GCP Data Engineer
Phoenix, Arizona, United States
- 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
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
Tools in this posting
- Java
- Python
- Scala
- SQL
- BigQuery
- GCP
- Terraform
- Airflow
Source — Tool mentions in context
- 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.
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 3 monthsWe first saw this posting 109 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, 2026 · 109 days ago
- Recorded sightings
- 199
- Last seen by us
- Oct 29, 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.
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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
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- Location & working pattern
Phoenix, Arizona, United States
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- Work authorization
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