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HomeCompaniesTwentyStaff Data Engineer - TS/SCI Cleared

Staff Data Engineer - TS/SCI Cleared

Twenty · Arlington, VA · On Site · Active · Ashby

Job facts

FieldValue
CompanyTwenty
TitleStaff Data Engineer - TS/SCI Cleared
Normalized title-
Department / teamEngineering / Engineering, SWE
LocationArlington, VA, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Twenty.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Arlington.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyTwenty
Sourcebc6d617e-ee42-4441-8762-b1e8f088da0b
ATS providerAshby

Description

About the Company America is under sustained cyber attack. Our adversaries infiltrate our networks, steal our IP, and degrade the digital infrastructure that modern life runs on. They’ve learned—correctly—that those attacks rarely produce consequences. Twenty was founded to change that, by making our adversaries think twice before they attack us. Our vision is American and allied primacy in cyberspace—a future where they cannot contest us, deterrence is assured, and the free world remains secure. Founded in 2024, Twenty Technologies ( www.twenty.io ) industrializes offensive cyber operations for the U.S. and its allies. Headquartered in Arlington, Virginia, Twenty has raised $38M from Caffeinated Capital, General Catalyst, and In-Q-Tel. Role Summary 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. Who You Are You think in systems: data modeling, storage formats, compute engines, and access patterns all have to fit together. You’re opinionated about schema and index design, and you can explain tradeoffs clearly. You default to measurable reliability: data quality, lineage, repeatability, and operational excellence. You’re comfortable working with ambiguous datasets and evolving requirements without lowering standards. You collaborate tightly across roles, especially with engineers and analysts who need fast, correct answers. You take leadership seriously—mentoring others, raising the bar, and driving initiatives to completion. You’re 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 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 Have 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. Tech Environment (You Might Work With) 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 What's on the table: 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. At the office. Commuter benefits. On-site garage parking. Bike storage. Building fitness center. Desk setup stipend. Benefits vary by location, role, and eligibility. Full plan details provided during the interview and offer process. If this role sounds like you, apply and share with us your interest. Some positions may require eligibility to obtain a U.S. Government security clearance. Any clearance requirement will be listed in the role description. Twenty is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected status. If you need a reasonable accommodation during the hiring process, let us know and we will work with you.

Full job record

Job IDcf8d73c514d7a6ba99ebd0d40b406a61087d3f56
Org ID85ca1961-8a89-4364-807f-a5b410915e95
Source IDbc6d617e-ee42-4441-8762-b1e8f088da0b
Board IDbc6d617e-ee42-4441-8762-b1e8f088da0b
Providerashby
Provider Job Keya40f7422-c005-49b6-8a2b-b8007016ae7c
TitleStaff Data Engineer - TS/SCI Cleared
Normalized Title
Statusactive
Activeyes
Location TextArlington, VA
DepartmentEngineering
TeamEngineering, SWE
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionVA
CityArlington
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/twenty/a40f7422-c005-49b6-8a2b-b8007016ae7c
Apply URLhttps://jobs.ashbyhq.com/twenty/a40f7422-c005-49b6-8a2b-b8007016ae7c/application
First Seen At2026-05-29 07:13:43Z
Last Seen At2026-06-06 09:39:52Z
Last Checked At2026-06-06 09:39:52Z
Last Changed At2026-05-29 07:13:43Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=twenty/date=2026-06-06/2026-06-06T09-39-30-846Z-2fca9d72db45a4c70024a9b88ea16a964fac03b42cc136edf78466942df1d5f7.json
Event Fields
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  "active_status": "active"
}
Parsed Structured
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  "workplace_type": "on_site",
  "salary_currency": null
}
Extensions
{}
Native Structured
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  "title": "Staff Data Engineer - TS/SCI Cleared",
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  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/twenty/a40f7422-c005-49b6-8a2b-b8007016ae7c/application",
  "isListed": true,
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  "location": "Arlington, VA",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Engineering",
  "publishedAt": null,
  "workplaceType": "OnSite",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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