Sr Data Engineer + Platform Engineer (GCP)
Tiger Analytics Inc. Open · verified Oct 24, 2026 At a glance
Senior Platform & Infrastructure role at Tiger Analytics Inc. Hartford · full-time · no salary stated · we estimate $146,057–$210,000 across the United States.
Tiger Analytics Inc. has not published a salary for this role. The figure below is our estimate, not theirs.
devopsroles summary, based on the employer's posting.
What you'll do
- Build scalable ELT and ETL pipelines with SQL, Python, BigQuery, Dataflow and Cloud Storage
- Design data models and set up real-time data processing with Pub/Sub
- Provision GCP resources and automate infrastructure using Terraform
- Deploy services and applications with Cloud Run, Cloud Scheduler and GCP deployment tools
- Containerize workloads with Docker and manage orchestration through Google Kubernetes Engine
What you bring
- Strong Python skills and proficiency in SQL and core Google Cloud services
- Hands-on experience with GCP data services, including transfer tools, Pub/Sub and Composer
- Experience with IAM security, Terraform, microservices and database setup such as AlloyDB or Vertex DB
- GCP DevOps experience using Cloud Build and Cloud Deploy
Who this fits
This senior role suits someone who combines data engineering with GCP platform work, including pipeline development, infrastructure provisioning and deployments. It is a hybrid position in Hartford, with three to four onsite days each week.
From the employer
Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
If you are passionate about solving business problems that can be solved using systems thinking, AI engineering and data driven Insights, Tiger Analytics would like to talk to you. Now hiring for multiple roles across solution architecture, consulting and forward deployed engineering teams
Requirements
Please note this is a Hybrid role with 3-4 days a week onsite.
· Proficiency in SQL, Python, and core Google Cloud services (BigQuery, Dataflow, and Cloud Storage) for building scalable ELT/ETL pipelines.
· Experience with GCP Data Transfer service, Cloud Transfer Servie, Pub/Sub, Cloud Data Flow, Cloud Data Proc, Cloud Data Prep, Cloud Composer etc
· Strong in Python.
· Key skills include designing data models, implementing real-time processing (Pub/Sub), managing security (IAM), and automating infrastructure (Terraform)
· Experience in, Alloy DB Setup, Vertex DB setup, Microservices, Terraform, Cloud Run, Cloud Scheduler
· Experience with GCP Services deployments, Alloy DB Setup, Vertex DB setup, Microservices, Terraform, Cloud Run, Cloud Scheduler
· Provisioning the GCP Resources
· Containerization & Orchestration: Docker and Google Kubernetes Engine (GKE)
· GCP DevOps experience: Cloud Build, Cloud Deploy
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibilities.
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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