דרושים » דאטה » data Engineer

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.

We are looking for a Data Engineer to join our team and help advance our Apps solution. Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization. The role involves constructing and maintaining scalable data pipelines, developing and integrating machine learning models, and ensuring data integrity and efficiency. You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.
Key Responsibilities:
Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data scientists and analysts.
Optimize and maintain end-to-end data pipelines using big data technologies to ensure efficiency and performance.
Monitor data pipelines to ensure data integrity and promptly troubleshoot any issues that arise.

Shape the Future of Data - Join our mission to build the foundational pipelines and tools that power measurement, insights, and decision-making across our product, analytics, and leadership teams.
Develop the Platform Infrastructure - Build the core infrastructure that powers our data ecosystem including the Kafka events-system, DDL management with Terraform, internal data APIs on top of Databricks, and custom admin tools (e.g. Django-based interfaces).
Build Real-time Analytical Applications - Develop internal web applications to provide real-time visibility into platform behavior, operational metrics, and business KPIs integrating data engineering with user-facing insights.
Solve Meaningful Problems with the Right Tools - Tackle complex data challenges using modern technologies such as Spark, Kafka, Databricks, AWS, Airflow, and Python. Think creatively to make the hard things simple.
Own It End-to-End - Design, build, and scale our high-quality data platform by developing reliable and efficient data pipelines. Take ownership from concept to production and long-term maintenance.
Collaborate Cross-Functionally - Partner closely with backend engineers, data analysts, and data scientists to drive initiatives from both a platform and business perspective. Help translate ideas into robust data solutions.
Optimize for Analytics and Action - Design and deliver datasets in the right shape, location, and format to maximize usability and impact - whether thats through lakehouse tables, real-time streams, or analytics-optimized storage.
You will report to the Data Engineering Team Lead and help shape a culture of technical excellence, ownership, and impact.

Were looking for a Data Engineer to join our team and help shape a modern, scalable data platform. Youll work with cutting-edge AWS technologies, Spark, and Iceberg to build pipelines that keep our data reliable, discoverable, and ready for analytics.
Whats the Job?
Design and maintain scalable data pipelines on AWS (EMR, S3, Glue, Iceberg).
Transform raw, semi-structured data into analytics-ready datasets using Spark.
Automate schema management, validation, and quality checks.
Optimize performance and costs with smart partitioning, tuning, and monitoring.
Research and evaluate new technologies, proposing solutions that improve scalability and efficiency.
Plan and execute complex data projects with foresight and attention to long-term maintainability.
Collaborate with engineers, analysts, and stakeholders to deliver trusted data for reporting and dashboards.
Contribute to CI/CD practices, testing, and automation.

we are the leader in hybrid-cloud security posture management, using the attackers perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. we are looking for a talented Senior data Engineer Join a core team of experts responsible for developing innovative cyber-attack techniques for Cloud-based environments (AWS, Azure, GCP, Kubernetes) that integrate into our fully automated attack simulation. About the Role:We are seeking an experienced Senior data Engineer to join our dynamic data team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure, ensuring the availability, reliability, and quality of our data. This role requires strong technical expertise, problem-solving skills, and the ability to collaborate across teams to deliver data -driven solutions.Key Responsibilities:
* Design, implement, and maintain robust, scalable, and high-performance data pipelines and ETL processes.
* Develop and optimize data models, schemas, and Storage solutions to support analytics and Machine Learning initiatives.
* Collaborate with software engineers and product managers to understand data requirements and deliver high-quality solutions.
* Ensure data quality, integrity, and governance across multiple sources and systems.
* Monitor and troubleshoot data workflows, resolving performance and reliability issues.
* Evaluate and implement new data technologies and frameworks to improve the data platform.
* Document processes, best practices, and data architecture.
* Mentor junior data engineers and contribute to team knowledge sharing.

