Senior Data Infra Engineer

Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.

Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.

Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.

If you’re inspired to dream big, innovate fast, and make a difference, we’d love to hear from you! For more information, visit www.newsbreak.com/about

We are offering a unique opportunity for you to help shape the future of NewsBreak. 

The ideal candidate is expected to work on the data infrastructure and enable company growth by executing actionable milestones, with the help and guidance from industry-leading experts. This experience can be career-changing for you as you join NewsBreak during this hyper-growth period.

• →Implement, maintain and optimize data pipelines, architectures and data sets.
• →Bring your expertise to help model structured & unstructured data. Own these data models and be a data POC across teams.
• →Collaborate with data scientists, platform engineers to understand data needs and drive key data infrastructure decisions across application teams.
• →Be a team player and a mentor with strong communication skills.

• BS or MS degree in Computer Science or equivalent technical field.
• 5+ years of experience in a fast paced, high growth tech environment is preferred.
• Experience with databases and data infrastructure, either from work or school projects.
• Experience in big-data technologies like Hadoop, Spark, Presto, Kafka, Flink.
• Experience improving efficiency, scalability, and stability of system resources.
• Experience working in a cloud environment, preferably AWS.