Remote Senior Data Engineer – Feature Store & Pipelines

تابي; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote setup

Stock options (ESOP)

Up to 20% tax allowance

22 paid leave days annually

Flexi benefits for wellness, travel,或r

Job summary

Tabby invites a Senior Data Engineer to join the Data Platform & ML team in a fully remote capacity. You will help build internal data services, including a Feature Store, and own scalable data pipelines.

You will work with Python, SQL, and modern data tools on Google Cloud Platform, contributing to high-load systems and data storage architectures while collaborating with an international engineering team.

Qualifications

• 3–5 years of experience as Data Engineer, ML Engineer, or Backend Engineer.
• Experience in developing high-load and scalable data processing and storage systems.
• Good knowledge and background in event-driven systems and streaming pipelines.
• Python + best practices for Python.
• SQL + best practices for SQL.
• System design best practices.
• Familiar with tech stack as Airflow, Debezium, BigQuery / ClickHouse, PostgreSQL / CockroachDB, Docker, GitLab(CI/CD), GCP.
• REST API / GRPC API / Message brokers & Queues.

Responsibilities

• Development Features store and other future data services.
• Development EL / ELT / ETL pipelines.
• Integration new tools for data processing and data storing.

Skills

Data engineering

Python

SQL

ETL/ELT pipelines

Airflow

BigQuery/ClickHouse

GCP

Docker

REST/GRPC

Go

Tools

Airflow

Debezium

BigQuery

ClickHouse

PostgreSQL

CockroachDB

Docker

GitLab CI/CD

GCP

Job description

Tabby invites a Senior Data Engineer to join the Data Platform & ML team in a fully remote capacity. You will help build internal data services, including a Feature Store, and own scalable data pipelines.

You will work with Python, SQL, and modern data tools on Google Cloud Platform, contributing to high-load systems and data storage architectures while collaborating with an international engineering team.