GCP Data Engineer
Tiger Analytics Inc. Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at Tiger Analytics Inc. Phoenix · full-time · no salary stated · we estimate $112,500–$160,000 across the United States.
Tiger Analytics Inc. has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build large ETL and ELT workflows and analytical designs using GCP
- Assess and plan enterprise migration efforts spanning data, applications and cloud platforms
- Help clients update legacy systems and move toward scalable, cloud-native architectures
- Improve cloud query speed and shape analytical data through modeling, partitioning and schema design
What you bring
- At least five years in data engineering, including three or more focused on GCP
- Strong SQL and data-processing skills in Python, Java or Scala
- Hands-on use of GCP services such as BigQuery, Dataflow or another listed service
- A bachelor's or master's degree in computer science, engineering, information systems or a related area
Who this fits
This mid-level role suits a data engineer experienced with GCP pipelines and enterprise cloud migrations. The position is onsite in Phoenix.
From the employer
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.
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