- Страна
- США
- Зарплата
- 130 000 $ – 160 000 $
Откликайтесь
на вакансии с ИИ

Data Engineer
Привлекательная вакансия с конкурентной зарплатой, возможностью работы с современным стеком (Kubernetes, AWS) и гибридным графиком, однако требует гражданства США и готовности к проверке безопасности.
Сложность вакансии
Средне-высокая сложность обусловлена необходимостью соответствия строгим требованиям безопасности (Secret clearance) и владением широким стеком технологий, включая Kubernetes и DevSecOps в контексте DoD.
Анализ зарплаты
Предлагаемый диапазон $130k–$160k полностью соответствует рыночным ожиданиям для Data Engineer уровня Middle/Senior в регионе Вирджиния/Вашингтон, особенно с учетом требований к допуску к секретной информации.
Сопроводительное письмо
I am writing to express my strong interest in the Data Engineer position at Dark Wolf Solutions. With over three years of experience in building robust data pipelines and a deep proficiency in Python, FastAPI, and AWS services, I am confident in my ability to contribute to your mission-critical projects. My background in implementing DevSecOps best practices and Test Driven Development aligns perfectly with your team's commitment to delivering high-quality, secure software solutions for DoD customers.
Throughout my career, I have focused on designing OpenAPI-compliant schemas and optimizing data persistence using SQL and ORM libraries. I am particularly excited about the opportunity to work with Rancher Kubernetes and AWS EMR within your hybrid environment. Having worked in Agile teams, I value collaborative problem-solving and am eager to bring my technical expertise in data engineering and cloud infrastructure to Dark Wolf Solutions.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в darkwolfsolutions уже сейчас
Присоединяйтесь к Dark Wolf Solutions и создавайте передовые решения для обработки данных в интересах национальной безопасности США!
Описание вакансии
Dark Wolf Solutions is looking for a Data Engineer to join our team working out of Falls Church, VA. This position will have hybrid/remote flexibility. The Data Engineer will be responsible for designing, building, and optimizing robust data pipelines and data infrastructure to ensure the reliability, accessibility, and quality of data for analytics and mission-critical applications. The ideal candidate will leverage extensive experience with data engineering principles, DevSecOps best practices, Test Driven Development (TDD), and User Centered Design (UCD) principles to rapidly develop and deliver first-class, customer-centric software solutions. They will utilize leading languages and frameworks, including Python (FastAPI), AWS, and Rancher Kubernetes, to automate testing and ensure delivered software meets and exceeds customer needs, all while working collaboratively within a dedicated team..
Key Responsibilities:
- Using DevSecOps best practices to rapidly develop and deliver first class solutions for a DoD customer
- Developing software using leading languages and frameworks including Python (FastAPI), AWS, and Rancher Kubernetes
- Leveraging Test Driven Development and User Centered design best practices automate testing and ensure delivered software meets and exceeds customer needs
- Applying software design best practices to identify and analyze potential solutions, generate design diagrams to convey and capture system design, and participate in technical exchange meetings to discuss with the team and customer stakeholders
- Embracing a shared responsibility for system security
- Performing threat modeling to identify and mitigate system security threats, implement protective and preventive security measures continuously throughout the software development lifecycle
- Continuously engaging with project teams to deliver quality products
- Participating in daily standups, sprint planning/review meetings, discover and framing workshops, and customer demo sessions
Required Qualifications:
- B.S. in Computer Science (or equivalent experience) and at least 3 years professional experience working as part of an Agile team using DevOps practices and modern programming languages and frameworks to develop and engineer data-related services and applications to cloud platforms
- Experience with modern programming languages and frameworks including Python (FastAPI, Django, Flask), JavaScript (Node.js, Express, Vue, Svelte, React), and Java (Spring Boot)
- Experience developing data focused solutions to include experience designing and implementing OpenAPI compliant data schemas and REST APIs, implementing data persistence and query logic using Object Relational Mapping (ORM) libraries and SQL, and implementing data validation business rules
- Experience developing AWS cloud solutions with a specific focus on data services such as S3, RDS, and EMR
- US Citizenship required, must be clearable up to a Secret security clearance
Desired Qualifications:
- M.S in Computer Science or related
- Experience with AI/ML
- Experience with Kubernetes (Rancher RKE2, AWS EKS) and microservice architectures
- Experience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR
- Experience with NIST Risk Management Framework and security accreditation process and tasks
This position has hybrid schedule flexibility. The salary range is expected to be between $130,000.00 - $160,000.00, commensurate on experience.
We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- AWS
- Python
- SQL
- Kubernetes
- PostgreSQL
- React
- Docker
- Java
- REST API
- Apache Airflow
- Spring Boot
- DevSecOps
- Node.js
- FastAPI
- Flask
- Django
- Trino
Возможные вопросы на собеседовании
Вакансия подразумевает работу с государственными заказчиками (DoD), где безопасность является приоритетом.
Как вы интегрируете принципы DevSecOps и моделирование угроз в процесс разработки конвейеров данных?
В описании указано использование FastAPI и REST API.
Опишите ваш опыт проектирования схем данных, соответствующих спецификации OpenAPI, и обеспечения валидации бизнес-правил.
Компания использует Rancher и AWS EKS.
Каков ваш опыт контейнеризации приложений для обработки данных и управления ими в среде Kubernetes?
Упоминается использование TDD.
Как вы подходите к тестированию ETL-процессов и автоматизации тестов для обеспечения качества данных?
Желателен опыт работы с Airflow и Trino.
Расскажите о самом сложном конвейере данных, который вы оптимизировали с использованием инструментов Big Data или оркестрации.
Похожие вакансии
Инженер Mlops (Senior)
Middle+ ML разработчик
Senior MLOps Engineer (Platform Development / LLMOps)
Data engineer
Senior Data Engineer
Data Scientist Senior (Part-time)
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- США
- Зарплата
- 130 000 $ – 160 000 $