Senior Software Engineer - Data

💡 Who We Are

Hi there! We're Carbyne, and every day, we're on a mission to revolutionize public safety. As the global leader in emergency collaboration technology, we're building a cutting-edge platform that helps save lives—think live video streaming , real-time chat , and precise location tracking.

Our tools empower emergency teams to respond faster and smarter, ensuring help reaches those in need ASAP! With partnerships with tech giants like Amazon, Microsoft, and AT&T, we're innovating life-saving solutions for over 400 million people worldwide

Are you ready to make a difference with us? Let's do this!

🚀 About The Role

We are looking for a Senior Software Engineer with expertise in Data Engineering to join our newly rebranded Data Team. The hire will lead designing, implementing, growing and optimizing the data and data-pipeline architecture of our product, consuming both live data feeds as well as database inputs, and creating a data platform that serves both live views, Analytics, and AI. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The SW Engineer - Data Engineering will work closely with software developers, database architects, product managers, and customer representatives to handle data, analytics, and insights created for the new product. They will also ensure the data architecture and delivery are optimized.

What You'll Do:

• Create and maintain an optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies (e.g. Kinesis, Kafka, etc.)
• Build analytics tools that utilize the data pipeline to provide actionable insights
• Build backend Scala services to store, analyze and disseminate live data
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions
• Work with data and analytics experts to strive for greater functionality in our data system
  
  

• 7+ years of experience as a Software Engineer with expertise in Data Engineering (experience with Scala or Java development)
• BSC in software engineering, computer science, Computer Science, Statistics, Informatics, Information Systems or another quantitative field
• Experience building and optimizing 'big data' data pipelines, architectures and data sets
• Experience with big data and stream processing tools (Kinesis, Kafka, Spark, Spark-Streaming, Storm, etc.)
• Experience with AWS cloud services. (EKS, EMR, RDS, Redshift)
• Good working SQL knowledge and experience working with relational SQL and NoSQL databases, including MySQL and DynamoDB
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with un- and semi-structured datasets
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management
• A successful history of manipulating, processing, and extracting value from large datasets
• Advanced working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores
• Experience supporting and working in full-stack teams in a dynamic environment