Senior Data Engineer - Data Pipelines for ML & Security

Fortra; United States; Remote; USD 120.000 - 190.000; Vollzeit

Benefits dieser Stelle

Competitive benefits

Professional development opportunities

Flexible working arrangements

Zusammenfassung

Fortra is seeking a Senior Data Engineer to own the design, development, and operation of scalable data pipelines and datasets powering cybersecurity and ML products. You will collaborate with Data Scientists, ML Engineers, and Product Managers to ensure high-quality data for experimentation and production workflows.

You will lead complex data engineering projects, manage ETL processes end-to-end, and implement quality checks, monitoring, and CI/CD practices to ensure reliability and governance

Qualifikationen

• 7+ years in data or software engineering with 3+ years in production data pipelines.
• Strong Python and SQL; write maintainable, tested code.
• Experience designing reliable ETL pipelines for large datasets.
• AWS experience with S3, PostgreSQL, MongoDB.

Aufgaben

• Own design, development, and operation of data pipelines and datasets for cybersecurity and ML products.
• Lead data engineering projects with independence and drive.
• Manage ETL processes including ingestion, retries, and backfills.
• Ensure data quality via automated validation, deduplication, and checks.
• Implement monitoring, testing, and CI/CD with ML engineers for reliability.
• Collaborate with data scientists to build high-quality datasets for models.
• Develop ontologies for KG applications and expand taxonomies with product managers.
• Address data governance and regulatory compliance and produce dashboards for insights.
• Support AI/ML tool integration into security workflows.

Tools

Docker

Kubernetes

Git

CI/CD

MLflow

ArgoCD

Jenkins

AWS S3

PostgreSQL

MongoDB

Jobbeschreibung

Fortra is seeking a Senior Data Engineer to own the design, development, and operation of scalable data pipelines and datasets powering cybersecurity and ML products. You will collaborate with Data Scientists, ML Engineers, and Product Managers to ensure high-quality data for experimentation and production workflows.

You will lead complex data engineering projects, manage ETL processes end-to-end, and implement quality checks, monitoring, and CI/CD practices to ensure reliability and governance