Sr. Data Engineer

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:

Are you passionate about transforming noisy, real world data into valuable information that makes an impact on society and business? 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 Analytics team architects and manages UAM’s internal data infrastructure and platform, 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.

As a Sr. Data Engineer on the Analytics team, you will be responsible for identifying and acting on opportunities to improve our business at large through data and analytics – and contributing back to the central platform and capability. Sr. Data Engineers are partners on key areas of strategic focus for our business with internal customers spanning every team, including engineering, R&D, Strategy, and People Operations. This is an outstanding opportunity to join as the first Data Engineer in our new Analytics team, work closely with senior leadership, and help set up core systems of records and analytic capabilities across the business.

What you can do:

• Collaborate with stakeholders across the business to identify, develop, and deliver 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)
• Help craft, build, scale, document, and maintain data sources, data pipelines, and technical components for seamless discoverability and usage
• Consistently clean and transform data sets to populate the data lake
• Write, maintain, and improve code, pipelines, ontologies, visualizations, interactive tools, and dashboards to enable technical and non technical users to leverage data
• 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
• Drive analytics and data strategy across the organization including leading training sessions and best practices in our data systems
• Stay up to date on industry best practices and standards

What you can contribute:

• Shown experience in a similar role or related technical field with strong engineering or science background (preferred in fields such as Computer Science, Mathematics, or Information Sciences)
• Proven experience in working with big data platforms across diverse use cases with streaming pipelines
• Experience with variety of data storage solutions, infrastructure, platforms, and tools across the full stack (e.g., AWS, Azure, Snowflake, Cassandra, DeltaLake, MongoDB, Neo4J, DataBricks, Palantir Foundry)
• Professional experience with programming languages such as Python, R, Java, and Scala
• Experience with ETL and ELT
• Experience with integration and orchestration tools and frameworks (Informatica, Airflow/Prefect)
• Experience with configuring clusters for distributed processing, i.e, Spark, Dask
• Exposure to Docker workflows.
• Ability to develop simple and complex ontologies
• Ability to write, analyze, optimize and debug complex SQL queries
• 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 from entry level to executive
• Continuous learner, independent worker, and strong decision maker (with minimal supervision)

You may also be able to contribute:

• Experience with applying data and analytics to a variety of use cases from business development to aerospace engineering to manufacturing / production and more
• Experience with Data Warehouse design, ETL, and architecting efficient software designs
• Proficiency with data ingestion and processing frameworks, including Kafka and Spark
• Knowing how to treat “data as code”
• Experience with working with ERP systems
• Familiarity with data as a service (DaaS) or microservices
• Experience with aerospace and/or autonomous vehicle use cases

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: ta-support@supernal.aero 

This position may include access to certain technology and/or software source code, that will be subject to U.S. export control laws. If an export license or other export control authorization is required in connection with your employment, your employment is contingent upon Supernal’s receipt of such license or authorization and approvals and your continued compliance with all conditions and limitations contained in such license or authorization.