Senior Data Engineer + Platform Engineer (GCP)

Hartford, Connecticut, United States

Open 6 months, first seen by us 185 days ago

Pay: Pay not listedSimilar roles state $127K–$190K
Work setting: Hybrid — work setting source
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.
Read the full 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 posting

Build scalable ELT/ETL pipelines on Google Cloud
Design data models and implement real-time processing with Pub/Sub
Manage security (IAM) and automate infrastructure with Terraform
Provision GCP resources
Deploy GCP services and microservices

From the employer’s posting

building scalable ELT/ETL pipelines

designing data models, implementing real-time processing (Pub/Sub)

managing security (IAM), and automating infrastructure (Terraform)

Provisioning the GCP Resources

Experience with GCP Services deployments

Tools in this posting

Python
SQL
BigQuery
Docker
GCP
Kubernetes
Terraform

Source

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

· 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)

· Provisioning the GCP Resources · Containerization & Orchestration: Docker and Google Kubernetes Engine (GKE) · GCP DevOps experience: Cloud Build, Cloud Deploy

· 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.

· 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

· 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

· 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

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, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibilities.

From the employer’s posting.

Check the employer’s page ↗

Posting record

Report an error

Open 6 monthsWe first saw this posting 185 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: May 11, 2026185 days ago
Recorded sightings: 338
Last seen by us: Nov 12, 2026
Employer says posted: Apr 21, 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

$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.

Time since we first saw it

Day 185

Up longer than most. Similar jobs usually come down between day 6 and day 56.

Well past Tiger Analytics’s usual: its jobs come down by about day 68.

From 13,355 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

Hiring record

Your next step

Check the employer’s posting for the current role and application details.

Applying through Workable

No account needed. You can import your resume to fill in the form, or skip that and fill it in yourself.

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.

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 ↗

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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: No pay amount identified in the saved description.
Location & working pattern: Hartford, Connecticut, United States
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
More source context
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.
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at apply.workable.com ↗Read the full description ↓

AI answers unavailable

We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting