Staff Data Engineer

🕒 April 1

🌵 Arizona, California, +19 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌪️ Kansas – Remote 🌾 Nebraska – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote 🧀 Wisconsin – Remote

💵 $160k - $210k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Foley

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1992

☁️ SaaS

👥 HR Tech

🚗 Transport

SaaS • HR Tech • Transport

Foley is a SaaS company that provides an all-in-one hiring, screening, and DOT compliance platform for transportation and fleet operators. Its platform streamlines hiring and onboarding, background checks, drug & alcohol testing, FMCSA Clearinghouse administration, MVR monitoring, and audit risk monitoring to help companies stay compliant, reduce risk, and manage driver and safety data. Foley serves carriers of all sizes and adjacent industries such as retail, utilities, and healthcare with tools to digitize records, monitor safety, and simplify regulatory requirements.

📋 Description

• Lead the design and evolution of our enterprise data architecture • Define standards and best practices for data modeling, storage, and access • Drive architectural decisions that balance scalability, performance, and maintainability • Design, build, and maintain scalable data pipelines • Ensure high data quality, reliability, and observability • Own data warehouse schema design and implement data governance best practices • Act as a technical expert to Engineering, Product, Analytics, and Business teams • Identify opportunities to improve work through automation, tooling, and AI

🎯 Requirements

• Deep expertise in database architecture and distributed data systems • Strong experience building and maintaining ETL/ELT pipelines in production environments • Proven ability to design scalable data warehouse schemas and data models • Experience implementing data governance practices, including RBAC • Strong software engineering fundamentals (backend systems, data processing, reliability) • Ability to operate at a Staff level: driving technical direction and influencing across teams • Experience with Python, SQL, AWS, Redshift, Airflow

🏖️ Benefits

• medical, dental, and vision coverage • 401(k) with company match • paid time off and holidays • wellness programs • employee assistance program