Senior Data Engineer

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Utilize the comprehensive capabilities of GCP, DBT, Airflow, and various data pipeline products to convert diverse and disparate data sources into efficient, resilient, precise, and comprehensible datasets, which will be provided to Business Intelligence and subsequent data products.

• Design, develop, and take ownership of data pipelines and models that drive internal analytics for product and business teams.

• Lead the collection of new data and refine existing data sources, while fostering relationships with production engineering teams to manage our data structures as products evolve.

• Enhance our data visualization tools and platform to empower the team in creating dynamic tools and reports.

• Contribute to the long-term architecture of Peek's AI data serving layer — focusing on feature engineering patterns, online/offline feature consistency, and foundational feature store architecture.

• Exhibit strong interpersonal communication skills. Collaborate to find solutions. We prioritize team success over individual accomplishments and appreciate those who can pose challenging questions, present innovative solutions, and are open to compromise when tackling complex problems under tight deadlines.

• Stay well-organized and self-motivated. Adapt to a fast-paced environment where teams are expanding, and priorities may shift quarterly as we enter new markets.

• Promote self-care while managing a substantial workload. We encourage you to present your best self and to voice your needs to remain healthy and engaged.

⛳️ Requirements

• A minimum of 4 years of experience in a data engineering role, emphasizing the development of data pipelines and modeling.

• At least 2 years of direct experience with DBT and/or BigQuery.

• Proficiency in relational databases (Postgres) and SQL.

• Proficiency in data warehouses (BigQuery).

• Experience with Python programming.

• Familiarity with ETL tools and techniques (Airbyte, DBT, Airflow, Pulumi, etc.).

• Understanding of modern AI data infrastructure concepts — including embedding pipelines, vector search, and retrieval-augmented generation (RAG) patterns.

• Experience with reporting tools is a plus (Looker).

• Fluency in English is required, as it is the primary language of business communication.

• Comfortable working in a remote setting. We operate 100% remotely and depend on Slack, email, Signal, and Zoom for communication.

🏝️ Benefits

• Offers Equity