Staff Data Engineer

We believe the financial markets can and should work for everyone. Capitolis is the technology company helping to create safer and more vibrant financial markets by unlocking capital constraints and enabling greater access to more diversified capital and investment opportunities. Rooted in advanced technology and deep financial expertise, Capitolis powers groundbreaking financial solutions that drive growth for global and regional banks – and institutional investors alike. Capitolis is backed by world class venture capital firms, including Canapi Ventures, 9Yards Capital, SVB Capital, Andreessen Horowitz (a16z), Index Ventures, Sequoia Capital, Spark Capital, and S Capital, as well as leading global banks such as Barclays, BNP Paribas, Citi, J.P. Morgan, Morgan Stanley, Standard Chartered, State Street and UBS.

Founded in 2017, our team brings decades of experience in launching successful startups, technology, and financial services. Capitolis was recognized on the Inc. 2024 Best in Business list in the Financial Services and Innovation & Technology categories, and honored for the third consecutive year in the 2025 Euromoney Foreign Exchange Awards. The company has been included on CNBC's World's Top Fintech Companies list for the past three years, Deloitte's Technology Fast 500 list in consecutive years and was named to Fast Company's prestigious annual list of The World's Most Innovative Companies for 2023. American Banker recognized Capitolis among the Best Places to Work in Fintech, and the company was named by Crain's New York Business as one of New York City's Best Places to Work in 2025 for the fourth consecutive year. For more information, please visit our website at www.capitolis.com or follow us on LinkedIn.

Staff Data Engineer - Data Platform

Capitolis | Tel Aviv | Full-time

About the Role

Capitolis is a leading financial technology company that optimizes capital markets through innovative technology solutions. We work with the world's largest financial institutions to improve capital efficiency and reduce risk in their operations.

We're building an enterprise-wide data platform to unify data from across our applications and systems. We're looking for a Staff Data Engineer to architect and build our AWS + Snowflake data lakehouse, integrate diverse data sources, and enable AI agents to deliver insights to internal teams and external users.

You'll be the technical leader establishing our data infrastructure from the ground up — building pipelines, setting engineering standards, and creating patterns the team can scale. You'll report to our head of DevOps.

What You'll Do

Build the data platform: Design and implement our data lake on AWS (S3, Glue, Lake Formation) with Snowflake as the analytics layer
Enterprise integrations: Create robust pipelines ingesting data from finance systems, applications, and third-party sources using CDC and API integrations
Enable AI-driven insights: Build semantic layers and APIs that allow AI agents to query and analyze data securely
Optimize for scale: Implement performance tuning, cost optimization, and data quality monitoring across the platform
Establish best practices: Define data modeling patterns, governance frameworks, and engineering standards
Mentor and lead: Guide engineers on data platform architecture and implementation

Requirements

Must-Have:

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 with focus on data processing and optimization
Experience integrating enterprise systems (ERP, CRM, finance platforms)
Built real-time or near real-time data pipelines (CDC, streaming)

Strongly Preferred:

LLM/agent integration with data platforms (semantic layers, API design)
Data governance and security implementation at scale
Change Data Capture tools (Glue DMS, Debezium, Fivetran)
Infrastructure as Code (Terraform)

Nice to Have:

Kinesis or Kafka for streaming data
Vector databases for AI/ML applications
Open source contributions to data tools

What We're Looking For

Builder mindset: You write code and ship infrastructure, not just design architectures
Pragmatic decision-making: You balance perfect solutions with delivering value quickly
Technical leadership: You establish patterns and mentor through hands-on work
Self-starter: Comfortable with ambiguity and defining the path forward
Strong communicator: Can translate technical concepts for diverse stakeholders

Tech Stack

AWS (S3, Glue, Lake Formation, Lambda, Step Functions), Snowflake, Python, Git

Our Company Values

We operate with a clear set of values that guide us — our way of being, decisions, and actions. These values define who we are, and we are committed to all of them. These values are uniquely ours. If these values — all of them — speak to you, this is an amazing place, but we are not for everyone. Learn more about our Company Values here.

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

Our People Attributes

Our People Attributes are characteristics that describe the DNA of Capitolis employees. They provide a consistent framework to hire, assess, and develop our team against. Learn more about our People Attributes on our careers page here.

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