Senior Data Engineer, Constellation Services

Das ist der Job

Planet designs, builds, and operates the largest constellation of imaging satellites in history.

Darum lohnt es sich

Key Responsibilities As a Senior Data Engineer (DE) at Planet, you will own, design and build enterprise ETL pipelines and self-service data tooling using modern cloud technologies.

You’ll be part of the Data Team within the Software Engineering organization, which is made up of data scientists, engineers and analysts working on similar tasks across Planet domains.

You will own the ongoing evolution of data solutions supporting monitoring and analysis of Planet’s Missions team and Constellation Services (CxS) products, a new line of products which support large customers in buying secure access and reserved capacity on our satellites.

Requirements 6+ years of relevant experience Bachelor's degree in a relevant field Experience designing and implementing data architecture for data solutions end to end, from ingestion through insight and with an eye for data accuracy Expertise in Python and SQL ETL pipeline buildout Experience with the modern data stack: Fivetran, dbt, Looker/Omni/Sigma, or similar Ability to be a self-starter for solving problems in a dynamic environment Ability to clearly communicate and collaborate with cross-functional teams Experience with maintaining peer-reviewed code and continuous integration and deployment workflows and tooling like GitLab CI and Docker or similar Experience with cloud architectures and services, such as Google Cloud Platform (preferred) or AWS Experience working with geospatial datasets and event-based data architectures Experience with messaging services (Pub/Sub, RabbitMQ, etc) and real-time streaming Experience with monitoring and observability tools like Datadog, Grafana, or equivalent Knowledge of earth observation and/or satellite operation concepts Paid time off including vacation, holidays and company-wide days off Employee Wellness Program Home Office Reimbursement Monthly Phone and Internet Reimbursement Tuition Reimbursement and access to LinkedIn Learning Equity San Francisco Fair Chance Ordinance: We will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr You will work closely with cross-functional stakeholders across the company to understand their needs and to deliver robust, flexible solutions and clear insights to meet those needs.

You will build data solutions end to end: architecture, implementation, CI/CD and orchestration of pipelines, QA, visualization and effective data communication.

You will collaborate closely with CxS-focused counterparts on our Product, Engineering, Space Systems and Commercial orgs to ensure they have the data they need to evaluate the success of the products.

This role will appeal to candidates who are looking for opportunities to evolve a complex data system end to end and bring needed technology to the defense and intelligence sector. This is a full-time, hybrid role which will require you to work from our Berlin office 3 days per week.