Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
GCP Data Engineer
Phoenix, Arizona, United States
Open 4 months, first seen by us 123 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
On-site — work setting source
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
- Employer’s visa record
- 291 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingBuild large-scale ETL/ELT pipelines on GCP
Design analytical architectures for client data platforms
Optimize query performance on cloud platforms
Help drive enterprise data and cloud migration programs
From the employer’s posting
building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem
analytical architectures within the GCP ecosystem
optimizing query performance on cloud platforms
driving enterprise migration programs across data, applications, and cloud platforms
What you’ll bring
All qualificationsCore experience
- 5+ years in data engineering, 3+ years on GCP
- Strong SQL and Python, or Java/Scala, for data processing
- Hands-on GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub
- Data modeling, partitioning and schema design for analytics
- Bachelor's or Master's in Computer Science, Engineering or related field
Qualification wording
5+ years of experience in data engineering, with at least 3+ years working extensively on GCP
Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting
Proven experience with GCP services such as: BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Cloud Functions
Solid understanding of data modeling, partitioning, and schema design for analytical workloads
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field
Education & alternatives
- Familiarity with CI/CD practices, Terraform, and version control (e.g., Git). - Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field. Benefits
Benefits in the posting
Full benefits wording- Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
From the employer’s posting.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 123 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 12, 2026123 days ago
- Recorded sightings
- 213
- Last seen by us
- Nov 12, 2026
- Employer says posted
- Jul 10, 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
Time since we first saw it
Day 123
Up longer than most. Similar jobs usually come down between day 6 and day 56.
At Tiger Analytics, jobs usually come down by about day 68.
From 13,341 similar postings that came down, and 27 of Tiger Analytics’s. Coming down is not always a hire.
Tiger Analytics is hiring
74 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is steady
- Its jobs tend to stay up a long time
- 1% of open jobs were reposted
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.
- Java
- Python
- Scala
- SQL
- BigQuery
- GCP
- Terraform
- Airflow
Where the posting names them
- 5+ years of experience in data engineering, with at least 3+ years working extensively on GCP. - Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting. - Proven experience with GCP services such as: BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Cloud Functions
- Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting. - Proven experience with GCP services such as: BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Cloud Functions - Experience in building large-scale ETL/ELT pipelines and optimizing query performance on cloud platforms.
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals. Requirements
- Solid understanding of data modeling, partitioning, and schema design for analytical workloads. - Familiarity with CI/CD practices, Terraform, and version control (e.g., Git). - Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
Your next step
Complete your application on apply.workable.com. The employer’s form will show what is required.
Applying through Workable
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Already applied? Track this application
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.
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
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals.
Requirements
- 5+ years of experience in data engineering, with at least 3+ years working extensively on GCP.
- Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting.
- Proven experience with GCP services such as: BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Cloud Functions
- Experience in building large-scale ETL/ELT pipelines and optimizing query performance on cloud platforms.
- Solid understanding of data modeling, partitioning, and schema design for analytical workloads.
- Familiarity with CI/CD practices, Terraform, and version control (e.g., Git).
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Disclaimer
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Phoenix, Arizona, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.