Bi & Data Analyst jobs at Cognyte in Israel

Today’s world is crime riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

We’re looking for a skilled and driven

As Cognyter you’ll make an impact on:

• Design and develop real-time and batch data pipelines using modern frameworks and distributed systems.
• Build robust, scalable, and fault-tolerant ETL workflows to handle high-volume structured and unstructured data.
• Model and maintain efficient, query-optimized data structures across SQL, NoSQL, and search engines.
• Collaborate with customers, field engineers, and delivery teams to deploy and support data systems in real environments — both cloud-based and on-premise.
• Own and maintain the reliability, observability, and performance of data flows and infrastructure.
• Stay up to date with data engineering trends and recommend best-fit solutions for evolving business needs.

For that mission you’ll need:

• 5+ years of hands-on experience in Java or Python in data engineering or backend systems.
• Solid knowledge of Docker, Kubernetes, and containerized architecture.
• Strong understanding of multithreaded, concurrent, and distributed system design.
• Experience building and orchestrating ETL pipelines using tools like Airflow, Apache NiFi, or similar.
• Expertise in data modeling, both for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
• Experience with search engines like ElasticSearch and/or graph databases.
• Proficiency with streaming platforms like Kafka, Flink, or Spark Streaming.
• Understanding of pipeline observability and data quality best practices.
• Excellent communication and problem-solving skills, especially in customer-facing or cross-team contexts.
• Fluency in spoken and written English.

Bonus Points For

• Experience with real-time event processing at scale.
• Previous work in data architecture, including data lake design, schema evolution, and partitioning strategies.
• Proven experience managing and deploying on-premise data infrastructure (Kafka, Elasticsearch, Airflow, NiFi, etc.).
• Familiarity with hybrid setups that integrate cloud and on-prem environments.
• Industry knowledge in cybersecurity, telecom, or other data-heavy domains.
• Background in consulting, customer support, or solution delivery roles.

Availability

• Must be available for at least one flight per 2 months to collaborate with customers on-site.

Apply now.

Today’s world is crime riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

We’re looking for a skilled and driven

As Cognyter you’ll make an impact on:

• Design and develop real-time and batch data pipelines using modern frameworks and distributed systems.
• Build robust, scalable, and fault-tolerant ETL workflows to handle high-volume structured and unstructured data.
• Model and maintain efficient, query-optimized data structures across SQL, NoSQL, and search engines.
• Collaborate with customers, field engineers, and delivery teams to deploy and support data systems in real environments — both cloud-based and on-premise.
• Own and maintain the reliability, observability, and performance of data flows and infrastructure.
• Stay up to date with data engineering trends and recommend best-fit solutions for evolving business needs.

For that mission you’ll need:

• 5+ years of hands-on experience in Java or Python in data engineering or backend systems.
• Solid knowledge of Docker, Kubernetes, and containerized architecture.
• Strong understanding of multithreaded, concurrent, and distributed system design.
• Experience building and orchestrating ETL pipelines using tools like Airflow, Apache NiFi, or similar.
• Expertise in data modeling, both for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
• Experience with search engines like ElasticSearch and/or graph databases.
• Proficiency with streaming platforms like Kafka, Flink, or Spark Streaming.
• Understanding of pipeline observability and data quality best practices.
• Excellent communication and problem-solving skills, especially in customer-facing or cross-team contexts.
• Fluency in spoken and written English.

Bonus Points For

• Experience with real-time event processing at scale.
• Previous work in data architecture, including data lake design, schema evolution, and partitioning strategies.
• Proven experience managing and deploying on-premise data infrastructure (Kafka, Elasticsearch, Airflow, NiFi, etc.).
• Familiarity with hybrid setups that integrate cloud and on-prem environments.
• Industry knowledge in cybersecurity, telecom, or other data-heavy domains.
• Background in consulting, customer support, or solution delivery roles.

Availability

• Must be available for at least one flight per 2 months to collaborate with customers on-site.

Apply now.

