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we curate and contextualize data from hundreds of security and business tools to help companies understand and address their riskiest problems. Our robust data platform and strong security modules provide immediate and secure benefits to our customers. If you're passionate about data and helping companies improve their security posture, we'd love to have you join our company as we make the world a more secure place.

We're looking for an experienced Senior Data Engineer to join our AEM team. Reporting to the Manager, Software Engineering, you'll be responsible for:

Designing, developing, and supporting new requirements from Product and from Research
Building, deploying and maintaining data infrastructure and pipelines
Building automated validation processes to ensure data integrity
Leading data investigations and escalations with other teams
Writing clear documentation

We are a fast-growing global medical device company, developing and manufacturing innovative drug delivery and infusion solutions across the continuum of care - from the hospital to the home. We are looking for an excellent data Engineer to join the winning team!
Job Description
We are looking to hire a highly skilled and experienced professional to fill the role of data Engineer. In this role, you will design, build, and maintain the data infrastructure that powers analytics, product innovation, and business decision-making across the organization. You will work closely with data scientists, data analysts, software engineers, product managers, and other teams to ensure reliable, secure and scalable access to data. We are seeking a detail-oriented professional with strong problem-solving skills, a passion for working with complex real-world data, and the drive to contribute to meaningful innovations in healthcare. We are looking for someone who is self-driven, brings a can-do spirit, and thrives in a collaborative, fast-paced environment where teamwork and clear communication are essential. Job Responsibilities: Design, develop, and maintain scalable ETL /ELT pipelines for ingesting, processing, and storing data from multiple sources Build and optimize data warehouses, data lakes, and other Storage solutions to support analytics and Machine Learning use cases. Collaborate with data scientists and analysts to ensure datasets are clean, structured, and accessible for advanced modeling and reporting. Implement data quality monitoring, validation frameworks, and automated workflows to ensure reliability and accuracy. Integrate data from disparate systems into unified views that support business intelligence and operational efficiency. Ensure compliance with healthcare data regulations and implement security measures to safeguard company data and systems. Research and adopt best practices in data engineering, cloud-native architectures, and modern data tooling. Support the deployment of data -driven applications into production environments.

As the Senior Director of Engineering , you will lead the Agentic AI revolution within our core platform. Your primary mission is to ensure our intelligence platform is ready to power the next generation of AI agents, driving the paradigm shift from one-way campaigns to real-time, two-way conversations that maximize customer lifetime value.
Your Responsibilities Will Include:
Pioneer Agentic AI: Define the engineering vision and architecture for our autonomous AI agents, ensuring they can ingest unified marketing data, execute complex attribution, and optimize campaign spending in real-time.
Scale the Data Core: Own the design, operation, and reliability of our massively scalable, distributed data platform. Ensure seamless ingestion and processing of billions of data points from 170+ sources to build the trusted foundation for all AI initiatives.
Lead a Global R&D Team (70+): Lead and mentor an organization of approximately 70 engineers and managers globally. Cultivate a high-velocity culture defined by technical excellence, ownership, and career growth.
Drive Executive Influence: Collaborate closely with Product Management, Architects, and global leadership to translate market demands into shipping code that delivers measurable business transformation for our customers.

Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Optimize and monitor the team-related cloud costs.
Design and construct monitoring tools to ensure the efficiency and reliability of data processes.
Implement CI/CD for Data Workflows

As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

We are looking for a Senior Data Analyst to join our companys Professional Services group. As a data-driven organization, we strive for absolute transparency around our deliverables, empowering relevant teams to make informed decisions and become more productive and efficient.
How youll make an impact:
Analyze, discover, monitor and provide insights on major revenue impact issues to ensure our company Network performance and high quality.
Create, support and maintain development tools aiming to monitor and investigate our company performance, as well as find creative solutions for a variety of challenges, while facing our growing data requirements
Own and manage multiple data initiatives and projects both on an on-going and an ad-hoc basis, while using new approaches of data analytics
Analyze business data, discover root causes for data anomalies and generate actionable recommendations
Closely work with multi-disciplinary teams and stakeholders to provide insights and answer business questions.

As a Senior Data Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Senior Data Scientist, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more.

