12 часов назад
Data Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (AI) (Python/data pipelines): Designing and maintaining data infrastructure, repositories, and ETL pipelines for AI-powered predictive intelligence and national security applications with an accent on data ingestion, transformation, governance, and scalable platform operations. Focus on extracting and modeling data from diverse sources, optimizing queries, supporting machine learning pipelines, and collaborating with analysts, data scientists, developers, and clients.
Location: Washington, D.C., United States. United States Citizenship is a strict minimum requirement; travel to client sites is expected.
Company
is a Silicon Valley startup developing AI-powered predictive intelligence products for defense, national security, energy, and healthcare.
What you will do
- Develop code and scripts to automate data ingestion and improve data management.
- Architect data repositories, establish data platforms, and build pipelines for data ingestion, transformation, and aggregation.
- Improve data governance, data quality, metadata management, and existing data architecture.
- Extract and analyze data from multiple sources using APIs, SQL stored procedures, and Python.
- Convert data into usable formats and support the scaling, monitoring, and operation of data platforms.
- Collaborate with analysts, data scientists, engineers, developers, data consumers, and clients, while communicating project status and results to leadership.
Requirements
- Bachelor’s degree in data analytics, computer science, computer engineering, information systems, or a related field with at least one year of professional experience, or a master’s degree with strong academic project experience.
- Experience with Python, Pandas, and NumPy; familiarity with additional programming or scripting languages is useful.
- Experience with relational, NoSQL, or file-based storage systems such as MySQL, MongoDB, SQL Server, Oracle, PostgreSQL, HBase, or DynamoDB.
- Experience building and maintaining ETL data pipelines, including software development lifecycle activities such as testing, documentation, delivery, and support.
- Working knowledge of AWS or other cloud technologies, query optimization, and data modeling.
- United States citizenship is required. Active Secret or Top Secret clearance is a plus.
Nice to have
- Familiarity with machine learning frameworks such as TensorFlow or Scikit-Learn.
- Active Secret or Top Secret security clearance.
Culture & Benefits
- Cross-disciplinary, fast-paced startup environment focused on national security and mission-driven data products.
- Medical, dental, and vision coverage for employees and dependents.
- 401(k) matching program, paid time off, and holidays.
- Bonus and other incentive programs.
- Mental health support and flexible spending accounts for healthcare, dependent care, and commuting.
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