Data Engineer
About The Position
Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes. Youtube: Reality Defender Wins RSA Most Innovative Startup The Data Engineer Role. We're looking for a Data Engineer who can build and scale the infrastructure powering our data platform, with a strong foundation in distributed systems and cloud-native tooling. You'll design and operate the pipelines that move, process, and prepare multi-terabyte and streaming datasets — including audio and video — for Reality Defender's detection models, and you'll work closely with ML engineers and researchers to keep that data flowing reliably at scale.
Requirements
- 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.
- 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.
Nice To Haves
- Experience working with audio or video data at scale is a strong plus (e.g., transcoding, feature extraction, or preprocessing pipelines).
- Bonus: experience orchestrating machine learning workflows (training pipelines, model retraining triggers, feature stores, or MLOps tooling).
Responsibilities
- 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.
Benefits
- 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
- Daily in-office lunch through UberEats
- Commuter benefits
- Remote Fridays
- Happy Hours and other local events
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