As a Staff Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
How youll make an impact:
As a Staff Algo Data Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

We are looking for a Data Scientist with deep experience in the advertising industry to join a team of passionate engineers who build advertising solutions at world scale. We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.
What will you do?
As a Senior Data Scientist, your mission will be to:
Stay on top of the state-of-the-art science and technology of large scale advertising systems
Areas of interest are models for CTR and CVR, on-line learning regimes, cold start, efficient and effective embeddings for users, ads and similar, ad matching, two tower architecture, ad match, ad ranking, etc.
Work with teams of data scientists and machine learning engineers to identify investment opportunities
Help the teams implementing the solutions - on multiple projects as an advisor and on projects you select as a part of the implementation team where you will be expected to participate in bringing new projects to production environment
Work with product managers to find data science and AI projects with best cost/benefit risk/reward ratios
Spend time experimenting with new approaches by yourself
Follow industrial and academic research, occasionally publish at conferences.

Required Senior Test Engineer & Technical Lead
You will be part of our REM department. Our Road Experience Management (REM) is an end-to-end mapping and localization engine.
Since we are dealing with a complex system based on machine learning and image processing, the analysis and validation processes require deep thinking as well as advanced technical and analytic abilities. Our analysts are responsible for running the analysis process and for providing deep analysis reports based on effective analysis of big data.
What will your job look like:
Lead and coordinate the validation of major software releases that integrate features from multiple algorithmic teams. Provide informative analysis based on clips and data review.
Manage and oversee both automated and manual validation processes, ensuring thorough data review and quality control.
Prepare clear, structured reports summarizing validation results, issues, and recommendations for technical and management stakeholders.
Plan, track, and coordinate validation projects, maintaining schedules, identifying risks, and communicating progress across departments.
Collaborate with algorithm developers, engineers, and other stakeholders to troubleshoot issues and propose improvements.
Participate in the planning and design of advanced validation processes.

as a data scientist, you will harness your skills to help millions of individuals and organizations fend off any malicious activity - practically defending the world from evil : )
Collaborate with brilliant security researchers, data scientists, and engineers to create new security capabilities for some of our key products. We are looking for a team player who is also independent, curious, and willing to share their perspective and push their ideas.
In this position, you will:
Lead end-to-end data science projects from research exploration to production.
Engage with cutting-edge GenAI technology to develop innovative solutions and enhance our data science capabilities.
Design and implement improvements of current ML-based products.
Work with domain experts to help shape the right questions and use your analytical skills to answer them.
Find new and innovative approaches to turn the huge data-stream created by our platform into additional security value.

The role consists of managing varied data solutions, databases, data processing tools, microservices, CI/CD pipelines, and cloud services on AWS cloud. You will be responsible for designing and maintaining these platforms, and get first hand experience with challenges around data, scale, architecture, creative solutions and high quality deliveries in a wide welcoming team.

Key Responsibilities:
Carry out DB administrative tasks (performance tuning, cost efficiency, observability etc..).
Design, build and enhance micro-services (Python / Java).
Promote data driven culture with CI/CD pipelines, serverless components and more.
Create and manage resources with IaC methodology (Infra as code) .
Support production systems (24/7).
Working with Data processing pipelines with external tools (e.g: AirFlow).

Join a team of skilled data engineers building sophisticated data pipelines connecting a variety of systems through streaming technologies, cloud services, and microservices.

As a Senior Data Engineer, youll play a key role in shaping the infrastructure powering our data ecosystem. Youll design, build, and maintain scalable data pipelines and automation processes, enabling reliable, efficient, and observable systems.

This is a hands-on role that combines infrastructure, data, and DevOps expertise - perfect for someone who thrives on learning new technologies, leading initiatives, and driving excellence in system design and delivery.

Responsibilities:
Design and maintain robust infrastructure for large-scale data processing and streaming systems.
Develop automation and deployment processes using CI/CD pipelines.
Build and operate Kubernetes-based environments and containerized workloads.
Collaborate with data engineers to optimize performance, cost, and reliability of data platforms.
Design and develop REST-API microservices.
Troubleshoot and resolve complex issues in production and staging environments.
Drive initiatives that enhance observability, scalability, and developer productivity.
Lead by example - share knowledge, mentor teammates, and promote technical best practices.