Staff Data Engineer: Build AI-Ready Data Platform (Remote)

Zekai; United States; Remoto; USD 200.000 - 260.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity compensation

Remote-first

Performance-based bonuses

Health insurance reimbursement

Descrizione del lavoro

Zekai is seeking a Staff‑level Data Engineering leader to own the architecture and delivery of our data warehouse, ingestion pipelines, and product analytics foundations. This remote, full‑time role emphasizes building reliable data systems for AI-native workflows and scalable analytics across the company.

You will mentor engineers, drive data quality and observability, and design end‑to‑end pipelines from zero to production while balancing performance and velocity in a globally distributed team.

Competenze

• Staff-level data engineering experience building production data platforms.
• Greenfield data platform design from scratch and hands-on implementation.
• Deep understanding of data warehouses, ETL/ELT, data modeling, orchestration, and distributed processing.
• Proficiency in SQL and Python with strong software engineering fundamentals.
• Experience with Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow or Dagster.

Mansioni

• Architect and implement the internal data warehouse, ingestion infra, ETL/ELT pipelines, and core data models.
• Design datasets and interfaces for AI agents to safely discover, query, and use.
• Transform fragmented data into trustworthy sources of truth.
• Build self-service analytics infrastructure for cross-team independence.
• Establish event tracking, instrumentation, data models, and reporting foundations for product usage.
• Leverage AI coding agents to accelerate pipeline development, data validation, and monitoring.
• Enforce data quality, observability, governance, and scalable architectural patterns.
• Mentor engineers and lead architectural decisions through hands-on execution.

Conoscenze

SQL

Python

Data modeling

ETL/ELT

Data warehousing

Strumenti

Snowflake

BigQuery

Redshift

Databricks

dbt

Airflow

Dagster

Descrizione del lavoro

Zekai is seeking a Staff‑level Data Engineering leader to own the architecture and delivery of our data warehouse, ingestion pipelines, and product analytics foundations. This remote, full‑time role emphasizes building reliable data systems for AI-native workflows and scalable analytics across the company.

You will mentor engineers, drive data quality and observability, and design end‑to‑end pipelines from zero to production while balancing performance and velocity in a globally distributed team.