Flight Data Analytics Engineer \u007C Digital Infrastructure jobs in United States
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BETA TECHNOLOGIES · 2 months ago

Flight Data Analytics Engineer \u007C Digital Infrastructure

BETA Technologies is committed to revolutionizing electric aviation through innovation and sustainability. They are seeking a Flight Data Analytics Engineer to enhance their flight data capabilities by developing data transformations, building dashboards, and ensuring reliable data delivery from aircraft systems.

AerospaceAir TransportationBatteryMachinery ManufacturingManufacturing
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Diversity & Inclusion
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H1B Sponsor Likelynote

Responsibilities

Design and maintain data transformations using Python and SQL to convert raw aircraft systems data into analysis-ready datasets, ensuring accuracy and consistency across the data pipeline
Define performant data models to power dashboards and reporting, maintaining their coherence and evolution over time
Build and maintain interactive dashboards and data exploration tools to support flight test teams, aircraft systems engineers, and other stakeholders
Collaborate with aircraft systems engineering teams to understand data schema changes, system interface updates, and evolving data requirements to ensure transformations remain current and accurate
Effectively communicate with both technical and non-technical stakeholders, translating complex data concepts into understandable insights and recommendations
Monitor data quality and integrity throughout the pipeline from aircraft systems to end-user consumption, implementing validation checks and error detection mechanisms
Maintain and optimize data processing workflows running on AWS infrastructure, troubleshooting issues and ensuring reliable data delivery
Maintain documentation of code, algorithms, and data definitions, ensuring clarity for other team members and stakeholders
Work with data and subject matter experts to strive for greater self-serve functionality in our data systems
As necessary, facilitate ad-hoc analysis requests using tools like Jupyter notebooks and direct SQL queries
Actively contribute to a collaborative team environment, fostering open communication, mutual respect, and a unified vision to achieve shared goals and drive business value
Participate in collaborative code and work reviews, providing constructive feedback to teammates and incorporating feedback to continuously improve data solutions and maintain team standards

Qualification

PythonSQLAWSData visualizationData pipeline conceptsETL/ELT processesAnalytical skillsCommunication skillsTroubleshooting skillsProject managementCross-functional teamworkAttention to detailProblem-solving

Required

Bachelor's degree in Engineering, Computer Science, Data Science, or related technical field
3+ years of experience in data analysis, business intelligence, or analytics engineering roles
Strong proficiency in Python for data manipulation, analysis, and pipeline development
Advanced SQL skills and experience with relational databases, as well as familiarity with columnar (e.g., RedShift) and non-relational (e.g. DynamoDB) databases
Experience with cloud platforms (preferably AWS) and containerized applications
Proficiency with data visualization tools and dashboard development
Strong analytical and problem-solving skills with attention to detail and data accuracy
Excellent communication skills with ability to work effectively with both technical and business stakeholders
Experience working with time-series data and large datasets
Understanding of data pipeline concepts and ETL/ELT processes
Aptitude for rapidly learning and integrating with APIs
Understanding of DevOps practices including CI/CD, version control (Git), and infrastructure as code
Strong project management and organizational skills
Exceptional troubleshooting skills with the ability to spot issues before they become problems
Experience supporting and working with cross-functional teams in a dynamic environment

Preferred

Aerospace, aviation, or flight test experience with understanding of aircraft systems and operations
Experience with AWS services including ECS, Fargate, S3, Athena, and related data services
Familiarity with workflow orchestration tools such as Apache Airflow
Experience with modern data lakehouse architectures (Iceberg, Delta Lake, etc.) and query engines like Trino
Grafana expertise including advanced dashboard development, alerting, and plugin usage
dbt (Data Build Tool) experience for analytics engineering workflows
Experience with Jupyter notebooks and Python data science libraries (pandas, numpy, matplotlib, etc.)
Knowledge of data modeling techniques and dimensional modeling concepts
Experience with real-time or streaming data processing
Background in systems engineering or instrumentation with understanding of sensor data and measurement systems
Familiarity with aviation regulations and standards (DO-178, DO-254, DO-330 etc.) as they relate to data systems

Company

BETA TECHNOLOGIES

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Beta Technologies builds electric VTOL and CTOL aircraft, charging systems, and training programs focused on operational simplicity.

H1B Sponsorship

BETA TECHNOLOGIES has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (15)

Funding

Current Stage
Public Company
Total Funding
$1.98B
Key Investors
GE AerospaceState of MichiganQatar Investment Authority
2025-11-04IPO
2025-09-04Series C· $467.9M
2025-08-28Grant· $2.6M

Leadership Team

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Blain Newton
Chief Information Officer
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Kyle Clark
Team Member
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Company data provided by crunchbase