Reality Defender

Data Engineer

Rol remoto de Data Engineer con fit claro de ubicación del candidato.

Publicado24 jul 2026

Países elegibles1 país aceptado

Señal de seniorityMiddle

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

Estados Unidos

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

Design, build, and operate large-scale data processing pipelines handling multi-terabyte and streaming datasets, including audio/video transcoding, feature extraction, and preprocessing workflows.
Deploy, scale, and troubleshoot containerized workloads on Kubernetes and AWS in production environments.
Build and maintain distributed data processing jobs using frameworks such as Spark and Ray.
Design and operate workflow orchestration systems (e.g., Airflow) with dependency management, retries, monitoring, and alerting for production pipelines.
Administer and tune enterprise databases, including performance tuning, backup/recovery, access control, and scaling strategies.
Partner with ML engineers and researchers to support training pipelines, model retraining triggers, feature stores, and other MLOps workflows.

Hands-on experience with Kubernetes and AWS, including deploying, scaling, and troubleshooting containerized workloads in production environments.
Proficiency with high-performance/distributed computing frameworks such as Spark and Ray for processing large-scale datasets.
Experience with workflow orchestration tools such as Airflow (or comparable systems like Dagster, Prefect, or Luigi) to schedule and manage complex data pipelines.
Strong programming skills in Python and SQL; experience with Golang is a plus.
Demonstrated track record building and operating large-scale data processing pipelines, ideally handling multi-terabyte or streaming datasets.
Experience working with audio or video data at scale is a strong plus (e.g., transcoding, feature extraction, or preprocessing pipelines).
Familiarity with common data transformation patterns applied to large datasets (ETL/ELT, batch and stream processing, data validation and quality checks).
Experience designing and maintaining job orchestration systems, including dependency management, retries, monitoring, and alerting for production pipelines.
Bonus: experience orchestrating machine learning workflows (training pipelines, model retraining triggers, feature stores, or MLOps tooling).

Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents
Dental and Vision plans with 100% premium coverage for employees and their dependents
Short/Long-term disability and life insurance plans with 100% premium coverage for employees
FSA/HSA and 401k programs
Equity compensation
20 days of PTO per year
12 weeks of Parental Leave
Learning and Development budget
Monthly wellness benefits
Annual company-sponsored offsite