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.

The Data Engineer is responsible for identifying, implementing, and supporting data use cases and owners throughout the business that can use data engineering and analytics to improve outcomes. Activities include collaboration with business units to identify ways data can improve their outcomes, designing use case ontologies, building, and maintaining start to finish data pipelines across disparate sources, standing up no code dashboards, and designing / guiding standard processes in code, data, and process management. This is a highly collaborative role and will work closely with collaborators and partners across the business and the rest of the Data team. It may also require collaboration with third party technology partners, Corporate IT, and the ERD Digital Tools team.

This position will be required to work on-site 5 days a week.

• Transform noisy, real-world data into valuable information that enables the business to quickly and optimally make data driven decisions
• Partner with your team and technical stakeholders 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, cyber security)
• 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 integrations
• Partner with technical team members and collaborators 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 within Supernal
• Communicate insights in a way that resonates with internal and external parties
• Design and guide standard methodologies in data, code, and process management
• Drive data strategy across the organization including leading training sessions in our data systems
• Stay up to date on industry best practices and standards
• Other duties as assigned

• Bachelor’s degree in relevant field such as computer science, mathematics, physics, software engineering, data science, or information sciences preferred
• A minimum of five (5) years of proven experience with big data platforms across diverse use cases, including data management (an equivalent combination of education and experience may be considered)
• Experience and architectural understanding working with one (1) or more cloud data warehouses—Azure Synapse, Snowflake, Google BigQuery, AWS Redshift.
• Experience working with highly regulated data in the aerospace, automotive, healthcare, and/or financial industries
• Professional experience with / comfortable using: Programming languages, cloud services such as Azure (preferable), databases and data lakes,
• Using SQL, Spark (any interface, but PySpark preferred), Git, Command line, CI/CD
• Solid expertise and skills in OO programming paradigm and implementation
• Must have good understanding of the inner workings and hands-on skills with data technologies: Kafka, Spark, etc.
• Knowledge of various ETL techniques and frameworks; experience integrating data from multiple data sources
• Solid understanding of distributed system concepts, cloud computing
• Robust development abilities and a strong predilection for automation
• Ability to develop and handle 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 with diverse, technical, and non-technical colleagues
• Forward-thinking, continuous learner, and strong decision maker
• Collaborative teammate with commitment to Diversity, Equity, and Inclusion

• Master’s degree preferred

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, disability status or any other category or class protected under applicable federal, state or local law. Individuals with disabilities may request a 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: [email protected]

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. citizens, lawful permanent residents as defined by 8 U.S.C. 1101(a)(20),or protected individuals as defined by 8 U.S.C. 1324b(a)(3).