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We are seeking a talented, highly motivated and detail oriented individual to join our team. This position will join our Crossix Data Platform team and will own data analysis and quality checks to ensure high standards of our Pioneer product.
Pioneer serves as the centralized, scalable pre-analytics data hub that ingests, cleanses, and standardizes billions of raw media exposure data records (from direct publisher feeds like 1PC, site tags, and TV) into a unified data schema, enabling downstream matching against de-identified health data to measure marketing effectiveness for pharma campaigns.
This is a great opportunity for someone who is excited about taking part in building high quality data products and working closely with product and engineering teams towards successful execution.
What You'll Do
Plan and execute user acceptance testing for Pioneer, including functional checks and data quality checks
Create and manage dashboards to track the data KPIs - volumes, breakdowns, trends, platform throughput
Provide 2nd level support to production issues and take part in investigating data issues
Act as a liaison between Analysts, Product Management, and Dev to ensure our data products are built and delivered with quality
Identify opportunities for improving data quality to ensure data maintains high quality standard.

The company Data Platform is a framework that connects vast patient healthcare data from multiple sources daily, utilizing privacy-safe methodologies to maintain a current view of the US healthcare market. Positioned at the intersection of Big Data and innovative technology, it provides life sciences companies with the insights needed to make strategic business decisions and drive improved patient outcomes.
As a QA automation engineer, you will take a leading part in assuring the quality of our infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark, and other technologies.
What You'll Do
Be part of an excellent agile team
Create detailed test plans
Write and maintain integration, sanity, and regression tests for our products and services
Create and maintain documented coverage of tests
Review and analyze test results
Take part in all scrum activities (estimation sessions, planning, reviews)
Work on CI/CD tools (Git, Jenkins, JIRA) daily
Leveraged AWS cloud services-including S3 and message queues-alongside REST APIs and relational databases to build scalable backend solutions.

we are the industry leader in healthcare marketing analytics. We deidentify large scale healthcare datasets and transform it into actionable insights, allowing life sciences organisations to optimize how they reach and support patients. our company operates at the intersection of Big Data and AdTech. We combine the fast paced delivery of a start-up with the long-term security of a global leader.
You will play a key role in ensuring our customers successfully deploy, integrate, and operate our platform. By leading complex technical integrations and solving challenging infrastructure problems, you'll directly impact customer success, platform reliability, and the delivery of critical healthcare data solutions.
Our engineering philosophy prioritizes speed without compromising on quality. You will integrate into a lean and focused team with the encouragement to drive technical decisions and the accountability to execute. We value individuals who want to solve complex problems over following a rigid script, providing the space to influence both architecture, delivery and strategy.
Leadership shares a clear vision of the future, ensuring every sprint contributes to a larger objective. By helping treatments reach the right people, we use our engineering expertise to improve the healthcare landscape and act in the best interest of the patient.
What You'll Do
Own end-to-end integrations for large enterprise customers.
Work with modern cloud technologies across AWS, Azure, and GCP.
Solve unique technical challenges involving infrastructure, security, networking, and automation.
Collaborate closely with Engineering, Product, Customer Success, and customer technical teams.
Influence architecture, best practices, and the future direction of our deployment and integration processes.
Lead customer onboarding and technical integration projects from planning through production deployment.
Design, deploy, and troubleshoot cloud infrastructure using Infrastructure as Code (Terraform, Ansible, CloudFormation).
Implement and support Kubernetes, compute, networking, storage, and security configurations across multiple cloud providers.
Automate deployment, upgrade, and operational workflows to improve reliability and efficiency.
Investigate and resolve complex production issues, performing root cause analysis and driving permanent fixes.
Partner with customers and internal engineering teams to deliver scalable, secure, and highly available solutions.
Develop technical documentation, implementation guides, and operational runbooks.
Mentor engineers and contribute to improving engineering standards, tooling, and operational excellence.

Kendago is on a mission to redefine how consumers go from noticing a need to buying the right solution online. In an internet shaped by AI, fragmented attention, and constantly shifting platforms, we build, own, and scale top-performing brands and offers - both our own and those of leading partners — by combining proprietary technology, data-driven decision making, and creative excellence at performance scale. We operate at consumer scale, reaching millions of people every day across paid channels, owned funnels, and digital touchpoints. In a world where creative trends, consumer behavior, and platform algorithms shift overnight, Kendago stays ahead of the curve. We move fast, think deeply, and build with purpose. Our culture is rooted in entrepreneurship, innovation, and collaboration - along with shared wins, team dinners, and a whole lot of good food and laughter. We’re a team of doers, and boundary-breakers - product, data, R&D, growth, and creative talent who own the full stack of how consumer brands are built and scaled today. After 17 years in the game, every funnel, every test, every brand decision happens in-house - which means your work moves the needle directly and visibly. If you’re ready to tackle meaningful challenges, grow at lightning speed, and help shape the next frontier of consumer brand building, you belong here. ABOUT THE ROLE We are looking for a Senior Data Engineer with strong Python expertise and extensive experience building large-scale, distributed data systems You will play a key role in developing our next-generation data platform, building integrations with external data sources, and designing the services and pipelines that collect, process, and serve large volumes of data across our product. You will own systems throughout their full lifecycle — from system design and hands-on development to deployment, scalability, and production monitoring — while contributing to technical decisions and working closely with the team on building reliable, high-performance data solutions. Our Office is located in Kiryat Ono. This is a hybrid position, including two work-from-home days per week, with flexibility .?

Responsibilities:

* Build and improve data-collection and processing workflows, including scheduled, asynchronous, and long-running workloads.
* Develop reliable integrations with external APIs, platforms, and data providers.
* Design, build, and maintain backend services using Python and FastAPI

* Contribute to our new platform and capabilities such as algorithm execution and data collection orchestration.
* Design efficient data models and queries for operational databases and analytical systems such as Amazon Redshift.
* Handle real-world integration challenges including rate limits, retries, partial failures, idempotency, and changing external schemas.
* Improve the performance, scalability, observability, and reliability of existing services.
* Own features end to end: technical design, implementation, testing, deployment, monitoring, and ongoing improvement.
* Collaborate with product and engineering colleagues to turn ambiguous requirements into pragmatic technical solutions.

Biz Dev:
R&D

Remote/Part time:
Hybrid