Systems Enginuity, Inc. (SEI) is seeking a Lead Data Engineer to help build scalable data processing capabilities for FAA aviation safety research. This role supports the end-to-end integration of high-volume aircraft trajectory and spatial-temporal data so it can be used for analytics and machine learning, with a blend of hands-on engineering and technical leadership.

The position is remote and focused on designing and delivering real-time/streaming, incremental, and batch pipelines, along with the supporting architectures, models, and interfaces that connect raw inputs to analytics-ready features.

Responsibilities

Lead the design, development, and deployment of scalable real-time/streaming, incremental, and batch data processing pipelines for aviation safety research and analytics.
Design and implement data architectures to integrate and synchronize aircraft trajectory, surveillance, operational, environmental, and other spatial-temporal data.
Design data models and processing approaches for maintaining aircraft state, trajectory histories, spatial relationships, and derived analytical features.
Develop and oversee data processing capabilities that provide reliable, reproducible inputs to trajectory prediction, anomaly detection, machine learning, visualization, and other analytical applications.
Lead development of APIs, data services, feature pipelines, and interfaces connecting source data, analytical models, enterprise platforms, and user-facing applications.
Address performance, scalability, data quality, temporal alignment, spatial processing, data gaps, and other engineering challenges for high-volume trajectory and telemetry data.
Work closely with data scientists and ML engineers to support training data generation, model evaluation, feature engineering, and near real-time model execution.
Provide hands-on technical leadership through architecture reviews, code reviews, engineering best practices, and mentoring senior and associate engineers.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or related technical field.
8+ years of experience with a Bachelor’s degree, or 6+ years of experience with a Master’s degree.
Advanced proficiency in Python and SQL and current software engineering practices.
Significant experience with streaming, event-driven, incremental, or distributed data processing architectures.
Experience with technologies such as Palantir Foundry, Kafka, Flink, Spark, Databricks, Snowflake, or comparable technologies.
Experience processing large-scale time-series, telemetry, sensor, geospatial, or spatial temporal data.
Experience working with APIs, databases, cloud platforms, containerized environments, and modern software/data architectures.
Experience with Java, TypeScript, or other programming languages used in large scale distributed systems.
Experience with geospatial libraries and spatial indexing approaches.
Experience working with aircraft surveillance track data or ADS-B data, trajectory processing, and predictive analytics.
Aviation, aerospace, transportation, or other safety-critical systems experience.

Technologies

Python
SQL
Palantir Foundry
Kafka
Flink
Spark
Databricks
Snowflake
Java
TypeScript
ADS-B

Benefits

401(k)
401(k) matching
Dental insurance
Flexible schedule
Flexible spending account
Health insurance
Paid time off
Referral program
Vision insurance

Our Interview Process

SEI believes the interview process should be personal and authentic, and does not use AI to conduct interviews.
Selected candidates will meet directly with Project Engineers and Hiring Managers in a live online interview to assess qualifications, experience, and potential fit within the data science team and culture.
To support a fair and equitable evaluation process, candidates are asked not to use AI tools or other assistance during interviews.
Evaluation focuses on each candidate’s own knowledge, skills, experience, and problem-solving abilities.

Eligibility Requirements

Successful completion of a U.S. Federal Government public trust security process is required, including fingerprinting, a government-conducted background investigation, and other required screenings.
Due to the FAA contract, applicants must be a U.S. citizen or lawful permanent resident and eligible to satisfy applicable U.S. Federal Government suitability and security requirements.
SEI is unable to provide employment visa sponsorship for this position.
Individuals working under or requiring temporary employment authorization, including F-1 CPT, OPT, or STEM OPT, are not eligible.

Pay: USD 104,000 - 130,000 per year

Work Location: Remote (remote)

Education: Master’s degree

Experience: 6+ years

Lead Data Engineer