Starry is proud to be an Equal Opportunity workplace. Just like the internet service we provide, we do not discriminate. We welcome people from all over the world to share their knowledge and perspectives. At Starry, you can discover the many careers and opportunities that are made possible when you connect people to the limitless possibilities of the internet.
Our mission focuses on two things. First, we’re making the experience of accessing the internet simple, transparent, and delightful. Second, we’re bringing that experience to underserved communities around the world. We approach our mission with a cutting-edge wireless technology, customer service designed to delight, and a culture of innovation and intellectual curiosity.
Who we’re looking for:
The data team is responsible for maintaining our internal analytics platform used by many departments at Starry. We’re looking for a data engineering manager to join us as we continue to build out our analytics platform, tooling, and pipelines. You'll work with siloed business units to automate business processes and data pipelines while managing a small centralized data engineering team. We are looking for a candidate that relishes in autonomy and the design process.
What you’ll do:
- Design data architecture and patterns for analytics and data science
- Build tools to help democratize data across the company
- Architect and implement a streaming data platform and processing framework
- Develop generalized solutions to common analytics problems
- Translate stakeholder requirements to tickets
- Research and recommend new technologies to help scale our data infrastructure
- 5+ years data engineering experience
- 1+ years managing
- Python and SQL mastery
- Experience with transactional databases like PostgreSQL
- Experience with analytics databases like Snowflake
- Experience with batch ETL
- Experience with distributed compute
- Experience with orchestration tools like Airflow or Luigi
- Experience or a knowledge of streaming or near real time patterns
- Experience working with container frameworks like Docker
- Experience with Git and CI/CD within the context of data engineering
- Understanding of the data science workflow
Bonus Points if..
- Experience writing batch ETL in Spark
- Experience building streaming or near real time frameworks on Kinesis or Kafka
- Experience working with data science teams
- Experience managing an AWS account
We work hard, so we take care of each other and try to enjoy ourselves along the way. We have:
- Premium medical, dental, and vision coverage with no employee contribution required
- 12 weeks of paid parental leave
- Catered meals on a weekly basis
- Groups for skiing, biking, running, climbing, stretching, shuffleboard, darts, and more
Disclaimer: This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee.
Qualified Applicants must be legally authorized for employment in the United States. Qualified Applicants will not require employer sponsored work authorization now or in the future for employment in the United States.