Data Engineering Team Lead

Job not on LinkedIn

October 24

🌪️ Oklahoma – Remote

Although this job is listed in Oklahoma, this company may be open to hiring remote in other states.

💵 $155k - $185k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Medefy Health

WebsiteLinkedInAll Job Openings

SaaS • B2C • eCommerce

Medefy Health is a link-in-bio and social media management SaaS platform that helps creators, influencers, small businesses, and brands consolidate and share their content across social channels. It provides tools for creating a customizable landing link (and QR codes), scheduling and auto-posting, AI-powered content and caption generation, audience management and email integrations, monetization features (shops, digital products, affiliate/sponsored links), and analytics to track clicks, engagement, and revenue.

51 - 200 employees

Founded 2019

☁️ SaaS

👥 B2C

🛍️ eCommerce

📋 Description

• Lead and mentor the data engineering team in day-to-day operations, providing guidance, coaching, and support. • Partner with QA and DevOps to ensure smooth, reliable releases. • Oversee data exchange processes with clients and partners, ensuring integrity and security. • Foster a culture of excellence, curiosity, and accountability while promoting well-being and teamwork. • Celebrate wins, identify lessons from challenges, and promote growth through shared learning. • Contribute hands-on to complex data engineering work as needed (approximately 40–60 % of the time). • Collaborate with the CTO on the ongoing architecture and evolution of our data platform. • Provide mentorship in debugging, optimization, and performance tuning. • Champion best practices for code quality, documentation, and agile delivery. • Perform other duties as assigned in a dynamic, fast-paced environment.

🎯 Requirements

• A bachelor’s degree in Computer Science, Engineering, or a related field – or equivalent professional experience. • Experience leading and managing a cross-functional data engineering team, with an interest in mentoring analysts and data scientists. • Hands-on experience with technologies such as Snowflake, dbt, and Terraform; familiarity with Power BI, OpenAI/GPT, and large language models is a plus. • A track record of delivering high-quality projects on time and within scope. • Experience with agile methodologies and project management tools. • Skill in working with third-party data providers and acquisition processes. • Proficiency in debugging, troubleshooting, and performance optimization. • Strong understanding of data engineering best practices and standards. • Excellent communication and interpersonal skills, with the ability to collaborate effectively across disciplines. • Experience with CI/CD pipelines and automated testing frameworks. • Prior experience in a startup or fast-growth environment.