Data Engineer - Intermediate

We are looking for a mid-level Data Engineer to design, build, and maintain reliable data pipelines
that power analytics and operational systems under the Cyber domain. The ideal candidate has hands-on experience with streaming data pipelines and cyber exposure, plus a knack for high performance computing and optimizations.

Responsibilities/Tasks:

• Design, build, and maintain batch and streaming data pipelines.
• Develop and optimize data ingestion and transformation workflows.
• Work with columnar storage formats such as Parquet and similar data formats.
• Ensure data quality, observability, and fault tolerance across pipelines.

Required Skills:

• 36 years of experience in data engineering or related roles.
• Experience with streaming data pipelines and distributed data systems.
• Familiarity with Parquet and columnar data formats.
• Experience with programming (Python, Go, or similar backend languages).
• Experience with data platforms such as Kafka, Spark, or similar streaming frameworks.
• Solid understanding of data modeling, performance optimization, and pipeline reliability.

Preferred Skills:

• Cybersecurity exposure and/or experience
• Experience with object storage data lakes and modern data architectures.
• Familiarity with Elasticsearch, and event-driven architectures.

Education/Certifications:

• Minimum Bachelors in Computer Science
• Masters preferred

Behaviors/Values:

We have created a fantastic corporate culture our values drive our behaviors. Here are the expectations:

• Act with integrity and communicate honestly and openly.
• Passion for excellence and customer service.
• Must be a driven, self-motivated individual who is curious and eager to learn.
• You take full accountability for all your actions and the results.
• You respect others and demonstrate fair treatment to all.