Today’s world is crime riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

We’re looking for a skilled and driven

As Cognyter you’ll make an impact on:

• Design and develop real-time and batch data pipelines using modern frameworks and distributed systems.
• Build robust, scalable, and fault-tolerant ETL workflows to handle high-volume structured and unstructured data.
• Model and maintain efficient, query-optimized data structures across SQL, NoSQL, and search engines.
• Collaborate with customers, field engineers, and delivery teams to deploy and support data systems in real environments — both cloud-based and on-premise.
• Own and maintain the reliability, observability, and performance of data flows and infrastructure.
• Stay up to date with data engineering trends and recommend best-fit solutions for evolving business needs.

For that mission you’ll need:

• 5+ years of hands-on experience in Java or Python in data engineering or backend systems.
• Solid knowledge of Docker, Kubernetes, and containerized architecture.
• Strong understanding of multithreaded, concurrent, and distributed system design.
• Experience building and orchestrating ETL pipelines using tools like Airflow, Apache NiFi, or similar.
• Expertise in data modeling, both for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
• Experience with search engines like ElasticSearch and/or graph databases.
• Proficiency with streaming platforms like Kafka, Flink, or Spark Streaming.
• Understanding of pipeline observability and data quality best practices.
• Excellent communication and problem-solving skills, especially in customer-facing or cross-team contexts.
• Fluency in spoken and written English.

Bonus Points For

• Experience with real-time event processing at scale.
• Previous work in data architecture, including data lake design, schema evolution, and partitioning strategies.
• Proven experience managing and deploying on-premise data infrastructure (Kafka, Elasticsearch, Airflow, NiFi, etc.).
• Familiarity with hybrid setups that integrate cloud and on-prem environments.
• Industry knowledge in cybersecurity, telecom, or other data-heavy domains.
• Background in consulting, customer support, or solution delivery roles.

Availability

• Must be available for at least one flight per 2 months to collaborate with customers on-site.

Apply now.

As a Cognyter, you will:

- Define the technical vision and strategy for leveraging large language models (LLMs) and advanced ML techniques to enhance our product.

- Oversee the end-to-end ML lifecycle, from experimentation and prototyping to deployment, monitoring, and optimization.

- Contribute hands-on when needed, designing experiments, writing reusable code, evaluating models, and interpreting results.

- Take an active leadership role in agile processes, design reviews, brainstorming sessions, and knowledge-sharing forums.

To succeed in this role, you will need:

- An M.Sc. or higher in Computer Science, Mathematics, Engineering, or a related field.

- 4+ years of hands-on experience building and deploying ML solutions.

- 2+ years of proven leadership experience managing and growing high-performing data science or ML teams.

- Strong expertise in Large Language Models (LLMs) and Generative AI.

- Deep experience with ML pipelines, including training, tuning, deployment, monitoring, and model versioning.

- Knowledge of optimization techniques such as quantization, pruning, and performance tuning.

- Familiarity with GenAI tools and frameworks: LangChain, RAG, vector databases, transformers, vLLM.

- Excellent communication skills with the ability to influence, inspire, and align stakeholders.

Apply now.

Today’s world is crime riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

We’re looking for a skilled and driven

As Cognyter you’ll make an impact on:

• Design and develop real-time and batch data pipelines using modern frameworks and distributed systems.
• Build robust, scalable, and fault-tolerant ETL workflows to handle high-volume structured and unstructured data.
• Model and maintain efficient, query-optimized data structures across SQL, NoSQL, and search engines.
• Collaborate with customers, field engineers, and delivery teams to deploy and support data systems in real environments — both cloud-based and on-premise.
• Own and maintain the reliability, observability, and performance of data flows and infrastructure.
• Stay up to date with data engineering trends and recommend best-fit solutions for evolving business needs.

