Data Research Engineer

Sentra

. Research, design and ship new classification capabilities expanding coverage of sensitive data types .

Posted 11/1/2026full-timeTel Aviv • IsraelMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, machine learning engineering, and building data pipelines, with a strong focus on classification capabilities and model evaluation. Proficient in Python, SQL, and regular expressions, with experience in cloud environments and cybersecurity domains.

Highest-signal resume keywords

Data AnalysisMachine Learning EngineeringPython ProgrammingRegular ExpressionsData Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine LearningRegular ExpressionsModel EvaluationData Pipeline DevelopmentETL ProcessesNLP Model Fine-TuningStatistical AnalysisExperiment DesignCloud Environments

Soft Skills

Problem SolvingProactive MindsetCan-Do AttitudeSelf-Starter

Tools & Technologies

PythonSQLSparkAirflowDagsterAWSAzureGCPGitCI/CD

Industry Keywords

B2B SaaSCybersecurityData ClassificationDSPMDLP

Tech Stack

Tools & technologies

AirflowAWSAzureCloudCyber SecurityETLGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact

Research, design and ship new classification capabilities expanding coverage of sensitive data types
Own the end-to-end process from research and experiments through production deployment
Evaluate and tune regex, dictionary, fine-tuned NER and text classification models
Build ground truth sets, measure precision and recall, identify root causes of false positives and false negatives, and fix them
Build automated evaluation and benchmark workflows to compare classifier versions and catch quality regressions
Design, build and maintain data pipelines and dashboards tracking classification quality and product performance
Deliver actionable insights to stakeholders at all levels
Support proofs of concept and customers with deep classification analysis
Convert customer feedback into product improvements
Participate in R&D Data team discussions about Sentra’s AI research objectives, priorities and solutions

Requirements

What you’ll need

3+ years of hands-on experience in data analysis, data science or ML engineering in a B2B SaaS company
Proficiency with Python and SQL; experience with Spark or similar technologies
Strong regular expressions skills: write, test and tune patterns, and explain their false positive behavior
Experience designing experiments and measuring model quality (precision, recall, error analysis)
Experience building and maintaining data pipelines, ETL processes, and workflow orchestration tools (Airflow, Dagster, or similar)
Degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics
Understanding of software development best practices (Git, CI/CD, testing)
Can-do attitude, problem solving skills, self-starter, proactive mindset
Previous experience in the cybersecurity domain (DSPM, DLP, data classification) is an advantage
Experience with cloud environments (AWS, Azure, GCP) is an advantage
Experience fine-tuning NLP models (for example NER or text classification) or using LLMs in daily work is an advantage

Benefits

Comp & perks

Remote/hybrid work arrangement
Work in a fast-growing start-up with a strong founding team