Data Engineer

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

📋 Description

• Design, construct, and take ownership of custom data pipelines from source systems to the data warehouse

• Integrate complex or inadequately documented APIs

• Create and manage Airflow DAGs for both scheduled and event-triggered workflows

• Develop dbt models along with a governed semantic layer for analysts, internal tools, and AI agents

• Create reusable patterns for incremental synchronization, retries, replay, backfills, and event processing

• Establish monitoring, quality assurance checks, and reconciliation processes

• Diagnose and address production incidents involving missing, delayed, duplicated, or erroneous data

• Collaborate with Finance, Operations, Growth, and Technology teams to transform ambiguous requests into robust data products

• Utilize AI coding agents to expedite implementation, testing, and debugging while ensuring accountability for architecture, accuracy, and quality

• Document architectural choices, system ownership, and recovery procedures

⛳️ Requirements

• A minimum of 3 years in data engineering, analytics engineering, or a closely related engineering position

• Proficient in production-quality Python and advanced SQL

• Experience in designing, building, and managing Airflow workflows for custom data pipelines

• Strong fundamentals in dbt and dimensional modeling

• Proven experience in developing custom integrations with third-party APIs, webhooks, files, or event streams

• Extensive knowledge of API ingestion, including authentication, pagination, rate limits, incremental synchronization, retries, and historical backfills

• Responsible for at least one business-critical pipeline from design to production support

• Familiarity with monitoring, alerting, logging, reconciliation, CI/CD, and runbooks

• Background in a high-growth environment, preferably DTC or subscription-based

• Broad, hands-on experience across the entire data stack

• Proficient in using AI coding agents for implementation, testing, debugging, refactoring, and review

• Experience with BigQuery, GCP, and Cloud Composer is advantageous

🏝️ Benefits

• Bonus

• Comprehensive benefits package

• Strong benefits coverage for you and your family

• Generous paid time off (PTO)

• Free Grüns

• Wellness and health-and-well-being perks

• Fully remote work environment

• Biannual off-sites

• Career growth opportunities