For that mission you’ll need:

• 5+ years of hands-on experience in Java or Python in data engineering or backend systems.
• Solid knowledge of Docker, Kubernetes, and containerized architecture.
• Strong understanding of multithreaded, concurrent, and distributed system design.
• Experience building and orchestrating ETL pipelines using tools like Airflow, Apache NiFi, or similar.
• Expertise in data modeling, both for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
• Experience with search engines like ElasticSearch and/or graph databases.
• Proficiency with streaming platforms like Kafka, Flink, or Spark Streaming.
• Understanding of pipeline observability and data quality best practices.
• Excellent communication and problem-solving skills, especially in customer-facing or cross-team contexts.
• Fluency in spoken and written English.

Bonus Points For

• Experience with real-time event processing at scale.
• Previous work in data architecture, including data lake design, schema evolution, and partitioning strategies.
• Proven experience managing and deploying on-premise data infrastructure (Kafka, Elasticsearch, Airflow, NiFi, etc.).
• Familiarity with hybrid setups that integrate cloud and on-prem environments.
• Industry knowledge in cybersecurity, telecom, or other data-heavy domains.
• Background in consulting, customer support, or solution delivery roles.

Availability

• Must be available for at least one flight per 2 months to collaborate with customers on-site.

Apply now.

Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

As a Cognyter Pre-Sale Manager, you will:

• Lead solutions/presale activities for innovative Big Data & Fusion Analytics platform for the Security, Public Sector, Civil, Financial and Critical Utilities segments
• Manage customer-facing activities, including commercial and technical sessions, product demonstrations and presentations
• Provide input and assisting account managers on all commercial and technical components related to accounts
• Support sales enablement, product presentations and POCs for prospects, customers, and distributors.
• Lead the RFx response team throughout the sales cycle, including requirements mapping, high-level solution design, solution sizing, budget, and pricing strategy.

For that mission you’ll need:

• 5+ years’ experience as presale/solution engineer in a global high-tech company - advantage
• Ability to work independently as customers technical/presale key focal point, while promoting company goals
• Excellent English communication and presentation skills
• Proven public speaking skills, capable of delivering technical presentations to both technical and executive audiences
• The position requires frequent travel in the associated territory (50% of the time)
• Good business orientation, understanding company goals and striving to achieve them
• Russian - Must

Preferred Skills and Experience:

• Background in intelligence technologies and methodologies
• Background in Big Data, Machine Learning, Fusion Analytics

Apply now.

Traditional ways to prevent and investigate crime and terror are no longer enough… Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

For nearly 30 years, the incredible minds at
Cognyte

This is a high-profile, client-facing position where you will serve as a trusted advisor to our customer base and develop long-term relationships.

As a Cognyter you will:

• Manage complex cוustomer relationships throughout the entire post-sales cycle, including onboarding, adoption, and renewal phases.
• Collaborate cross-functionally with sales, support, and product teams to ensure alignment and enhancements on customers’ needs and priorities to deliver exceptional experiences throughout their journey.
• Monitor Customers' health metrics, identify potential risks or issues, and develop strategies to mitigate them
• Drive customer retention and growth by aligning with their business objectives and ensuring successful product adoption through training, best practices and ongoing product driven sessions.
• Maintain a high level of proactive communication to identify opportunities for deeper engagement, while monitoring KPIs to ensure customer satisfaction and value maximization.
• Act as an advocate for the customers within the company, advocating for their needs and driving enhancements to our products and services.

For that mission you’ll need:

• 3+ years of proven experience working as a Customer Success Manager
• Demonstrated ability in leading onboarding and renewal processes for complex products and environments
• Technical background skills with the ability to understand and effectively communication complex cybersecurity concepts
• Strong problem-solving skills
• Highly organized with the ability to multitask effectively
• Willingness to travel up to 30% of the time, with previous experience working globally with large, B2B customers, including C-level executives, preferably in the government sector.
• Excellent English and Spanish proficiency and exceptional verbal and written communication skills, combined with outstanding presentation skills suitable for both technical and non-technical audiences.
• Sales experience, preferably with renewals and upsells
• Highly organized with the ability to multitask effectively
• Willingness to travel up to 50% of the time, with previous experience working globally with large, B2B customers, including C-level executives, preferably in the government sector

Apply now.