Senior Data Engineer

About us

At Softbinator Technologies , we’re driven by innovation and excellence. As an engineer here, you’ll be working on high-impact projects that challenge the status quo and push the boundaries of technology. This is a place where you’ll tackle real-world problems , collaborate with exceptionally talented engineers , and build cutting-edge solutions that have a tangible impact.

Joining Softbinator means not only shaping the future of technology but also working closely with top-tier, innovative companies worldwide . You'll have the opportunity to contribute to groundbreaking projects with global reach .

What we are looking for

We’re seeking a highly skilled and motivated Senior Data Engineer with Python with 5+ years of experience, who is passionate about data engineering, API development, and building scalable infrastructure. In this role, you'll help us develop high-performance systems that power critical security workflows and insights.

At the core of our mission is the use of cutting-edge technologies—including AI for deduplication, contextual enrichment, and identifying root causes of vulnerabilities . You’ll contribute to building software that enables security teams to anticipate, prioritize, and proactively mitigate threats before they can be exploited.

This position is ideal for someone who thrives in data-rich environments, has a strong command of Python and cloud-based systems, and is driven to build solutions that have a tangible impact in cybersecurity.

With these skills, you are our perfect match

• 5+ years of experience as a Software Engineer or similar role, with a focus on building data pipelines and infrastructure.
• Hands-on experience in Python programming and familiarity with data processing libraries such as Pydantic , Pandas , NumPy , and frameworks like FastAPI .
• 3+ years of experience with MongoDB and handling large datasets (terabyte scale).
• Strong understanding of database systems , with experience in designing and optimizing queries.
• Hands-on experience with cloud platforms , particularly AWS , and familiarity with services such as S3 , ECS , and SQS .
• Experience working with large-scale distributed systems and parallel processing frameworks.
• Experience with Redis and Spark .
• Familiarity with parallel processing frameworks .
• Knowledge of data security best practices .
• Solid understanding of data modeling concepts and techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills , with the ability to work effectively in a team environment.

How you’ll drive success