Dune Security
Company Overview:
Dune Security’s User Adaptive Risk Management solution proactively prevents insider threats and social engineering by simulating multi-channel attacks, scoring user risk, and adapting training and controls in real time. Powered by AI, we quantify employee risk with comprehensive data and automatically deliver user‑adaptive training and intervention. For higher‑risk users, our platform integrates seamlessly with the broader security stack to dynamically implement controls. Backed by Craft Ventures, Toba Capital, Alumni Ventures, Firestreak Ventures, and Antler, we empower CISOs to proactively manage human risk—the leading cause of cybersecurity breaches—and build safer, more resilient organizations.
Role Overview
Dune Security is seeking a Data Engineer to design and scale the data infrastructure that powers our real‑time cybersecurity platform. In this role, you’ll help build and maintain secure, reliable data pipelines and storage systems that enable adaptive risk modelling, AI‑powered insights, and seamless integrations. Reporting directly to the VP of Engineering, you’ll join a high‑impact team driving core engineering decisions at the intersection of security, data, and enterprise operations. You’ll play a key role in powering the data infrastructure that drives Dune’s user‑adaptive risk modelling, enabling proactive defence against insider threats and social engineering across global enterprises.
Key Responsibilities
Propose and execute an SLA/SLO of 99.95%+ , data and signal strategies for storage, retrieval, visualisation, and utilisation 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 optimise cloud‑based data lakes and warehouses
(e.g., S3, Delta Lake, Snowflake, BigQuery) for telemetry, user behaviour, 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/tokenisation 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.
Qualifications
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 visualisation).
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.
What You’ll Bring
You’re a thoughtful and pragmatic engineer who thrives on building systems that turn messy, distributed data into clean, actionable intelligence. You value clarity, resilience, and security in every step of the data lifecycle. Comfortable across tools and teams, you bring curiosity, autonomy, and a commitment to engineering excellence. At Dune Security, you’ll have the chance to shape critical data infrastructure that protects people and organisations from today’s most sophisticated cyber threats.
Why Join Dune Security?
Join a fast‑growing cybersecurity startup backed by top‑tier investors and led by a mission to tackle the user side of cyber risk.
Play a hands‑on role in building and scaling our engineering team, with direct impact on our technology, culture, and success.
Receive a competitive compensation package, including salary, equity, and comprehensive benefits.
Do purpose‑driven work that helps enterprises proactively reduce insider threats and social engineering attacks.
Location : While we support remote work for this role, our preference is for candidates based in New York City. We offer a state‑of‑the‑art office in Tribeca, where >95% of our team collaborates in person throughout the week, fostering a vibrant and cohesive work environment.
Hours : Full time.
Referrals increase your chances of interviewing at Dune Security by 2x
Note: Dune Security is an equal opportunity employer and values diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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Dune Security’s User Adaptive Risk Management solution proactively prevents insider threats and social engineering by simulating multi-channel attacks, scoring user risk, and adapting training and controls in real time. Powered by AI, we quantify employee risk with comprehensive data and automatically deliver user‑adaptive training and intervention. For higher‑risk users, our platform integrates seamlessly with the broader security stack to dynamically implement controls. Backed by Craft Ventures, Toba Capital, Alumni Ventures, Firestreak Ventures, and Antler, we empower CISOs to proactively manage human risk—the leading cause of cybersecurity breaches—and build safer, more resilient organizations.
Role Overview
Dune Security is seeking a Data Engineer to design and scale the data infrastructure that powers our real‑time cybersecurity platform. In this role, you’ll help build and maintain secure, reliable data pipelines and storage systems that enable adaptive risk modelling, AI‑powered insights, and seamless integrations. Reporting directly to the VP of Engineering, you’ll join a high‑impact team driving core engineering decisions at the intersection of security, data, and enterprise operations. You’ll play a key role in powering the data infrastructure that drives Dune’s user‑adaptive risk modelling, enabling proactive defence against insider threats and social engineering across global enterprises.
Key Responsibilities
Propose and execute an SLA/SLO of 99.95%+ , data and signal strategies for storage, retrieval, visualisation, and utilisation 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 optimise cloud‑based data lakes and warehouses
(e.g., S3, Delta Lake, Snowflake, BigQuery) for telemetry, user behaviour, 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/tokenisation 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.
Qualifications
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 visualisation).
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.
What You’ll Bring
You’re a thoughtful and pragmatic engineer who thrives on building systems that turn messy, distributed data into clean, actionable intelligence. You value clarity, resilience, and security in every step of the data lifecycle. Comfortable across tools and teams, you bring curiosity, autonomy, and a commitment to engineering excellence. At Dune Security, you’ll have the chance to shape critical data infrastructure that protects people and organisations from today’s most sophisticated cyber threats.
Why Join Dune Security?
Join a fast‑growing cybersecurity startup backed by top‑tier investors and led by a mission to tackle the user side of cyber risk.
Play a hands‑on role in building and scaling our engineering team, with direct impact on our technology, culture, and success.
Receive a competitive compensation package, including salary, equity, and comprehensive benefits.
Do purpose‑driven work that helps enterprises proactively reduce insider threats and social engineering attacks.
Location : While we support remote work for this role, our preference is for candidates based in New York City. We offer a state‑of‑the‑art office in Tribeca, where >95% of our team collaborates in person throughout the week, fostering a vibrant and cohesive work environment.
Hours : Full time.
Referrals increase your chances of interviewing at Dune Security by 2x
Note: Dune Security is an equal opportunity employer and values diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
#J-18808-Ljbffr