Engineer
US$120,000 – US$180,000 / yr base salary
Posted 28 Aug 2026
Advertised as “Senior Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- Individual contributor
- Employment
- On-Site
| Base salary | US$120,000 – US$180,000 / yr |
|---|
This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.
Who we are:
Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.
We’re looking for an experienced Senior Engineer to support our customers and join our passionate team of high-impact problem solvers.
About the role:
Raft is building a data platform for the Department of Defense (DoD), aimed at enhancing operators' awareness of critical data. This data is subsequently enriched, rendered queryable, and ultimately presented as a common operational picture to empower operators in making time critical and pertinent decisions. Key technologies include Kafka, Kafka Streams, Pinot, Java, Scala, and Kubernetes. Your involvement in this role will encompass hands-on collaboration with a team of accomplished individuals, collectively striving towards excellence.
What you will do:
- Build data infrastructure and platforms using diverse data frameworks such as Apache Kafka, Flink, and Kafka Streams
- Build Extract, Transform, Load (ETL) pipelines to enable comprehensive data operations
- Leverage software engineering principles to architect, develop, and implement large scale data applications
What we are looking for:
- Three plus years of hands-on relevant industry experience
- Experience with large-scale relational and non-relational databases such as PostgreSQL, MySQL, MongoDB, and Elasticsearch to handle low-latency requirements
- Experience or knowledge of service mesh technologies, such as Istio
- Experience with supporting enterprise Cloud applications or infrastructure
- Experience in automation languages like Python or GoLang
- Experience in data management including ETL processing, data governance, and data storage