Data Engineer
What We Do:
Triple Whale is the AI operating system built for modern ecommmerce. We help you see what's actually working in your business, what's not, and what to do next. Then we take action for you — pausing the underperforming ad, generating the next batch of creative, flagging the inventory risk before it bites.
We pull every signal in your business into one place, and put it on the most trusted measurement foundation in the industry. And on top of that, we give you the most actionable AI in commerce — Moby 2 — letting you tap any LLM you want, grounded in the full context of your business. Moby 2 doesn't just surface insights, it executes decisions for you, with automations that make the rest of your stack smarter.
The result: more than 60,000 brands like Pressed Juicery, OUAI, and True Classic turn mountains of complex data into actions that actually grow profit, at a speed and scale that is not humanly possible.
Why Triple Whale Needs You:
We're looking for a Data Engineer with 4+ year experience to join our Data Engineering team and help us build and scale our production-grade data platform. You'll work on high-performance systems built on self-hosted ClickHouse, optimize complex data pipelines, and collaborate closely with Product, Analytics, and Infrastructure teams to deliver reliable, fast, and scalable data solutions.
This is a hands-on technical role where you'll have a significant impact on how we ingest, model, store, and serve data that powers our analytics and AI-driven products.
You’ll play a key role in shaping the direction of our data platform and have meaningful ownership over critical components of our architecture.
What You'll Do:
Data Modeling & Architecture
Design and evolve data models that reflect business logic and support analytical use cases
Collaborate with the BI and Analytics teams to understand data requirements and translate them into efficient schemas
Performance Optimization
Optimize ClickHouse schemas, partitioning strategies, indexing, and compression
Profile and tune slow queries to improve performance and reduce costs
Implement systems that ensure data quality, consistency, and operational efficiency (e.g., deduplication, validation, anomaly detection)
Monitor pipeline health, data freshness, and query performance with appropriate alerting mechanisms
SQL Compiler Development
Develop and maintain the SQL Compiler layer that translates high-level queries into optimized ClickHouse execution plansImplement query optimization and rewriting strategies to improve performanceDebug and resolve compiler issues to ensure accurate and efficient query translation
Data Pipeline Development & Collaboration
Review and advise the Integration team on pipeline architecture, performance, and best practices.
Provide guidance on data modeling, schema design, and optimization for new data sources.
Troubleshoot and maintain existing pipelines when issues arise or optimization is needed
Ensure data freshness, reliability, and quality across all ingestion pipelines.
Collaboration & Support
Work closely with the Integration team to ensure smooth data ingestion from new sources.
Partner with Infrastructure to support high availability and disaster recovery
Support other teams across the company in accessing and using data effectively.
What You'll Bring:
Required
Excellent communication and collaboration skills
English at a high level, written and spoken required
Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is required
Strong attention to detail, ownership mentality, and ability to work independently
Quick learner who can dive into new codebases, technologies, and systems independently
Hands-on mentality - not afraid to roll up your sleeves, dig into unfamiliar code, and work across the stack (including backend when needed)
4+ years of experience as a Data Engineer
Strong problem-solving skills for complex data challenges at scale - ability to debug performance issues, data inconsistencies, and system bottlenecks in high-volume environments
Experience with data modeling and schema design for analytical workloads
Strong proficiency in SQL and experience with complex analytical queries
Hands-on experience building and maintaining data pipelines (ETL/ELT)
Ability to troubleshoot and optimize systems handling large data volumes (millions+ rows, complex queries, high throughput)
Knowledge of query optimization techniques and execution planning
Familiarity with columnar databases (ClickHouse, BigQuery, Redshift, Snowflake, or similar). Columnar DB experience is a big plus.
Nice to Have
Experience with ClickHouse specifically
Experience with real-time or streaming data pipelines
Familiarity with SQL compilers or query engines
Background in data quality frameworks and observability tools
Experience with infrastructure as code (Terraform, Ansible, Pulumi ,etc.)
Contributions to open-source data projects
Experience with data orchestration tools (Airflow, Dagster, Prefect, etc.)
Experience with any scripting language for data processing
Understanding of distributed systems and data architecture concepts at scale
Plus
Experience working in e-commerce, analytics, or BI platforms
Our Values
We Are Customer Obsessed: From our mission to every detailed project, everything we do is designed to create a positive impact for our customers.
We Move (Very!) Quickly: The speed at which we work, iterate, and deliver value is our most competitive advantage.
We Are Trustworthy: Candor, directness, and honest communication helps us learn, grow and improve so we can win together.
We Are Curious: We extend beyond our comfort zone and ask questions that guide us towards new, creative, and bold paths.
We Act Like A Mensch: We act with honor, integrity and empathy, and have deep respect for our customers and each other.
What We Offer
The opportunity to shape and own core systems that power the entire organization.
A high-impact role with autonomy and influence across multiple teams.
A collaborative, fast-paced, and innovative environment.
Competitive compensation and hybrid flexibility based in Jerusalem, with at least 2 days per week in-office required. Our office is conveniently located in Jerusalem's Central Bus Station (across the street from the train station)
Join Us In Making Waves:
If you’re looking for more than just a job and want to be part of a movement reshaping the future of Ecommerce, Triple Whale is the place for you. We’re on the lookout for driven, curious, and creative individuals ready to thrive in a fast-paced environment.
Triple Whale is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Referred? Got here thanks to a friend? Splash some gratitude their way! They'll need to submit your application through our referral system to make it official.