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Data is Never at Rest,
and Neither Are We

We’re constantly on the lookout for people who are hungry, humble, and smart. In that order. If that sounds like you, join us on our journey to make raw log data obsolete.

Global Customers
DevOps and Engineering Users
Applications Monitored
Events Processed Per Second
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Join the Team!

Our stateful streaming analytics approach enables teams to monitor, visualize, and alert on observability data in real-time with no reliance on storage or indexing.

We’re looking for new team members to join us in our mission to build our next-gen data-less data platform.

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Our Benefits

Global Presence

We have a global presence with our HQ in the center of Tel Aviv and offices in the USA, India and the UK.

Competitive Salary

We pride ourselves on rewarding great work with great compensation.

Generous Share Package

We want you to have skin in the game and share in our future success.

Commuter Benefits

We offer monthly credits for ride-sharing, parking, and public transportation to make getting to the office a breeze.

Team Events

Regular happy hours, annual company trips, and employee parties – these are just a few ways we like to keep things friendly.

Continuous Learning

We encourage everyone to continue learning new things – developing both personally and professionally.

BI Data Engineer

Tel-Aviv, Israel · Full-time · Senior

About The Position

Coralogix is rebuilding the path to observability using a real-time streaming analytics pipeline that provides monitoring, visualization, and alerting capabilities without the burden of indexing.

By enabling users to define different data pipelines per use case, we provide deep Observability and Security insights, at an infinite scale, for less than half the cost.

Coralogix is a company growing fast. You will have a rare opportunity to join our BI team at the very beginning, using a cutting edge modern data stack. This team is in charge of all the internal analytics work: create data pipelines, data modeling, analysis, visualization and reporting. We enable all areas of the business to make data-driven decisions. This team will grow in the future and you could be one of the first members.

About the role

As a Business Intelligence Data Engineer, you will be responsible for defining, developing and managing curated datasets, key business metrics and reporting across functional units at Coralogix. You will architect, implement and manage data models, ELTs and ETLs that will enable product, engineering and business teams access consistent data, in near real time, across the Coralogix ecosystem and services. You are a self-starter and you are comfortable working cross-functionally with other teams across Coralogix.

What You’ll Do

  • Partner with business stakeholders, upstream infrastructure platform engineering teams and downstream data consumers to understand data and translate business requirements into technical design of building scalable data pipelines.
  • Develop and take ownership of BI data pipelines and centralized data warehouse with trustworthy curated datasets and standardized metrics and business definitions to empower data access and self-service.
  • Provide the direction of our data engineering and architecture. Determine the right tools for the right jobs.
  • Institute data engineering best practices (i.e. dimensional modeling, ETL/ELT pipeline, large scale distributed ETL/ELT pipelines) to enable large-scale machine learning
  • Create and maintain analytics data pipelines that generates data + insight to power business decision making
  • Provide feedback to product and engineering on new and upcoming features


Must Have

  • 4+ years as a software engineer or data engineer
  • Extensive knowledge of BI concepts (i.e. ETL, dimensional modeling, data warehouse design, data quality monitoring, dashboarding)
  • Extensive knowledge of database query languages (i.e. SQL or its MPP equivalent), database design, optimizing queries, internals knowledge of query planning
  • Extensive experience with distributed computing/MapReduce
  • Extensive experience with data streaming solutions

Nice to Have 

  • Extensive experience with event tracking or marketing lead tracking
  • Extensive experience in distributed computing cluster management (Hadoop, Spark, Flink, etc)
  • Experience running cloud native workloads on Kubernetes
  • Familiarity with dbt
  • Productionize machine learning pipelines
  • Technical paper publications, conference speaking engagements

Apply for this position