Principal Data Engineer – Product Data

🔥 6 hours ago

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Everway

WebsiteLinkedInAll Job Openings

201 - 500 employees

📚 Education

☁️ SaaS

Education • Accessibility • SaaS

Everway is a technology company that specializes in creating innovative tools designed to enhance learning and accessibility in both educational and workplace settings. With a focus on understanding and empowering individuals with diverse learning needs, their products support literacy, math accessibility, and inclusive learning experiences. Formerly known as n2y and Texthelp, Everway aims to break down barriers and promote neuroinclusion, ensuring that everyone has the opportunity to thrive in their educational and professional environments.

📋 Description

• Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics, and the wider business • Lead the hard problems in the domain — event schema governance across multiple products, identity resolution and sessionisation, high-volume event pipelines, and modelling the path from product usage to engagement and learner outcomes • Define and evolve engineering standards — dbt patterns, event ingestion patterns, data contracts, testing, observability — and contribute to cross-cutting standards across the wider data function • Own data quality and contracts for the data products you ship — implementing quality checks, maintaining contracts as the interface between producers and consumers, and ensuring issues are caught early and remediated cleanly • Raise the technical bar around you — through code review, design input, pairing, and the kind of senior IC presence that lifts the engineers and analysts you work with • Translate operational complexity — multiple product event sources, schema drift, ongoing integration of acquired products — into clean, durable engineering execution the business can rely on

🎯 Requirements

• 5+ years in data engineering, with demonstrable experience operating in a senior IC capacity • Hands-on production experience with Databricks • Hands-on experience with dbt • Strong SQL and Python • Experience working with product, behavioural, or event-based data sources at scale • Track record of defining and applying engineering standards across testing, CI/CD, documentation, and observability • Experience operating in complex environments — multi-source event landscapes, high-volume pipelines, or platform migrations • Strong communication skills — credible with engineers, analysts, and senior product and business stakeholders, and able to translate technical decisions into business and product impact.

🏖️ Benefits

• Competitive salary with bonus opportunities • Flexible work schedules • Comprehensive health and wellness benefits • Flexible time off plans • Career growth through development programs • Collaborative, innovative culture