Backend Engineer - Data Pipeline Job at Coralogix (Ramat Gan)

Backend Engineer - Data Pipeline

Coralogix is a modern, full-stack observability platform transforming how busine...

Location

Germany , Berlin

Salary:

Not provided

Coralogix

Expiration Date

Until further notice

Requirements

At least 5 years of software development experience
At least 2 years of experience developing and operating Rust-based systems in production
Experience with AWS/ GCP cloud

Job Responsibility

Design and develop backend services using Rust along with other exciting technologies, all deployed in AWS on Kubernetes

Fulltime

Backend Engineer - Data Pipeline

Coralogix is a modern, full-stack observability platform transforming how busine...

Location

Israel , Ramat Gan

Salary:

Not provided

Coralogix

Expiration Date

Until further notice

Requirements

5+ years of development experience with Scala or another JVM language
Extensive hands-on experience with scalable and distributed systems architecture and design
4+ years of hands-on experience with Data Streaming technologies, including Apache Kafka, Spark Streaming, KafkaStreams, or Apache Flink
Proficiency in data modeling and designing systems to handle large-scale, distributed datasets efficiently
Experience with containerization and orchestration tools, including Kubernetes and Docker containers
Strong knowledge of distributed computing paradigms and principles, such as consistency, partitioning, and resilience
B.Sc. in Computer Science or an equivalent field

Job Responsibility

End-to-end development and ownership of our products and features, from design to scalable and predictable production behavior
Solve diverse complex problems of high scale
Collaborate with other engineers and product managers in order to improve our products
Review code, architecture, and data to identify and troubleshoot problems

Fulltime

Backend Data Engineer — Data Platform

We're looking for an engineer to support hands-on implementation and migration w...

Location

Poland

Salary:

140.00 - 170.00 PLN / Hour

Devire

Expiration Date

Until further notice

Requirements

Strong Java development skills, with experience in data platform or data engineering contexts
Practical experience with at least one JVM-based data processing framework — Flink experience is a plus
Beam, Dataflow, or Spark also relevant
Comfortable with SQL and cloud data analytics platforms, particularly BigQuery
DevOps is part of your day-to-day: you work with cloud infrastructure, containerised applications, and are familiar with Kubernetes basics
Experience working with data engineering pipelines in Scala and/or Python
You write quality code and understand what it means to ship reliably in a production environment
You can work autonomously in an ambiguous environment and move quickly without waiting to be directed

Job Responsibility

Support hands-on implementation and migration work as we evolve our data processing stack
Contribute to company wide migration efforts and platform development
Embedded in a team in Data Infrastructure PA, contributing to hands-on engineering work including large-scale pipeline migrations — validating performance and cost outcomes and helping move workloads to our evolving stack
Contribute to platform development across our Flink platform, Lakehouse architecture and beyond

What we offer

Access to benefits package at attractive prices (medical care, Multisport card, life insurance, cafeteria system)
Long-term cooperation

Fulltime

Senior Software Engineer (Backend) - Data & Storage Platforms

As a Senior Software Engineer in the Storage, Search, and Data (SSD) group, you ...

Location

United States , Seattle, Washington; San Francisco, California; Sunnyvale, California

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

5+ Years of Engineering Experience: Proven track record of building and maintaining large-scale distributed systems
Deep Storage Knowledge: Practical, hands-on experience with: Relational & NoSQL: Distributed MySQL, Cassandra, or Redis
Batch & Object: HDFS, S3/GCS, and Metadata services
Distributed Systems: If you’ve worked on systems like Google Spanner or TiDB, you’ll be a great fit for our Transactional Storage (Docstore) team
Coding Mastery: Expert-level proficiency in Java, Go, or C++, with a strong focus on concurrency, memory management, and performance tuning
Query Engines: Experience with large-scale analytical engines like Presto, Hive, or Trino

Job Responsibility

Own & Execute: Lead the design and implementation of major features for Uber’s storage and data platforms (e.g., Docstore, Pinot, or OpenSearch)
Cloud-Native Modernization: Build and optimize services that leverage GCP and OCI Object Storage, focusing on high-throughput metadata management and S3-compatible API support
Storage Optimization: Drive efficiency across our HDFS and Blobstore layers, using table formats like Apache Hudi or Iceberg to improve data freshness and reduce cost
AI/ML Integration: Work with AI teams to design high-performance data pipelines, ensuring our storage layers can handle the intense IO demands of GPU-based model training
Operational Leadership: Ensure 99.99% availability for your services. You will lead root-cause analyses (RCAs), improve observability, and mentor L3/L4 engineers on best practices for distributed systems

What we offer

Uber's bonus program
equity award & other types of comp
401(k) plan
various benefits

Fulltime

Senior/Principal Backend Engineer - Data Classification

Our engineering team is at the core of how modern data security is built. We are...

Location

Israel , Tel Aviv

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

5+ years of professional experience as a Software Engineer
BSc degree in Computer Science, or equivalent background
Proven ability to design and deliver complex systems end-to-end
Strong algorithmic thinking, including the ability to design efficient solutions under real-world constraints such as scale, latency, and resource usage
Familiarity with CI/CD pipelines and cloud infrastructure
Ability to make things work beyond writing good code - hands-on, practical, and execution-oriented
Strong ownership, communication skills, and a proactive mindset

Job Responsibility

Build and scale AI-driven data classification and detection capabilities for next-generation data security products
Design systems that identify, classify, and protect sensitive data in real time across cloud and endpoint environments
Lead technical design discussions and influence architecture for large-scale data processing systems
Partner with product, infrastructure, and other engineering teams to deliver tightly integrated solutions
Solve complex engineering challenges related to scale, performance, reliability, and operations
Raise the technical and collaborative bar by mentoring, sharing knowledge, and improving team practices
Proactively suggest ideas, lead initiatives, and drive continuous improvement across the product and engineering processes

