Data Engineer

At MFour, we’re transforming how businesses understand consumers in an increasingly complex, AI-driven world. Founded in 2011, we are a leading consumer intelligence platform delivering validated, connected, and opt‑in data that powers smarter, faster decision‑making.

What sets us apart is our ability to connect what consumers say with what they actually do. Through our proprietary platform, MFour Studio™ and our flagship app Surveys On The Go®, we combine survey data with real‑world behaviors, creating a complete, accurate view of the consumer journey.

We’re also shaping the future of research through innovations like DANI™, our AI‑powered assistant that enables teams to quickly analyze data, uncover insights, and take action with confidence.

Built on our Fair Trade Data® model, everything we do is grounded in transparency, privacy, and trust. Today, we partner with leading global brands like Google, Microsoft, and Disney to eliminate blind spots and drive better business decisions.

At our core, we believe better data leads to better outcomes!

MFour is seeking a Senior Data Engineer to own the technical core of our competitive moat: the multi‑source consumer‑data pipeline that powers everything DANI and Studio do. You will be responsible for ingesting, cleaning, and unifying behavioral data across all of our data streams into a single, reliable identity graph. This is not a supporting role — this is the data infrastructure that every AI query, every survey fulfillment, and every research deliverable depends on.

If the pipeline is wrong, the product is wrong. You own it.

Why this role matters

• Own MFour's consumer‑data pipeline – the core engine behind insights hundreds of leading brands rely on.
• Solve a genuinely hard problem: unifying real‑time app, web, purchase, ChatGPT, and foot‑traffic data into one coherent identity graph.
• Sit at the center of the platform – your pipeline feeds DANI's AI query layer and every customer‑facing product.
• Build something that compounds: every improvement makes DANI smarter and every downstream team faster.
• Work directly alongside the Principal Platform Engineer and across all product teams.
• Own the end‑to‑end, multi‑source pipeline: ingest, transformation, cleaning, and delivery.
• Enforce data‑quality standards at ingest – catch schema drift, anomalies, and source failures before they hit downstream systems.
• Keep the pipeline fast, scalable, and reliable for a live AI query layer, owning SLAs when upstream sources change.

• Own the identity‑resolution system that merges behavioral signals into a clean, deduplicated identity graph – the foundation DANI queries against.
• Build and refine entity‑matching, dedup, and merge logic that resolves conflicting signals, with clear confidence rules.
• Partner with the Principal Platform Engineer to optimize data structures and access patterns for DANI – low‑latency, high‑fidelity, queryable.
• Provide freshness and availability guarantees for Survey and Research fulfillment, backed by defined data contracts.
• Build monitoring and alerting across the pipeline (freshness, volume anomalies, schema violations, identity drift) so issues surface in minutes, not days.
• Own root‑cause analysis for incidents – trace failures to the source, document the fix, and harden against recurrence.
• Proactively retire technical debt before it becomes a risk.

• Enforce data‑handling practices that keep behavioral data compliant with MFour's privacy commitments and applicable regulations.
• Maintain clear data lineage and retention policies that satisfy internal audits and enterprise‑client trust.

• Deliver data to Survey and Research fulfillment teams that is available, correctly structured, and on time – with clear ownership when it's not.
• Partner with the Product Pod to surface data constraints that shape what DANI can confidently answer.
• Document architecture, data contracts, and known failure modes so system knowledge isn't trapped in one person's head.

• 5+ years of data engineering experience with clear ownership of production pipelines – not just…