POSITION SUMMARY
Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with data scientists, ML engineers, and software teams to ensure high-quality, reliable, and scalable data pipelines for AI applications.
DUTIES & RESPONSIBILITIES
· Design, build, and maintain data pipelines for AI and machine learning workflows
· Collect, clean, and preprocess structured and unstructured data
· Develop and manage datasets for model training, validation, and inference
· Collaborate with ML engineers and data scientists to support model development
· Ensure data quality, integrity, and availability across systems
· Optimize data storage and retrieval for performance and scalability
· Implement data governance, security, and compliance best practices
· Monitor and troubleshoot data pipeline issues
REQUIRED SKILLS & QUALIFICATIONS
· Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)
· Strong programming skills in Python and/or SQL
· Understanding of data engineering concepts (ETL/ELT, data modeling, data warehousing)
· Familiarity with machine learning workflows and data requirements
· Experience with data processing tools (e.g., Pandas, Spark)
· Knowledge of relational and non-relational databases
· Basic understanding of cloud platforms (AWS, Azure, or Google Cloud)
PREFERRED QUALIFICATIONS
· Experience supporting machine learning or AI projects
· Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop)
· Experience with data pipeline orchestration tools (e.g., Airflow, Prefect)
· Knowledge of MLOps practices and tools
· Experience working with unstructured data (text, images, etc.)
· Understanding of data governance and privacy standards
· Strong analytical and problem-solving skills
· Attention to detail and data quality
· Ability to work with cross-functional teams
· Good communication skills
· Ability to manage multiple data workflows
Skills Required
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)
- Strong programming skills in Python
- Strong programming skills in SQL
- Understanding of data engineering concepts (ETL/ELT, data modeling, data warehousing)
- Familiarity with machine learning workflows and data requirements
- Experience with data processing tools (Pandas, Spark)
- Knowledge of relational and non-relational (NoSQL) databases
- Basic understanding of cloud platforms (AWS, Azure, or Google Cloud)
- Experience supporting machine learning or AI projects
- Familiarity with big data technologies (Apache Spark, Kafka, Hadoop)
- Experience with data pipeline orchestration tools (Airflow, Prefect)
- Knowledge of MLOps practices and tools
- Experience working with unstructured data (text, images, etc.)
- Understanding of data governance and privacy standards
- Strong analytical and problem-solving skills; attention to detail; good communication; ability to manage multiple workflows and work cross-functionally
Flexjet Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Flexjet and has not been reviewed or approved by Flexjet.
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Retirement Support — Retirement benefits include a dollar-for-dollar 401(k) match up to 6%, with pilots eligible for added company retirement contributions and a deferred compensation program that begins after year three. Feedback suggests these features lift total retirement value beyond base pay for pilots and certified technicians.
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Wellbeing & Lifestyle Benefits — Pilot work rules emphasize home basing across 115+ domiciles, company-paid positioning on scheduled days, no reserve or calls on days off, and the ability to keep hotel and airline points. A high per diem and company-paid training further support day-to-day quality of life.
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Pay Growth & Progression — Pay is considered to have improved for pilots in 2024+, with first-year totals rising and base pay viewed as good relative to some Part 135 operators. Feedback suggests several non-flying roles track at industry standard or slightly above, aligning with local market medians.
Flexjet Insights
What We Do
Flexjet first entered the fractional jet ownership market in 1995. Flexjet offers fractional jet ownership and leasing. Flexjet’s fractional aircraft program is the first in the world to be recognized as achieving the Air Charter Safety Foundation’s Industry Audit Standard, is the first and only company to be honored with 21 FAA Diamond Awards for Excellence, upholds an ARG/US Platinum Safety Rating and is IS-BAO compliant at Level 2. Flexjet’s fractional program fields an exclusive array of business aircraft—some of the youngest in the fractional jet industry, with an average age of approximately six years. In 2015, Flexjet introduced Red Label by Flexjet, which features the youngest fleet in the industry, flight crews dedicated to a single aircraft and the LXi Cabin Collection of interiors. To date there are more than 40 different interior designs across its fleet, which includes the Embraer Phenom 300, Challenger 350, the Embraer Legacy 450 and Praetor 500, Global Express, the Gulfstream G450, G500, G650 and G700, and the Aerion AS2 supersonic business jets. Flexjet is a member of the Directional Aviation family of companies. For more details on innovative programs and flexible offerings, visit www.flexjet.com or follow us on Twitter @Flexjet and on Instagram @FlexjetLLC.
