Staff Data Engineer - TS/SCI Cleared
About The Company
Twenty Technologies (www.twenty.io) industrializes offensive cyber operations for the U.S. and its allies. Founded in 2024, Twenty has raised $138M from leading investors including Accel, Caffeinated Capital, Friends & Family Capital, Point72 Ventures, General Catalyst, and In-Q-Tel. Headquartered in Arlington, Virginia, Twenty is dedicated to ensuring American and allied primacy in cyberspace.
Role Summary
You will own the data infrastructure that powers Twenty’s cyber operations applications and capabilities. This role involves 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 transform 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.
Who You Are
- Think in systems: data modeling, storage formats, compute engines, and access patterns all have to fit together.
- Opinionated about schema and index design, and you can explain tradeoffs clearly.
- Default to measurable reliability: data quality, lineage, repeatability, and operational excellence.
- Collaborate tightly across roles, especially with engineers and analysts who need fast, correct answers.
- Take leadership seriously—mentoring others, raising the bar, and driving initiatives to completion.
- Motivated by national security outcomes and want your work to matter in the real world.
What You’ll Do
- 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.
Must Have
- 8+ years of experience in data engineering and/or data architecture.
- Mastery-level expertise building ETL pipelines and operating them in production.
- Deep experience with data lake architecture and systems used to query data lakes.
- Strong schema and index design skills, including partitioning, indexing, and clustering strategies.
- Experience with column-oriented databases in production environments.
- Built data systems from scratch (not just maintained existing platforms).
- Proven leadership experience mentoring engineers and driving technical initiatives.
- A U.S. citizen and able to meet the role’s security requirements.
Nice To Have
- Experience with key-value datastores.
- Worked with streaming and message queue systems.
- Experience with graph database technologies.
- Worked with internet/networking datasets (e.g., scan data, DNS, netflow, certificates).
- Worked with analysts or operational users with high-stakes data needs.
Tech Environment
- Data lakes: Apache Iceberg, Delta Lake, Apache Hive
- Query engines: Trino, Presto, AWS Athena, Apache Spark
- Column stores: ClickHouse, Amazon Redshift, Google BigQuery
- ETL / orchestration: Airflow, AWS Glue, NiFi, ClickPipe
- Streaming / queues: Kafka, RabbitMQ, NATS, AWS Kinesis
- Graph: Neo4j, AWS Neptune, Memgraph, Apache AGE
Security / Work Environment
This role requires an active TS/SCI security clearance with appropriate polygraph and the ability to maintain it. This role is on-site in Arlington, VA with occasional travel to Fort Meade, MD.
Benefits
- Health. Medical, dental, and vision plan options.
- Life / AD&D, disability coverage options.
- Family. 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.
- Vacation. Paid holidays and flexible PTO. Take what you need.
- Retirement. 401(k) with pre-tax and Roth options. HSA/FSA options, dependent care FSA.