Data Engineer (WFH)
Remote job
Penbrothers
About Penbrothers
Penbrothers is an HR & remote talent management partner and one of the fastest growing companies in the Philippines. We provide talented Filipinos with global opportunities in high-growth startups and dynamic companies, from the comfort of their own homes.
About the Client
Our client is a US-based AI-powered, machine learning-driven, B2B SaaS social intelligence platform. They specialize in demystifying social video platforms like TikTok. They go beyond hashtags and dive deep into content inside videos, which is influencing audience's beliefs, behaviors, and purchasing decisions.
They are a dynamic startup founded and led by two inspiring women who prioritize transparency, honesty, and a supportive work environment. They believe in fostering autonomy and encourage team members to take technical ownership of projects end-to-end. As a young and growing company, they offer ample opportunities for you to explore your interests and influence the direction of their products.
About the Role
We are seeking a passionate and skilled Data Engineer to join a fast-paced, fully remote team. In this role, you will play a pivotal part in building and refining the backbone of our client’s social media listening platform. You’ll tackle exciting challenges, drive impactful projects, and help shape the future of our data infrastructure.
What you’ll do
Design, develop, and automate scalable data pipelines that serve as the foundation for our products.
Build, optimize, and maintain backend infrastructure to support our client-facing applications.
Own and lead projects with direct and meaningful impact on our clients.
Collaborate with a remote team to ensure seamless integration and delivery of high-quality solutions.
Requirements
What You Bring
Experience:
3+ years of hands-on Python & Django programming experience.
3+ years of SQL experience.
2+ years working with AWS services or relevant cloud environments (Azure, GCP).
Proven expertise in data pipeline architecture, including building, maintaining, and automating processes.
Beginner to intermediate experience in Machine Learning Engineering.
Tools & Technologies:
Experience with Airflow is a plus.
Team Collaboration Skills:
Strong communication and collaboration skills, with a track record of excelling in remote team environments.
Ability to thrive in a fast-paced, startup atmosphere.
Proactive and highly engaged in exchange of ideas.
Education:
Bachelor’s or Master’s degree in Computer Science or a related field is preferred.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Azure Computer Science Data pipelines Django Engineering GCP Machine Learning Pipelines Python SQL
Perks/benefits: Career development Startup environment Transparency
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