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Data Engineer (AWS, Azure, GCP)

Denver, CO, United States

Live, first seen by us 89 days ago
Pay
$90,000–200,000/year · BaseAnnual period assumed — pay source
CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com. CapTech supports Equal Pay for all. In addition, in the State of Colorado, we are committed to Equal Pay for ALL in accordance with the Colorado Equal Pay for Equal Work Act. The base pay range for this role is: $90,000 - $200,000. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
Read the full posting
Work setting
On-site — work setting source
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workAt this time, CapTech cannot transfer nor sponsor a work visa for this position

What you’ll bring

All qualifications

Core experience

  • Experience designing and implementing data architecture solutions
  • Demonstrable ability to deliver production data pipelines
Qualification wording
Experience in the design and implementation of data architecture solutions
A demonstrable ability to deliver production data pipelines and other data products.
Apply at CapTech Consulting

Posting record

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Status in our records
Live
First seen by us
Aug 15, 202689 days ago
Recorded sightings
244
Last seen by us
Nov 12, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$90K–$200K against $127K–$190K, the middle half of what similar US postings state.

From 2,239 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 89

Up longer than most. Similar jobs usually come down between day 6 and day 55.

At CapTech Consulting, jobs usually come down by about day 46.

From 13,324 similar postings that came down, and 36 of CapTech Consulting’s. Coming down is not always a hire.

CapTech Consulting is hiring

56 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring has slowed
  • Takes jobs down at a usual pace
  • 34% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C#
  • C++
  • Java
  • Python
  • R
  • SQL
  • AWS
  • Azure
  • BigQuery
  • Databricks
  • Docker
  • GCP
  • Hadoop
  • Kafka
  • Kubernetes
  • PostgreSQL
  • Redshift
  • Snowflake
  • Spark
  • SQL Server
  • C
  • Oracle
Where the posting names them
Successful candidates usually have demonstrable experience with technologies in some of these categories: - Languages: SQL, Python, Java, R, C# / C++ / C - Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle
- Experience in the design and implementation of data architecture solutions - A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines - Ability to assess and utilize traditional and modern architectural components required based on business needs.
- Languages: SQL, Python, Java, R, C# / C++ / C - Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle - DevOps: git, docker, subversion, Kubernetes, Jenkins
Specific responsibilities for the Data Engineer – Cloud position include: - Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) - Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly
- Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR - Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer Additional Information
- DevOps: git, docker, subversion, Kubernetes, Jenkins - Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR - Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer
- Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle - DevOps: git, docker, subversion, Kubernetes, Jenkins - Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR

Your next step

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Has CapTech Consulting posted this job before?

Yes. We’ve followed 9 other Data Engineer (AWS, Azure, GCP) jobs there since June 2026. 2 came down, usually after about 59 days. 7 are still up.

  1. RichmondCame down after 45 days, first seen Jul 1
  2. AtlantaStill up after 89 days, first seen Aug 15
  3. RichmondStill up after 89 days, first seen Aug 15
  4. ChicagoStill up after 89 days, first seen Aug 15
  5. RestonStill up after 89 days, first seen Aug 15
  6. PhiladelphiaStill up after 89 days, first seen Aug 15
  7. ColumbusStill up after 89 days, first seen Aug 15
  8. CharlotteStill up after 89 days, first seen Aug 15
  9. This jobUp 89 days so far, first seen Aug 15

Large employers often post one title for several teams, so these can be separate openings.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

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 and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. 

Specific responsibilities for the Data Engineer – Cloud position include:  

  • Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) 
  • Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly 
  • Utilizing your skills in engineering best practices to solve complex data problems 
  • Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization.  
  • Articulating architectural differences between solution methods and the advantages/disadvantages of each 

Qualifications

Typical experience for successful candidates includes:    

  • Experience delivering solutions on a major cloud platform 
  • Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture 
  • Experience in the design and implementation of data architecture solutions 
  • A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines 
  • Ability to assess and utilize traditional and modern architectural components required based on business needs.   
  • A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning. 

Skills: 

Successful candidates usually have demonstrable experience with technologies in some of these categories:  

  • Languages: SQL, Python, Java, R, C# / C++ / C 
  • Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle 
  • DevOps: git, docker, subversion, Kubernetes, Jenkins 
  • Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR 
  • Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer

 

Additional Information

We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions.  You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way.  Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. 

  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. 
  • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs
  • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care
  • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. 
  • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values.  We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE.  As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.

CapTech supports Equal Pay for all. In addition, in the State of Colorado, we are committed to Equal Pay for ALL in accordance with the Colorado Equal Pay for Equal Work Act. The base pay range for this role is: $90,000 - $200,000. 

At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.  

Company Description

CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.

 

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Location & working pattern

Denver, CO, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization
CapTech supports Equal Pay for all. In addition, in the State of Colorado, we are committed to Equal Pay for ALL in accordance with the Colorado Equal Pay for Equal Work Act. The base pay range for this role is: $90,000 - $200,000. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. Company Description

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