Remote (within the U.S.)

Environment: Remote

Status: Exempt, Salaried

Who We Are:

Recognized by Gartner in their Modern 4PL Market Guide, Redwood Logistics is at the forefront of industry innovation. Our cutting-edge supply chain technology pairs with the expertise of our brilliant minds to empower logistics execution across North America and Mexico.

Leveraging a comprehensive range of services, data-centric network solutions, and a seamlessly integrated platform, we have established our prominence as a key player in the mid-market segment within the freight tech industry.

Whether you’re just starting your career or are an established professional looking for your next opportunity, Redwood inspires innovation across teams to provide transformative solutions for our customers.

Purpose of Your Work:

As Lead Data Engineer working within Shared Services (one of our entities), you will be responsible for leading a team of data engineers working on designing, developing, and maintaining scalable data pipelines, a data vault, and various data warehouses and marts. You will work with stakeholders across all departments to deliver key metrics across a variety of functional areas, as well as participate in establishing data strategy.

How You Make a Difference Everyday:

  • Lead and mentor a team of data engineers, providing guidance, support, and technical expertise
  • Manage backlog grooming, sprint planning, and prioritization activities for data engineering projects
  • Collaborate with business and technical leaders to set and execute both strategic and tactical initiatives
  • Stay current with emerging trends and technologies in data engineering. Identify and evaluate new platforms and tools to enhance the tech stack and improve data infrastructure and processes
  • Design, develop, and maintain robust data pipelines from various TMS and other data sources.
  • Design and implement new data structures or extend existing structures to support evolving business requirements
  • Ensure the accuracy, reliability, and completeness of data through effective data validation and monitoring processes
  • Develop and maintain our Data Vault, Data Warehouse, and Data Marts to deliver key metrics to operational and business stakeholders
  • Collaborate with a wide variety of users, including internal stakeholders, executives, clients, engineers, and external vendors
  • Improve and harden processes like code deployments, data validation, error handling/alerting, data democratization, and modernizing tech debt

You’ve Got This?

  • Bachelor’s Degree required (or equivalent experience); preference in Business Administration, Mathematics, Computer Science, or related field
  • Creative thinker who is intellectually curious, with a passion for solving puzzles and continuous learning
  • 8+ years technology experience with one or more of the following:
    • Amazon Relational Database Service (Aurora, MySQL)
    • Microsoft SQL Server
    • Snowflake
  • Exceptional SQL development and performance tuning skills
  • Strong experience with Python language, libraries, applications, and concepts:
    • Pandas
    • Streamlit
    • NumPy
    • Understanding of JSON and CSV
    • Requests
  • Experience with the following is a strong plus:
    • TMS, WMS, or other enterprise logistics platforms
    • Data Vault 2.0
    • Fivetran
    • Azure Data Factory
    • REST API
    • Proficiency in clouds platforms such as AWS, Azure, or Google Cloud
    • Coalesce.io
    • YAML
  • Experience with git, DevOps, and CI/CD is a strong plus
  • Self-starter, entrepreneurial, highly adaptable who can take initiative in a fast-moving environment.
  • Strong communication and leadership skills

What We Offer:

  • Access to experts and resources for your Learning & Development journey
  • Opportunity for internal mobility
  • Employee referral bonus program
  • Employee Resource Groups (ERGs)
  • Annual fundraising and volunteer events to give back to communities
  • Paid time off, floating holidays, time off to volunteer and rollover
  • Paid parental leave
  • Medical, dental, vision and 401k plans (with match)
  • Flexible spending account, mass transit and dependent care plans available
  • Health savings account, with a annual company contribution for plan participants
  • Short-term and long-term disability; life insurance policies subsidized by company
  • Additional benefits including pet insurance, accident care, access to legal advice and more

Work Schedule:

This position is full-time and remote Monday through Friday from 8:00 AM to 5:00 PM with an hour break, but flexibility is available based on coverage.

Compensation Range:

Salary Range:

$135,000 - $155,000

This position is eligible to earn annual incentives based on individual and company performance.

The estimated pay range reflects an anticipated range for this position. The actual base salary offered will depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the geographical location in which the applicant lives and/or which they will be performing the job.

Redwood is an equal opportunity employer. Employment decisions at the Company are based on individual merit, qualifications, abilities, and the Company’s needs and resources. The Company does not discriminate in recruiting, hiring, compensation, promotions, discipline, termination or any other aspect of employment on the basis of an individual’s actual or perceived race, color, creed, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, national origin, ancestry, citizenship status, age, disability, marital status, military service or status, genetic information, arrest and conviction record, credit history, or any other basis protected by applicable law.

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