Fulltime

Backend Engineer (Data Science / ML)

Location

Finland , Helsinki

Salary:

Not provided

Zalando

Expiration Date

Until further notice

Requirements

Solid command of Kotlin, additional JVM based languages (Scala or Java), knowledge of software patterns and paradigms like continuous integration, test automation and deployment pipelines
Not only a strong command of Databricks with Apache Spark, but you are also comfortable taking the model from a notebook and wrapping it in a high-performance Kotlin microservice deployed on Kubernetes
You are a Backend Engineer at heart, but you possess a strong interest (or foundational experience) in Data Science, Applied AI, or Machine Learning
You enjoy working with large datasets and have a solid understanding of how data structures impact the performance of ML-driven applications
Experience in specifying, planning, developing, maintaining and operating microservices using REST API (OpenAPI), Cloud Platforms (AWS, Kubernetes), PostgreSQL
You have good communication and collaboration skills and enjoy working in an international and diverse environment with a positive no-job-is-beneath you attitude as a team player
You are self-motivated and have a proactive mindset with a passion for continuous improvement
You have problem-solving skills and ability to apply logical and analytical thinking to complex problems

Job Responsibility

Design and implement predictive delivery models using Databricks with Apache Spark, translating complex data into real-time backend insights
Take ownership of new features, take them from idea to technical design, and from technical design to cross system implementation
Help us to be a better team by continuously reflecting upon our ways of working and suggesting improvements
Actively participate in the entire product development lifecycle, from initial concept and design through to development, testing, deployment, and operation
Proactively identify and solve complex technical challenges, always approaching problems with a 'Partner First' mindset to deliver solutions that simplify their daily operations

What we offer

Culture of trust, empowerment and constructive feedback with internal guilds and Employee Resource Groups, knowledge sharing through tech talks and open source commitment, internal tech academy and blogs, product demos, meetups, parties and events
Competitive salary and employee shares program
40% Zalando discount of products sold and shipped by Zalando, 30% off Zalando Lounge and additional discounts from external partners
Monthly transport, lunch and recreation vouchers, private health insurance and occupational health care services, family services, free beverages and snacks, diverse sports and health offerings
Centrally located office in Kamppi, Helsinki, with flexible working times, additional holidays and hybrid working model
Extensive onboarding, mentoring and training opportunities and an international team of experts to work with

Fulltime

Backend Engineer (Data Science / ML)

As a Backend Engineer (Data Science / ML) in Zalando Partner Tech, you will be r...

Location

Finland , Helsinki

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

Solid command of Kotlin
additional JVM based languages (Scala or Java)
knowledge of software patterns and paradigms like continuous integration, test automation and deployment pipelines
strong command of Databricks with Apache Spark
comfortable taking the model from a notebook and wrapping it in a high-performance Kotlin microservice deployed on Kubernetes
Backend Engineer at heart with a strong interest (or foundational experience) in Data Science, Applied AI, or Machine Learning
enjoy working with large datasets and have a solid understanding of how data structures impact the performance of ML-driven applications
experience in specifying, planning, developing, maintaining and operating microservices using REST API (OpenAPI), Cloud Platforms (AWS, Kubernetes), PostgreSQL
good communication and collaboration skills
enjoy working in an international and diverse environment with a positive no-job-is-beneath you attitude as a team player

Job Responsibility

Design and implement predictive delivery models using Databricks with Apache Spark, translating complex data into real-time backend insights
take ownership of new features, take them from idea to technical design, and from technical design to cross system implementation
help us to be a better team by continuously reflecting upon our ways of working and suggesting improvements
actively participate in the entire product development lifecycle, from initial concept and design through to development, testing, deployment, and operation
taking full ownership of your features and their impact on our partners
proactively identify and solve complex technical challenges, always approaching problems with a "Partner First" mindset to deliver solutions that simplify their daily operations

What we offer

Culture of trust, empowerment and constructive feedback with internal guilds and Employee Resource Groups
knowledge sharing through tech talks and open source commitment
internal tech academy and blogs, product demos, meetups, parties and events
competitive salary and employee shares program
40% Zalando discount of products sold and shipped by Zalando
30% off Zalando Lounge and additional discounts from external partners
monthly transport, lunch and recreation vouchers
private health insurance and occupational health care services
family services
free beverages and snacks

Fulltime

Senior Backend Engineer - Data Ingestion (ClickPipes)

About ClickHouse: Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is on...

Location

Netherlands

Salary:

Not provided

ClickHouse

Expiration Date

Until further notice

Requirements

5+ years of industry experience building as a backend engineer
Golang
Kubernetes
Terraform (or comparable IaC tool)
cloud-native architecture
solid knowledge of at least one major cloud service provider
Customer Focus
Attention to Detail
Collaboration
Problem Solver

Job Responsibility

Enhance and scale our high-performance data onboarding platform to handle increasing volumes of data in real-time
Own and evolve our infrastructure across multiple cloud providers (AWS, with expansion to GCP and Azure)
Drive improvements to our deployment pipelines, infrastructure automation, and operational processes
Drive technical discussions and contribute to architectural decisions that impact our platform's scalability and resilience
Participate in on-call rotations to ensure system reliability and respond to production incidents
Continuously improve our systems based on operational metrics, customer feedback, and evolving business requirements

What we offer

Flexible work environment
Healthcare - Employer contributions towards your healthcare
Equity in the company
Time off
A $500 Home office setup if you’re a remote employee
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Backend Engineer - Data Pipeline

Job Description

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Backend Engineer - Data Pipeline

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Senior Backend Engineer - Data Ingestion (ClickPipes)

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