Senoir Big Data Engineer at Forter

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

0.0

Posted On

03 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Big Data, Data Engineering, Machine Learning, High-throughput Tools, Distributed Systems, MLOps, Apache Spark, Python, Scala, Backend Development, Server-side Development, Data Processing Pipelines, Feature Store, Data Scientists Consultation, Data Ingestion, Data Transformation

Industry

Software Development

Description

About the role: Forter is looking for a Senior Big Data Engineer to join our growing ML Platform team. This is a great opportunity for an experienced Data Engineer who wants to apply their skills to the world of Machine Learning. Together, we’ll provide the high-throughput tools and distributed systems needed to process billions of data points, ensuring that our models have the feature-rich, reliable data they need to perform in real-time. ML is central to Forter’s work. It enables us to process billions of dollars worth of e-commerce transactions and identify fraud rings. Precision at scale is crucial—our models depend on engineered features derived from massive datasets. As the volume of data and the complexity of these models grow, we need senior engineers who can solve the "Big Data" challenges inherent in modern MLOps. Why should you join us? You’ll be part of a highly proficient engineering team that is the focal point for all ML engineering activity. This role is perfect for a Big Data specialist who wants to own the data-intensive side of ML—building the pipelines and infrastructure that transform raw global traffic into actionable intelligence. What you will be doing: Designing and building the data-heavy components of our ML infrastructure, allowing Forter’s models to make billions of real-time decisions every year. Building distributed data processing pipelines that power model training, feature engineering, and offline research at scale. Optimizing the "Feature Store" concept—ensuring that the data used for training matches the data used in production for real-time serving. Acting as a technical consultant to data scientists and researchers, helping them navigate massive datasets and providing the Spark-based tooling they need to iterate faster. Expanding our ML data infrastructure to be scalable and efficient, focusing on the performance of data ingestion and transformation for diverse model types. Improving MLOps standards by ensuring data reproducibility, lineage, and quality across the entire model lifecycle. Who are you? 5+ years of experience with large-scale data processing, with deep expertise in Apache Spark. 5+ years developing complex software with at least one general-purpose language (preferably Python or Scala). Backend and server-side development experience of complex, highly scalable systems. Strong understanding of Data Engineering patterns (Partitioning, Sharding, Schema evolution) and how they apply to model performance. Interest in Machine Learning concepts—you don't need to be a researcher, but you should understand how data flows into a model. Experience working with public clouds (AWS / GCP / Azure). Fluent in written and spoken English. It’d be really cool if you also: Are familiar with Databricks or Airflow for orchestrating complex ML workflows. Are comfortable in a containerized environment (Kubernetes/Docker). Have experience with low-latency, real-time data serving or streaming (Kafka). About us: Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction. The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve. Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact. Trust is backed by data – Forter is a recipient of over 10 workplace and innovation awards, including: Great Place to Work Certification (2021, 2022, 2023) Fortune’s Best Workplaces in NYC (2022) #3 on Fast Company’s list of “Most Innovative Finance Companies” (2022) Forbes Cloud 100 (2021, 2022) SAP Pinnacle Awards “New Partner Application Award” (2023) Fintech Breakthrough Awards – Best Fraud Prevention Platform (2023) Life as a Forterian: We are a team of over 500 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Nordstrom, Priceline, Instacart and ASOS can block fraud, drive revenue and improve customer experience. At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company. Forter is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law. If you need assistance or an accommodation due to a disability, please email us at interviewaccommodation@forter.com. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process. 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Responsibilities

The role involves designing and building data-heavy components for ML infrastructure to support billions of real-time decisions annually, alongside building distributed data processing pipelines for model training and feature engineering at scale. Responsibilities also include optimizing the Feature Store concept and acting as a technical consultant for data scientists regarding massive datasets and Spark tooling.