Lead Data Engineer

Company: Supernal
Location: Alamo
Posted on: November 26, 2022

Job Description:

Supernal is at the forefront of creating emerging mobility solutions that will foster the development of human-centered cities. We are designing a completely new electric vertical take-off and landing (eVTOL) aircraft tailored to the mobility needs of future cities. This allows passengers a seamless intermodal journey that safely transports them to their final destination. We fuse research in autonomy, robotics, aviation and services to define a new category of mobility for the world's communities. We believe in creative thinking and collaboration to help build a better mobility experience for everyone, improving people's ability to move - whether for work or play.

What we do:

Data is the backbone of Supernal from developing our autonomous air vehicles to building the global ecosystem for advanced air mobility to building, scaling, and running an efficient, effective, and data driven business. The new Data team architects and manages UAM's internal data infrastructure, partners with users across the company to enable data driven solutions and runs strategic projects to stay at the forefront of data and analytical capabilities. We are a team of data engineers, data architects, data scientists, data analysts, data you-name-it, and we're building out a cutting-edge data platform and capability for this new business comprised of modern leading technologies to enable the next generation of mobility solutions.

As Lead Data Engineer on the new Data team, you will hold a key role in defining our data solutions and capabilities. You will have the opportunity and support to truly innovate and build the right data solution from ground up to help execute our vision of an advanced air mobility future. You will live and breathe continuous improvement and will be responsible for identifying, implementing, and supporting use cases that can leverage data engineering and analytics to improve outcomes. Lead Data Engineers are key partners to internal customers spanning across Supernal, including Engineering, R&D, Strategy, People Operations, and senior executives. This is a unique opportunity to join as the first Data Engineer, work closely with senior leadership, and help set up core systems of records and analytic innovations across the business. You will be a leading voice in our data strategy and its delivery.

What you can do:

Transform noisy, real-world data into valuable information that enables the business to quickly and effectively make data driven decisions

• Partner with your team and technical collaborators and deliver internal data and analytics products on critical use cases where data can be used to excavate hidden insights (e.g., battery testing, testing and certification, AI, demand forecasting, people analytics, cybersecurity, systems of record)
• Write, maintain, and improve code, pipelines, ontologies, visualizations, interactive tools, and dashboards to enable technical and non-technical users to leverage data
• Identify key data sets through deep engagement with use cases and workflows Design, build, and manage end to end data pipelines in a cohesive data platform
  • Develop scalable, reliable, manageable data pipelines
  • Develop and train CI/CD practices for data integration
  • Partner with technical team members to design solutions for MLOps, data quality verification, anomaly detection, real-time streaming pipelines
  • Design, integrate, and document technical components for seamless data discoverability and usage
  • Triage and address support requests (e.g., workflow and product issues) Actively enable a data driven and innovative culture across the organization
    • Communicate insights in a way that resonates with internal and external partners
    • Design and guide best practices in data, code, and process management
    • Drive data strategy across the organization including leading training sessions and standard processes in our data systems
    • Stay up to date on industry best practices and standards Other duties as assigned
      
      What you can contribute:
      • B.S. in relevant field such as computer science, mathematics, physics, software engineering, data science, or information sciences or equivalent work experience
      • 8-10 years of relevant work experience (an equivalent combination of education and experience may be considered)
      • Demonstrated experience in working with big data platforms across diverse use cases, including data management
      • Professional experience with / comfortable using:
        • Programming languages such as Python, Java, or Scala
        • Cloud services such as AWS/Azure
        • Databases and data lakes
        • Using SQL
        • Spark (any interface, but PySpark preferred)
        • Git
        • Command line
        • CI/CD
        • Ability to develop and manage data pipelines and lineage
        • Creative and curious problem solver, able to take an ambiguous and complex need and develop data / analytics solutions
        • Able to work in a rapidly changing and ambiguous environment
        • Excellent written and verbal communication skills with ability to work across the business with diverse, technical, and non-technical colleagues
        • Continuous learner, independent worker, and strong decision maker
        • Collaborative teammate with commitment to Diversity, Equity, and Inclusion
        • Experience in industry working with highly regulated data, i.e., aerospace, automotive, healthcare, finance
        • Experience with Docker You may also be able to contribute:
          • Experience with export-controlled data
          • Experience applying data and analytics to a variety of use cases from business development to aerospace / automotive engineering to manufacturing / production and more
          • Experience with airflow or similar python-based DAG orchestration tool
          • Experience with Data Warehouse design, ETL, and architecting efficient software designs
          • Experience supporting analytics and ML use cases
          • Experience working with streaming pipelines, and stream processing
          • Experience with Kubernetes and Jenkins
          • Experience using Jira and Atlassian tools
          • Experience making simple dashboards with common BI Tools Any offer of employment is conditioned upon the successful completion of a background check. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, citizenship, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Individuals with disabilities may request to be provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at:
            
            The job responsibilities of this position require access to certain technology and/or software source code subject to U.S. export control laws and certain software that can only be used and accessed by U.S. Persons. Accordingly, this position is limited to applicants that are US Persons, i.e., U . S . citizen s , lawful permanent resident s as defined by 8 U.S.C. 1101(a)(20) , or protected individual s as defined by 8 U.S.C. 1324b(a)(3) .
            
            

Keywords: Supernal, San Francisco , Lead Data Engineer, Engineering , Alamo, California