Senior Data Platform Engineer — AI-Ready Infra Lead

Jobgether; United States; On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Equity Incentive Plan

Healthcare coverage

401(k) retirement plan with employer 


Life insurance

Family leave

Work-from-home stipend

Wellness stipend

Job summary

Jobgether is seeking a Senior Data Platform Engineer based in the United States to own the data platform architecture and deliver trusted data across products. You will build, secure, and optimize data pipelines powering reporting, analytics, and AI features for thousands of gym businesses.

You will work with Data, Analytics, and R&D teams to define contracts, ensure data freshness, and support AI-enabled workflows while keeping governance and cost visibility in focus.

Qualifications

• 5+ years in data engineering or data platform ownership of production systems.
• Experience with cloud data warehouses, RBAC, data masking, and schema design.
• Proficient in Python and SQL with solid software engineering practices.
• Experience with CI/CD and Terraform.
• Hands-on with Airflow or Dagster in production.
• Experience with data ingestion tools like Hevo or Fivetran.

Responsibilities

• Own design, development, and improvement of the data platform.
• Ensure data is accurate, accessible, secure, and cost-effective.
• Build data pipelines for reporting and data-driven products.
• Establish data contracts and monitor data freshness.
• Collaborate with Data, Analytics, and R&D teams.
• Develop documentation and runbooks.

Skills

Python

SQL

Data platform engineering

CI/CD

Terraform

Airflow

Dagster

Data governance

AI-enabled workflows

Tools

Airflow

Dagster

Fivetran

Hevo

ClickHouse

Job description

Jobgether is seeking a Senior Data Platform Engineer based in the United States to own the data platform architecture and deliver trusted data across products. You will build, secure, and optimize data pipelines powering reporting, analytics, and AI features for thousands of gym businesses.

You will work with Data, Analytics, and R&D teams to define contracts, ensure data freshness, and support AI-enabled workflows while keeping governance and cost visibility in focus.