At TeamStation AI, we are on a mission to bring together the brightest minds to solve tomorrow’s toughest technology challenges. Our work is about more than just AI—it’s about building the future through collaboration and innovation. We believe that the key to solving the world’s most complex problems lies in aligning diverse talents and perspectives. Our AI-powered platform enables cutting-edge scientific and technical teams to work smarter, faster, and together. By joining us, you’ll help unlock new technological breakthroughs and drive innovation where it matters most.

Join the Mission at TeamStation AI!

Where do we come from? We are seeking visionaries, innovators, and problem solvers who thrive in fast-paced, collaborative environments. If you’re passionate about AI, technology, and solving critical challenges, we want to hear from you. Come be part of a team where your ideas can drive the future.

Job description

We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The Data Engineer will support our software engineers, database architects and analysts on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.

Responsibilities:

• Develop core data relationship, data ingest, data transformation services and search capabilities.
• Maintain all facets of data infrastructure, including backups/disaster recovery, software deployment/configuration, security best practices, performance tuning, and troubleshooting.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• 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
• Review project objectives and determine best technology for implementation. Implement best practice standards for development, build and deployment automation.
• Design, maintain and optimize highly distributed analytics data stores
• Write well-abstracted, reusable and efficient code

Job Requirements

• 5+ years of relevant Data Engineering technical experience
• Bachelor’s degree in Technology based discipline preferred.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Experience with AWS cloud services: Lambda, S3, Glue, Redshift, and Athena, or their open source equivalent (Zeppelin, Presto, etc)
• Experience with data pipelining with AWS Datapipeline, Airflow or Luigi
• Experience with object-oriented/object function scripting languages: Python code development, python unit testing (tox), Pyspark
• Up-to-date on latest industry trends; able to articulate trends and potential clearly and confidently
• Understanding of best practices within the development process