Senior Data Engineer

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

📋 Description

• Design, construct, and sustain infrastructure that reliably moves and transforms marketplace data at scale.

• Take ownership of the analytical schema within the data warehouse for internal analytics, aggregated analytics, and reporting for customers.

• Establish and uphold data quality standards, including monitoring and testing throughout the stack.

• Make architectural choices, document trade-offs, and develop data infrastructure to support AI/ML product applications.

• Contribute code related to pipeline logic, SQL, and data modeling.

• Conduct code reviews and enhance engineering patterns and practices.

• Troubleshoot and resolve data issues while driving initiatives for root-cause prevention.

• Share support responsibilities and ensure reliability across the data platform.

• Oversee data systems and roadmap themes from design to production and iteration.

• Collaborate with Product, Data, and Engineering teams to facilitate reliable decision-making.

• Identify and advocate for investments in data infrastructure.

• Engage in architecture discussions and Engineering reflections.

⛳️ Requirements

• 5–8+ years of experience in data engineering, preferably within a B2B SaaS, marketplace, or data products organization.

• Extensive hands-on expertise across the modern data stack, including pipeline tools (Estuary), workflow orchestration (Astronomer Airflow), transformations (dbt), and BI tools with semantic layers (Holistics).

• Strong foundational skills in SQL and data modeling.

• Experience managing data quality from end-to-end, including testing and observability frameworks, infrastructure, and tools.

• Effectively integrate AI into development workflows.

• Demonstrated ability to take responsibility for systems and themes, beyond just individual tasks or projects.

• Capability to collaborate across functions with data analysts, product engineers, and non-technical stakeholders.

• Notable experience includes marketplace or transaction-platform data, applied AI/ML pipeline work, customer-facing analytics products, knowledge of the food and beverage or CPG domains, and integrating LLM tools into data workflows.

• Candidates must be authorized to work in the United States.

• Visa sponsorship is not available.

• Final-round candidates will undergo a background check.

🏝️ Benefits

• Remote-first work environment, with co-working access available for local employees in BOS, NYC, & DEN.

• Competitive salary along with stock option packages.

• Subsidized health, dental, and vision insurance plans.

• Climate-focused pre-tax 401(k) and post-tax Roth 401(k) options.

• 12-16 weeks of paid parental leave with flexible return to work options.

• 15+ company holidays, including an "End of Year Reset Week".

• 20 vacation days and 10 sick days per year.

• Focus Fridays with no meetings scheduled after 1PM local time.

• Summer Fridays providing a half-day off.

• Paid volunteer outings and civic engagement leave.

• Annual flexible funds for remote work needs, learning & development, and social activities with colleagues.

• Company-sponsored $500 FSA contribution.