We are looking for a Senior Data Engineer to join our Platform group in the Data Infrastructure team.
Youll work hands-on to design and deliver data pipelines, distributed storage, and streaming services that keep our companys data platform performant and reliable. As a senior individual contributor you will lead complex projects within the team, raise the bar on engineering best-practices, and mentor mid-level engineers while collaborating closely with product, DevOps and analytics stakeholders.
Code & ship production-grade services, pipelines and data models that meet performance, reliability and security goals
Lead design and delivery of team-level projects from RFC through rollout and operational hand-off
Improve system observability, testing and incident response processes for the data stack
Partner with Staff Engineers and Tech Leads on architecture reviews and platform-wide standards
Mentor junior and mid-level engineers, fostering a culture of quality, ownership and continuous improvement
Stay current with evolving data-engineering tools and bring pragmatic innovations into the team.

We are looking for a hands-on data infrastructure and platform engineer with proven leadership skills to lead and evolve our self-service data platform that powers petabyte-scale batch and streaming, near-real-time analytics, experimentation, and the feature platform. Youll guide an already excellent team of senior engineers, own reliability and cost efficiency, and be the focal point for pivotal, company-wide data initiatives- feature platform, lakehouse, and streaming.
Own the lakehouse backbone: Mature Iceberg at high scalepartitioning, compaction, retention, metadataand extend our IcebergManager in-house product to automate the lakehouse management in a self serve fashion.
Unify online/offline for features: Drive Flink adoption and patterns that keep features consistent and low-latency for experimentation and production.
Make self-serve real: Build golden paths, templates, and guardrails so product/analytics/DS engineers can move fast safely.
Run multi-tenant compute efficiently: EMR on EKS powered by Karpenter on Spot instances; right-size Trino/Spark/Druid for performance and cost.
Cross-cloud interoperability: BigQuery + BigLake/Iceberg interop where it makes sense (analytics, experimentation, partnership).
What you'll be doing
Leading a senior Data Platform team: setting clear objectives, unblocking execution, and raising the engineering bar.
Owning SLOs, on-call, incident response, and postmortems for core data services.
Designing and operating EMR on EKS capacity profiles, autoscaling policies, and multi-tenant isolation.
Tuning Trino (memory/spill, CBO, catalogs), Spark/Structured Streaming jobs, and Druid ingestion/compaction for sub-second analytics.
Extending Flink patterns for the feature platform (state backends, checkpointing, watermarks, backfills).
Driving FinOps work: CUR-based attribution, S3 Inventory-driven retention/compaction, Reservations/Savings Plans strategy, OpenCost visibility.
Partnering with product engineering, analytics, and data science & ML engineers on roadmap, schema evolution, and data product SLAs.
Leveling up observability (Prometheus/VictoriaMetrics/Grafana), data quality checks, and platform self-service tooling.

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.

We are seeking a seasoned R&D Group Manager to lead a group of talented engineers in designing and building scalable data pipelines and cloud-native applications. This role is perfect for an experienced and proactive person with outstanding leadership skills. The ideal candidate is a team player who has a passion for data processing and applications at a large scale. This is an amazing opportunity to join a growing product in an enterprise company with ample opportunities for professional growth.
This job is located in Tel Aviv (hybrid).
About Us
we are a key player in the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work. Our team values collaboration, flawless execution, and an agile mindset. We offer continuous learning opportunities, including access to training programs, conferences, and workshops to help you grow professionally.
Key Responsibilities
Lead and mentor multiple engineering teams focused on data infrastructure, backend services, and cloud-native applications
Architect and oversee the development of robust, scalable data pipelines and real-time data processing systems
Drive the design and implementation of microservices and serverless applications using AWS (e.g., Lambda, ECS, S3, MongoDB) and Azure (ADX)
Collaborate with product managers, data scientists, and other stakeholders to translate business requirements into technical solutions
Ensure high standards of software quality through code reviews, testing, and automation
Foster a culture of innovation, ownership, and continuous improvement within the group
Manage hiring, performance reviews, and career development for team members.

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