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Dune Security · 16 hours ago

Data Engineer

Dune Security is a cybersecurity startup focused on user adaptive risk management solutions. The Data Engineer will design and scale the data infrastructure for their real-time cybersecurity platform, building and maintaining secure data pipelines and storage systems to enable adaptive risk modeling and AI-powered insights.

Artificial Intelligence (AI)Cyber SecurityInformation TechnologySecurity
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H1B Sponsor Likelynote
Hiring Manager
David DellaPelle
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Responsibilities

Propose and execute an SLA/SLO of 99.95%+ , data and signal strategies for storage, retrieval, visualization, and utilization of data for business and technical objectives
Design and implement robust ETL/ELT and AI/ML pipelines for both batch and streaming data, using orchestration tools like Airflow, Dagster, or Prefect
Develop and optimize cloud-based data lakes and warehouses (e.g., S3, Delta Lake, Snowflake, BigQuery) for telemetry, user behavior, and system logs
Build secure, scalable data integrations with internal microservices and external platforms (SIEMs, IDPs, ITSM tools) using REST, GraphQL, and SCIM APIs
Ensure data reliability, observability, and compliance by implementing data validation, schema enforcement, monitoring, and access controls
Build real-time data , business, technical analytics dashboards, and streaming infrastructure
Build pre-processed, sync, async, plaintext versus encrypted data features used for high QPS,low latency secure analysis
Collaborate closely with backend, integration, and ML engineers to align data architecture with platform goals, risk models, and customer insights
Contribute to infrastructure-as-code practices using Terraform and CI/CD pipelines for data environments and new AI approaches
Maintain and evolve RBAC/ABAC controls , data masking/tokenization pipelines, and audit trails in accordance with frameworks like SOC 2, GDPR, and CCPA
Document data flows, transformations, and architecture to support internal cross-functional teams and external compliance
Stay current with data engineering trends to bring innovation in scalability, performance, and security. Evaluate new tools and technology

Qualification

Data engineeringCloud storage solutionsETL/ELT workflowsData orchestration toolsPythonSQLAPIs RESTAPIs GraphQLData securityCollaborationProblem-solving

Required

BS degree in Computer Science, Engineering or equivalent
3–6 years of experience in data engineering, backend engineering, or similar roles
Proficiency in Python, Go, SQL languages and distributed technology in Cloud, Spark, Flink, Redis, Kafka, Kinesis, Pulsar, Beam, Snowflake, BigQuery, Redshift, DataBricks, Terraform or equivalent
Experience designing and operating cloud-native data storage solutions (e.g., S3, Snowflake, Delta Lake), data warehouses, and data lakes
Hands-on experience with data orchestration tools (e.g., Airflow, Prefect, Dagster), microservices software architecture and engineering (e.g. Docker, Mesh, etc.)
Strong understanding of data security, governance, and compliance best practices
Proven ability to design and scale reliable ETL/ELT workflows
Comfortable working with APIs (REST, GraphQL), secrets management, and cloud infra (preferably AWS)
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Preferred

Ph.D. or Masters in Computer Science, Artificial Intelligence/Machine Learning, or equivalent
Experienced with advanced data science, data mining, data and signal models and architectures such as Video, Image, Audio, LLM, and Deep Learning which operate with more advanced software architectures such as Geo-Replicated Edge, Mesh Microservices, Self-Healing, etc. in both the platform backend and frontend (e.g. custom visualization)
Experience integrating with cybersecurity platforms (e.g., Sentinel, CrowdStrike, Okta)
Background in compliance-heavy environments (SOC 2, HIPAA, GDPR, etc.)
Experience working in fast-paced startups or high-growth teams

Benefits

Competitive compensation package, including salary, equity, and comprehensive benefits

Company

Dune Security

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Dune Security's AI quantifies user risk, delivering adaptive training and dynamic, integrated controls for proactive remediation.

H1B Sponsorship

Dune Security has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)

Funding

Current Stage
Growth Stage
Total Funding
$8M
Key Investors
Toba CapitalCraft VenturesAntler
2025-01-29Seed· $6M
2024-04-22Pre Seed· $2M
2023-09-29Pre Seed

Leadership Team

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David DellaPelle
Co-Founder and CEO
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Michael Waite
Co-Founder and CTO
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Company data provided by crunchbase