Remote Data Engineer & BI Lead: End-to-End Analytics

This is a fast-growing, U.S.-based company that has made a real, hands-on investment in using data and AI to run the business better — not as a buzzword, but as how decisions actually get made day to day. Right now, their data doesn't have a single owner. That's where you come in.

About the Role

This is a rare "build it and own it" seat: a blended Data Engineering + Business Intelligence role where you'll take end-to-end ownership of the data function — from the pipelines and cloud infrastructure underneath it, to the dashboards and insights leadership uses to make decisions.

Responsibilities

• Own the data pipelines and cloud infrastructure, built on Google Cloud Platform (BigQuery at the core, plus supporting serverless and automation services)
• Write and maintain Python-based ETL processes that move, transform, and load data across multiple sources
• Build new pipelines, bring new data sources into the warehouse, and automate recurring workflows
• Monitor, troubleshoot, and resolve data pipeline issues to keep data flowing cleanly between systems
• Maintain data quality and organization across the analytics environment
• Own dashboard and reporting strategy in Tableau, working directly with stakeholders across the business — finance, sales, operations, and more
• Translate business questions into clear, decision-ready dashboards — then maintain and evolve them over time
• Manage data connections, SQL logic, refresh schedules, and QC on all reporting
• Troubleshoot reporting issues and make sure every dashboard reflects the true underlying data
• Help leadership actually understand what the data is telling them, not just look at it
• Bring real, hands-on AI fluency to the role — this team uses AI tools daily and is actively building a data environment that leans on automation and AI assistance instead of manual coding wherever possible
• Partner cross-functionally as the go-to person for "what does the data say"
• Join a growing Operations organization with a clear, direct reporting line into senior leadership

Qualifications

• 7+ years of experience in Business Intelligence, Analytics Engineering, Data Engineering, or a similar hybrid role
• Strong, hands-on experience with Google Cloud Platform, specifically BigQuery
• Strong Python experience, specifically for building and maintaining ETL/data pipelines
• Strong Tableau experience — building dashboards from the ground up, not just editing existing ones
• Proven experience owning or maintaining a data/reporting environment end-to-end
• Experience troubleshooting data pipeline and reporting issues independently
• Solid understanding of how data moves and transforms across systems
• Genuine, active use of AI tools in your day-to-day data/BI workflow — this team is deep into AI adoption and looking for someone who already thinks this way
• Ability to work with solid overlap with core U.S. Eastern business hours during the initial onboarding period

Pay range and compensation package

$4,000–$6,500 USD/month, based on experience — this is a long-term, full-time engagement, not a short-term project.

Schedule: Monday–Friday, with solid overlap with core U.S. Eastern business hours expected during the initial onboarding/ramp period; more schedule flexibility once you're fully ramped.

Fully remote — work from home.

Genuine ownership: you're not inheriting someone else's system, you're building and owning the data function from here forward.

Join a company that's leaning hard into AI as a working culture, not a buzzword — real budget and real appetite for tools that make data work smarter.

Backed by a growing, well-established U.S. company with real momentum and staying power.

Equal Opportunity Statement

A background check is required for this role. This is a fully remote position open to candidates based in Latin America or the Philippines as listed above — it is not open to candidates outside these regions, and this listing does not apply to any other location unless explicitly stated. Visa sponsorship is not available for this position.