Sr / Staff Data Engineer

Orderful — the fastest way to trade EDI · ~100 employees · $85M raised

Remote — United States, CanadaFull-time · Remote$190K – $225K (up to $260K+ for Staff or S-tier startup experience)

About the role

Orderful is looking for a Senior or Staff Data Engineer to join as the second data hire and help own and drive the entire data function. You'll partner directly with the current data lead to build data products, extend a modern platform, and tackle both zero-to-one and scaling challenges across infrastructure, modeling, and customer-facing analytics.

This role demands a full-stack data engineer who thrives in ambiguity, can independently discover the highest-leverage problems, and has the systems thinking to design platforms others build on top of. If you're energized by messy, real-world data and want the autonomy to shape a data practice from the ground up — this is it.

Orderful is a ~100-person company backed by Andreessen Horowitz, GLP Capital Partners, NewRoad Capital Partners, and Initialized Capital, fully remote across the US and Canada.

Remote — US or Canada. No visa sponsorship (US citizens/Green Card holders); Canadian work authorization also accepted.

What you will own

Own significant portions of the data function end-to-end — from infrastructure and pipeline design through to stakeholder-facing analytics and governance
Build and extend an agentic semantic layer, event-driven data products, and customer-facing analytics where the data itself is the feature
Design and operate data infrastructure on AWS, Snowflake, and Databricks — including being on call and ensuring production reliability
Drive zero-to-one initiatives across streaming, data governance, and knowledge management while keeping day-to-day data requests under control
Evaluate and select best-in-class tools and technologies, keeping the platform flexible as the landscape evolves with AI

Requirements

Must have5+ years of experience building and operating data platforms

Must haveExperience building data pipelines as distributed systems

Must haveProduction experience with a transformation framework (dbt or equivalent)

Must haveProduction experience with a cloud warehouse (Snowflake, Databricks, BigQuery)

Must haveBuilt customer-facing or embedded analytics products

Must haveExperience at a VC-backed startup or fast-moving, reputable company — if coming from FAANG, must have clear zero-to-one infrastructure experience

Must haveHands-on cloud infrastructure experience (AWS preferred), including on-call, incident response, and infra-as-code

Must haveLocated and authorized to work in the US or Canada

Nice to haveExperience at a startup that actually scaled and has metrics to prove it grew exponentially

Nice to haveTechnical degree (e.g., CS, Math, Physics)

Nice to haveExperience with streaming or event-driven architectures (e.g., Kafka, Kinesis)

Not a fitNo indication of true ownership or 0-to-1 deployment in resume — rejected immediately

Not a fitContractors or consultants

We interview honestly against this list — if you meet most of the “Must have” rows, apply.

Compensation

Remote — United States, Canada

Location

Full-time · Remote

Employment

$190K – $225K (up to $260K+ for Staff or S-tier startup experience)

Compensation

Equity included

Equity

Role details

LocationRemote — United States, Canada

EmploymentFull-time · Remote

Compensation$190K – $225K (up to $260K+ for Staff or S-tier startup experience)

EquityEquity included

DepartmentEngineering

VisaNot open to any visas — US citizen or Green Card holder; Canada work authorization accepted

Vikki

Your recruiter for this role

Not sure you tick every box? Reach out before you apply — happy to tell you what actually matters here.

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