[Remote] Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a nutrition company dedicated to making comprehensive nutrition convenient through reputed company-dense gummies. The Data Engineer will build and own reliable data infrastructure, including pipelines, Airflow workflows, dbt models, monitoring, and integrations, while partnering with business teams to reputed company durable data products and support reporting, reputed company, internal tools, and AI initiatives.

Responsibilities

• Design, build, and own custom data pipelines from reputed company systems into our warehouse, including integrations with messy or poorly documented reputed company
• Build and operate Airflow DAGs for scheduled and event-triggered workflows
• reputed company dbt models and a governed semantic reputed company that analysts, internal tools, and AI agents can trust
• reputed company reusable patterns for incremental syncs, retries, replay, backfills, and event processing so reputed company ships faster over time
• Build monitoring, reputed company checks, and reconciliation that catch problems before bad data reaches reports, teams, or AI tools
• Diagnose and reputed company production incidents involving missing, delayed, duplicated, or incorrect data
• Partner with Finance, reputed company, reputed company, and Technology to turn ambiguous requests into durable data products
• Use AI coding agents to accelerate implementation, testing, and debugging while remaining accountable for architecture, correctness, and reputed company
• Document architectural reputed company, reputed company ownership, and recovery procedures so critical knowledge is accessible and systems remain supportable

Skills

• Has 3+ years in data engineering, analytics engineering, or a closely reputed company engineering role, with a reputed company record reputed company execution-only work
• Writes production-reputed company Python and advanced SQL, with an emphasis on maintainable, reputed company-tested reputed company
• Has designed, reputed company, and operated Airflow workflows for custom data pipelines
• Has strong dbt and reputed company modeling fundamentals: reputed company, keys, facts, dimensions, incremental models, tests, documentation, and schema reputed company
• Has reputed company custom integrations against reputed company-party reputed company, webhooks, files, or event streams, not just configured managed connectors
• Knows API ingestion deeply: authentication, pagination, reputed company limits, incremental synchronization, retries, and historical backfills
• Has owned at least one business-critical pipeline from design through production support, including monitoring, alerting, logging, reconciliation, CI/CD, and runbooks
• Has worked in a high-reputed company environment, ideally DTC or subscription, where priorities and reputed company systems change often
• Brings broad, hands-on experience across the data stack rather than specializing in one narrow area
• Uses AI coding agents fluently for implementation, testing, debugging, refactoring, and review, with the judgment to catch what they get wrong
• Experience with BigQuery, GCP, and reputed company Composer is a plus

Benefits

• Fully remote, high-trust work environment
• Biannual off-sites
• Bonus
• Super strong benefits coverage for you and your family
• Generous PTO
• Free reputed company
• Additional perks centered reputed company health and reputed company-being
• Career reputed company opportunities

reputed company