Staff Data Engineer

Twenty•New York, NY

7d•Onsite

About The Position

At Twenty, we're taking on one of the critical challenges of our time: defending democracies in the digital age. We develop revolutionary technologies that operate at the intersection of the cyber and electromagnetic domains, where the speed of operations exceeds human sensing and complexity transcends conventional boundaries. Our team doesn't just solve problems – we deliver game-changing outcomes that directly impact national security. We're pragmatic optimists who understand that while our mission of protecting America and its allies is challenging, success is possible. You will own the data infrastructure that powers Twenty’s cyber operations applications and capabilities. This role is about building a durable, high-performance data lake and the pipelines, schemas, and query patterns that make petabyte-scale datasets usable and economical. You’ll partner closely with engineers and intelligence analysts to turn messy, high-volume operational data into reliable, well-modeled systems that drive real missions. You’ll also lead technical initiatives and mentor other engineers as we scale what we can support and ship.

Requirements

You have 8+ years of experience in data engineering and/or data architecture.
You have mastery-level expertise building ETL pipelines and operating them in production.
You have deep experience with data lake architecture and systems used to query data lakes.
You have strong schema and index design skills, including partitioning, indexing, and clustering strategies.
You have experience with column-oriented databases in production environments.
You have built data systems from scratch (not only maintained existing platforms).
You have proven leadership experience mentoring engineers and driving technical initiatives.
You are a U.S. citizen and can meet the role’s security requirements.

Nice To Haves

You have experience with key-value datastores.
You have worked with streaming and message queue systems.
You have experience with graph database technologies.
You have worked with internet/networking datasets (e.g., scan data, DNS, netflow, certificates).
You have experience supporting analysts or operational users with high-stakes data needs.

Responsibilities

Lead the development and operation of a data lake for cyber operations and intelligence data.
Design schemas, partitions, and indexes that make complex datasets performant and cost-effective to query.
Partner with engineers and intelligence analysts to define query patterns and data products for mission use cases.
Build and evolve ETL pipelines that are observable, recoverable, and resilient to upstream change.
Drive technical initiatives end-to-end, from architecture decisions through production rollout and iteration.
Establish best practices for data quality, documentation, and operational ownership across the platform.
Mentor engineers on data modeling, performance tuning, and production-grade pipeline design.
Identify bottlenecks in storage/compute/query layers and ship improvements with clear performance wins.

Benefits

Medical, dental, and vision plan options.
Life / AD&D, disability coverage options.
Paid parental leave for eligible full-time employees.
12 weeks for birthing parents, 4 for non-birthing parents, 6 weeks for adoptive, foster, or intended parents through surrogacy.
Paid holidays and flexible PTO.
401(k) with pre-tax and Roth options.
HSA/FSA options, dependent care FSA.
Commuter benefits.
On-site garage parking.
Bike storage.
Building fitness center.
Desk setup stipend.