Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
The Entry Level Software Engineer - Data role at Obsidian Security involves building high-quality data products to support the company's threat detection and posture management solutions for SaaS applications.
Responsibilities and impact
The candidate will participate in the engineering life cycle by building data abstractions and transformations, writing production code, and developing batch and real-time analytical pipelines for ML-based threat detection models.
Experience and skills
Required qualifications include strong algorithmic skills, experience with data processing systems, proficiency in Python and SQL, a BS/MS in Computer Science or a quantitative discipline, and 1-2 years of industry experience building data products; experience with dbt, Spark, or DuckDB is preferred.
Company information
Obsidian Security specializes in threat detection and posture management for business-critical SaaS applications.
Company overview
Jobright.ai is a technology company focused on leveraging artificial intelligence to streamline and enhance the job search and recruitment process for both candidates and employers. The company generates revenue primarily through subscription-based services and partnerships with organizations seeking to optimize hiring, offering tools such as AI-powered resume analysis, job matching, and interview preparation. Founded to address inefficiencies in traditional recruitment, Jobright.ai has positioned itself as an innovator in the HR tech space, emphasizing automation and data-driven insights. Notable milestones include the launch of its proprietary AI algorithms and collaborations with major job boards and corporate clients. Candidates should be aware of Jobright.ai’s commitment to ethical AI practices and its rapidly evolving product suite.
How to land this job
Tailor your resume to emphasize your strong algorithmic skills and experience with Python and SQL, highlighting any projects or roles where you built high-quality data products or worked on data processing systems.
Focus on showcasing your ability to develop and maintain analytical pipelines, especially if you have experience with batch or real-time data transformations, and mention any familiarity with tools like dbt, Spark, or DuckDB as a plus.
Apply through multiple channels including Jobright.ai's corporate career page and LinkedIn to maximize your application visibility and ensure you don't miss any openings or updates.
Connect with current employees in the data engineering or software engineering teams at Jobright.ai on LinkedIn; start conversations with ice breakers like asking about their experience working on ML-based threat detection models or recent projects involving data abstractions.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data abstractions,' 'data transformations,' 'Python,' 'SQL,' and 'analytical pipelines' to pass automated screenings effectively.
Utilize Jennie Johnson's Power Apply feature to automate tailoring your resume, identify the best application channels, and find relevant LinkedIn contacts, allowing you to focus your time on preparation and interviews.
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