Senior Data Platform Engineer - End-to-End Data & Ingestion

Unknown; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Visa sponsorship not available

Job summary

Unknown is building a data platform that ingests data from multiple sources to power trusted analytics. You will own the data platform end to end, from architecture and ingestion through production operations.

The team moves quickly like a startup, emphasizing broad ownership and adaptable data pipelines using Python, SQL, Airflow, dbt, and GCP. Collaboration with downstream products is essential.

Qualifications

• 5-10+ years of production experience with multi-source data platforms.
• Strong Python, SQL, PostgreSQL, Airflow, dbt, and GCP skills.
• Experience with event-driven systems, messaging, and LLM-based extraction.

Responsibilities

• Own the data platform end to end, from architecture and ingestion through production operations.
• Build multi-source data ingestion and orchestration with Airflow, Dagster, or Prefect.
• Ingest data from APIs, webhooks, files, and web scraping with robust handling.

Skills

Python

SQL

PostgreSQL

Airflow

dbt

GCP

LLM extraction

Tools

Airflow

Dagster

Prefect

Job description

Unknown is building a data platform that ingests data from multiple sources to power trusted analytics. You will own the data platform end to end, from architecture and ingestion through production operations.

The team moves quickly like a startup, emphasizing broad ownership and adaptable data pipelines using Python, SQL, Airflow, dbt, and GCP. Collaboration with downstream products is essential.