Data Engineer
Company: Supernal
Location: Newport Beach
Posted on: March 15, 2023
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:
The Sr. 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.
What you can do:
- 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 What you can contribute:
- Bachelor's degree in relevant field such as computer science,
mathematics, physics, software engineering, data science, or
information sciences
- 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 You may also be able to contribute:
- 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, 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) .
The pay range for this position is:
$121,680 $186,160 USD
Click HERE or visit: to view our benefits!
Keywords: Supernal, Newport Beach , Data Engineer, Engineering , Newport Beach, California
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