Afresh
Senior Staff Data Engineer
United States · Staff+ · Full-time
Sponsorship not specified$191k-$287kDetected 35 days ago
PythonGitDatabricksMachine LearningAirflowdbtData EngineeringSupply ChainUnity
About the role
- Afresh's customer base is growing fast, and the bar for what our data foundations need to do is rising with it.
- Beyond shipping, you'll define the architecture, abstractions, and tooling that make every future integration faster and more reliable - and you'll raise the engineering bar for everyone around you.
- This is a hands-on, high-ownership role.
Responsibilities
- Architect and build core data systems and pipelines that power Afresh products, owning reliability and quality from raw data through to production.
- Take on our most ambiguous, high-leverage data problems and drive them to a shipped solution - without waiting for a detailed spec.
- Drive data quality and pipeline reliability - invest in better alerting, self-healing patterns, and resilience to messy or incomplete real-world customer data.
- Collaborate deeply with Product, ML, Solutions Engineering, and customer-facing teams to scope work, unblock dependencies, and make sure what we build meets real customer needs.
- Extensive experience (typically 8+ years) building data engineering systems, with a track record of operating at a staff or principal level.
- Proven ability to own ambiguous, end-to-end problems and set technical direction in a fast-moving environment with no established playbook.
Nice to have
- Experience in grocery, retail, or supply chain data domains.
- Prior experience at a high-growth startup navigating rapid customer expansion.
- A history of acting as a technical leader who sets direction across multiple teams or projects.
- Python, PySpark, dbt
- Databricks (Delta Lake, Unity Catalog)
- Astronomer (Airflow) for orchestration
- Claude, GitHub, Shortcut, Notion for development workflows
- This position is not eligible for company sponsorship.
Compensation
- Salary Range in U.S.: $191,000- $287,000
Benefits
- You've experimented with AI coding tools, agentic workflows, or similar, and have a vision for how they can transform data engineering.
- Comprehensive medical, dental, and vision coverage for you and your family, with the majority of premiums covered by Afresh.
- We also provide dedicated mental health support and counseling services.
- Competitive base salary, meaningful equity (U.S. employees), and a 401(k) program with a generous company match.
- Whether you work from home or a local office, we support your setup with a home office stipend and "Coworking Wallets" for flexible workspace access.
- Beyond your paycheck, we provide monthly stipends for "Betterment" (wellness/lifestyle) and telecommunications to ensure you have what you need to thrive.
- Full-time U.S. employees are eligible for these benefits
Company info
- We believe in continuous learning.
- Every employee receives an annual professional development budget to master new skills and grow their career at Afresh.
- Comfort working with messy, real-world data from enterprise customers, and the pragmatism to ship solutions that work without over-engineering.
Visa & Work Authorization
- This position is not eligible for company sponsorship.
This listing is sourced directly from Afresh's careers page and normalized into a canonical job model.