Senior Data Engineer

🔥 12 hours ago

🌵 Arizona, California, +20 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 🚗 Michigan – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote 🧀 Wisconsin – Remote

💵 $140k - $180k / year

⏰ Full Time

🟠 Senior

🚰 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

• Design, build, and maintain scalable data pipelines across internal databases, vendor systems, and our data warehouse • Support both batch and event-driven or CDC-based data workflows • Improve pipeline reliability, observability, and performance • Troubleshoot issues in production and proactively solve data quality or system problems • Build and maintain data warehouse schemas and transformation layers to support analytics and operational use cases • Communicate clearly about implementation choices, tradeoffs, and technical constraints • Identify opportunities to improve data workflows through better tooling, automation, and engineering practices • Help shape scalable patterns for how data is ingested, transformed, stored, and accessed

🎯 Requirements

• Strong experience building and maintaining ETL/ELT pipelines in production environments • Experience working across both batch and streaming / CDC / event-driven data patterns • Proven ability to design and maintain scalable warehouse schemas and data models within a layered architecture • Strong experience with Python, SQL, and cloud-based data platforms • Experience with AWS data services such as Redshift, Glue, Lambda, S3, and EventBridge • Strong software engineering fundamentals, including reliability, testing, and maintainability • Ability to operate independently and deliver high-quality solutions within a defined technical scope • Strong problem-solving skills and a track record of handling issues in production environments.

🏖️ Benefits

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