Slingshot Aerospace

Software Engineer (Data Engineering Team)

Slingshot Aerospace

full-time

Posted on:

Origin:  • 🇺🇸 United States • Arizona, California, Colorado, District of Columbia, Florida, Hawaii, Illinois, Kansas, Montana

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Salary

💰 $105,000 - $174,000 per year

Job Level

Mid-LevelSenior

Tech Stack

ApacheAWSCloudDockerETLJavaJavaScriptKubernetesLinuxMongoDBPostgresPythonSparkSQLTypeScript

About the role

  • Build and maintain data processing pipelines using Databricks, a state-of-the-art AI-powered data platform.
  • Help design and build next-generation products that deliver Slingshot’s best-in-class satellite data and analytics to government and commercial customers around the world.
  • Contribute to the improvement, operations, and maintenance of the Slingshot Global Sensor Network (GSN)
  • Develop and maintain automated alerting systems, track and resolve software faults, and enhance software components across Slingshot’s tasking, collection, processing, exploitation, and dissemination pipeline.
  • Champion industry best practices and provide input into the strategy and technical planning of Slingshot’s software infrastructure and technology stack.
  • Execute all position responsibilities in alignment with Slingshot’s core values, mission, and purpose.
  • Build high-performance back-end software systems and front-end GUIs and dashboards through strong collaboration with fellow Slingshot team members.
  • Help architect and implement cutting-edge software systems running on cloud platforms and edge devices using industry best practices.
  • Engage with customers and stakeholders to ensure successful outcomes for their mission-critical needs.
  • Promote industry coding standards and best practices.
  • Develop and mature software to help automate and enhance optical sensor data tasking, collection, processing, exploitation, and dissemination.
  • Develop and maintain automated alerting systems.
  • Track and resolve software faults reported by fellow team members.
  • Support ongoing and future transitions of Slingshot’s products and services to the Slingshot GSN, to space operations centers, and to other technology testbeds.
  • Perform other duties as assigned (to be less than 10% of the responsibilities listed above).

Requirements

  • Must be able to work remotely, including having adequate internet bandwidth to support video calling and software development activities.
  • Must be a U.S. citizen eligible for government clearances.
  • 5+ years’ experience in software engineering
  • Bachelor’s degree in computer science or related technical field
  • Proficiency producing technical documentation, including written documents and technical drawings
  • Strong data management experience, including using and developing with databases such as: MongoDB, PostgreSQL, Databricks
  • Experience developing high-performance data transformation and processing software using such languages and frameworks as: Python, Spark, SQL, C/C++, Java, and JavaScript/TypeScript
  • Experience developing software running natively on Linux or in containers (Docker/Kubernetes) in cloud environments (preferably AWS)
  • Ability to work both independently and on teams, and to learn whatever technologies and platforms are required to complete assigned tasks
  • Self-starter mentality, including resolving blockers independently and escalating problems when necessary, and ability to work on a fluid and dynamic team with changing requirements
  • Strong written communication skills and attention to detail
  • Ability to travel up to 10% of the time
  • Significant experience developing and debugging applications in Python and/or C++, including deployment experience in a Linux operating environment
  • Experience working in a remote startup environment on a high-performing engineering team
  • Experience investigating and debugging complex processes
  • Experience working for aerospace companies and/or working with aerospace data and data files
  • Experience setting up data ETL pipelines with Databricks and Apache Spark, or with other data environments
  • Experience optimizing software while balancing multiple outcomes, e.g. performance, data throughput, system load, and cost
  • Experience using and developing in Amazon Web Services (AWS)