Data Engineer

About Burq Burq started with an ambitious mission: to turn the complex process of offering delivery into a simple, turnkey solution. It’s a big mission, and now we want you to join us in making it even bigger. 🚀 We’re proud to be recognized as one of Fast Company’s Best Workplaces for Innovators and a 2025 Inc. Magazine Power Partner , awards that highlight how we’re redefining the future of logistics while empowering our partners to grow. Backed by leading Silicon Valley investors like Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely, we’ve built a world-class team across the globe. We operate at scale but remain small enough for every person to have a massive impact. There’s a lot of important work ahead, and joining Burq means the opportunity to grow faster than ever while doing the most meaningful work of your career. Here’s a quick overview of what you will be doing: The Role As one of our first Data Engineers, you'll sit at the intersection of data infrastructure and business intelligence. This role is analytics-first — roughly 70% of your time will be turning data into insights that directly shape how Burq operates and grows. The remaining 30% is keeping the pipelines and data infrastructure that power those insights reliable, scalable, and clean. You'll work closely with product, operations, and leadership to answer hard questions: Where are delivery failures clustering? Which providers perform best in which markets? Where are we leaving margin on the table? You won't just surface numbers — you'll frame the problem, build the view, and drive the recommendation. This is a mid-level role with a clear path to full ownership. You'll be growing into infrastructure decisions and AI/ML-adjacent work as our data platform matures — if that trajectory excites you, this is the right seat. Key Responsibilities: Analytics & insights (primary) Build and own dashboards and reports in Looker or similar BI tools that track KPIs across delivery performance, provider reliability, and customer experience Analyze operational data to surface trends, anomalies, and opportunities — and translate them into concrete recommendations for product and ops leadership Partner with operations, product, and the founders to frame data questions and design the right models to answer them Become the go-to person for delivery metrics — you'll know the numbers better than anyone Data engineering (supporting) Design and maintain ETL/ELT pipelines that ingest data from internal systems, third-party APIs, and provider feeds Contribute to our data warehouse architecture (Snowflake) using a medallion/layered modeling approach Implement data quality monitoring, validation, and governance so the analytics layer stays trustworthy Help architect solutions that scale cleanly as delivery volume and data complexity grow

Required 3–5 years of experience in data analytics, analytics engineering, or a hybrid analytics/data engineering role Strong SQL — you write complex queries fluently and think in sets Proficiency in Python for data transformation and analysis Hands-on experience with a cloud data warehouse — Snowflake preferred, BigQuery or Redshift also fine Experience building BI dashboards in Looker, Tableau, Power BI, or equivalent Comfortable with workflow orchestration tools (Airflow, Dagster, or Prefect) Builder mentality Nice to have Experience at a startup or high-growth logistics / marketplace company Familiarity with dbt or similar transformation frameworks Exposure to data streaming (Kafka, Kinesis) or real-time pipelines Interest in ML/AI applications — we're actively building on AWS Bedrock and see this role as a future feeder into that work

Investing in you 🙏 Competitive salary Medical Educational courses Generous Time Off 🏝 At Burq, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.