Data Engineer Tel Aviv-Yafo, Tel Aviv District, Israel
Listed on 2026-06-04
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Software Development
Data Engineer
Location: New York
Join Our Team
We are seeking Super Smart, Badass, Good Humans who want to help us build a better financial system for all.
We are driven by purpose and focused on growing a team that shares our vision and values.
LocationTel Aviv-Yafo, Tel Aviv District, Israel
About the CompanyCapitolis is a technology company helping create safer and more vibrant financial markets by unlocking capital constraints and enabling greater access to diversified capital and investment opportunities. We work with some of the largest financial institutions worldwide to improve capital efficiency and reduce risk through advanced technology and deep financial expertise.
Role:Staff Data Engineer
We're building an enterprise-wide data platform to unify data from across our applications and systems. As a Staff Data Engineer, you will architect and build our AWS + Snowflake data lake house, integrate diverse data sources, and enable AI agents to deliver insights to internal teams and external users.
What You'll Do- Build the data platform
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Design and implement our data lake on AWS (S3, Glue, Lake Formation) with Snowflake as the analytics layer - Enterprise integrations
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Create robust pipelines ingesting data from finance systems, applications, and third‑party sources using CDC and API integrations - Enable AI‑driven insights
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Build semantic layers and APIs that allow AI agents to query and analyze data securely - Optimize for scale
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Implement performance tuning, cost optimization, and data quality monitoring across the platform - Establish best practices
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Define data modeling patterns, governance frameworks, and engineering standards - Mentor and lead
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Guide engineers on data platform architecture and implementation
- 8+ years in data engineering with 5+ years building data platforms
- Deep expertise with AWS data services: S3, Glue, Lake Formation, IAM, Step Functions/MWAA
- Production experience with Snowflake:
Snowpipe, virtual warehouses, RBAC, performance optimization - Strong Python and SQL skills focused on data processing and optimization
- Experience integrating enterprise systems (ERP, CRM, finance platforms)
- Built real‑time or near real‑time data pipelines (CDC, streaming)
- LLM/agent integration with data platforms (semantic layers, API design)
- Data governance and security implementation at scale
- Infrastructure as Code (Terraform)
- Kinesis or Kafka for streaming data
- Vector databases for AI/ML applications
- Open source contributions to data tools
- Builder mindset
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You write code and ship infrastructure, not just design architectures - Pragmatic decision‑making
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You balance perfect solutions with delivering value quickly - Technical leadership
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You establish patterns and mentor through hands‑on work - Self‑starter
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Comfortable with ambiguity and defining the path forward - Strong communicator
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You can translate technical concepts for diverse stakeholders
- We lead with purpose, while creating exceptional value
- We pursue big breakthroughs, responsibly
- We learn from the best and are unapologetically independent
- We are obsessed with the future and fanatical about executing today
- We play tough, with heart
- Super Smart: quality thinking and know what good looks like
- Badass: all in, get stuff done, and high standards
- Good Human: collaborative, open‑minded, authentic and real, and pursue self‑actualization
We offer generous health plans, flexible working arrangements, retirement savings plans, and performance‑based rewards tied to individual and company success.
We are committed to an inclusive and equitable workplace. This position is open to all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
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