Associate Data Engineer

BeyondTrust

. Contribute to data modeling for identity security use cases and analytical requirements .

Posted 10/23/2026full-timeRemote • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data modeling, data pipeline development, and optimization for identity security use cases. Proficient in cloud data processing, distributed systems, and machine learning operations to enhance data efficiency and performance.

Highest-signal resume keywords

Data Pipeline DevelopmentSpark ExperiencePython ProficiencyDistributed Systems KnowledgeData Warehousing for Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData ProcessingMachine Learning OperationsCI/CD PracticesRealtime ProcessingDistributed Processing FrameworkData StructuresObject-Oriented ProgrammingProcess ImprovementMonitoring and Observability

Soft Skills

Fast LearnerCollaborative WorkAutonomous Work

Tools & Technologies

DatabricksCloud Data ProcessingBeyondTrust Data LakeGraph Data Stores

Industry Keywords

Identity SecurityCybersecurityData WarehousingAnalytics Use Cases

Tech Stack

Tools & technologies

CloudCyber SecurityDistributed SystemsPythonSpark

About the role

Key responsibilities & impact

Contribute to data modeling for identity security use cases and analytical requirements
Develop and maintain data pipelines integrating complex information from disparate systems into the data lake
Optimize data workloads and improve processing efficiency
Identify process improvement opportunities with senior engineers and help implement solutions
Apply monitoring and observability practices to ensure pipeline performance
Assist with ML Operations to optimize model efficiency
Use CI/CD practices to develop and release source code
Participate in code reviews and collaborate with team members to improve engineering practices
Build and enhance BeyondTrust's data lake, which processes billions of events daily
Maintain and optimize existing infrastructure and build new data assets

Requirements

What you’ll need

Programming and technology knowledge in cloud data processing
Spark experience needed; Databricks knowledge is a plus
Ability to learn fast and strong desire to develop
Interest in cybersecurity; identity security interest preferred
Understanding of software engineering principles, data structures, and distributed data processing concepts
Experience working with distributed systems and data processing on object stores
Ability to work autonomously and collaboratively
Experience with data warehousing for analytics use cases
Proficiency in Python or another object-oriented language
Distributed processing framework experience
Realtime processing experience highly preferred
Some experience with graph data stores ideal

Benefits

Comp & perks

Culture of flexibility, trust, and continual learning
Recognition for employee growth and impact
Diverse and inclusive workplace culture