Senior Data Engineer (Machine Learning)
Remote
Applications have closed
Factored
Empower your business with top AI engineers in innovation, business analytics, and data science. Scale efficiently with our expert-led AI solutions.We are looking for a Senior Data Engineer with experience in machine learning environments to join our team. You will drive the development of AI products for external clients and internal efforts, and participate in the development of top-notch AI systems.
At Factored we are building a company that we all hold as our own, every single one of us. We need your skills to help take this rocketship to new heights and help create new opportunities for us. In return, you will be rewarded with an amazing team that supports you, rich culture, shared success, and the flexibility to work– from the comfort of your home
What You Will Be Doing:
- Consume different ML pipelines in real-time that use multiple data sources for inference.
- Design and develop optimal data processing techniques to handle real-time and near real-time requests over millions of transactions.
- Implement ETL processes for different datasets using a big data tech stack and orchestration tools.
- Deploy and maintain data infrastructure using cloud tools, ensuring high availability and responsiveness of the system through the use of best practices.
- Monitor performance and advise infrastructure changes.
What You Must Bring:
- 4-5 years of experience with data, with at least 2 years working with data engineering in the context of machine learning projects.
- Strong experience with Big Data environments (EMR, Spark, Scala, Python, SQL, Airflow).
- Experience using AWS tools and platforms (Model deployment/evaluation/monitoring, ML feature pipeline).
- Strong Computer Science foundations and outstanding coding skills.
- Critical thinking, structured and logical communication skills, ability to problem solve and articulate solutions for complex settings.
- Excellent English communication skills and the ability to have in-depth technical discussions with both the engineering team and business people.
Nice To Have:
- Prior experience or exposure to streaming data processing platforms (Apache Kafka, Amazon Kinesis or similar).
- System architecture and design skills.
- Experience with Golang is a big plus.
We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth is available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business, and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts.
In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission. When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Big Data Computer Science Engineering ETL Golang Kafka Kinesis Machine Learning Model deployment Pipelines Python Scala Spark SQL Streaming Testing
Perks/benefits: Career development Flex vacation Startup environment
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