2 дня назад
Senior Manager, Data Engineering (AI)
179 000 - 203 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Data Engineering (AI): Building TNC's cloud data engineering platform from the ground up with an accent on production pipelines, data quality, governance, and cost management. Focus on designing scalable data models and distributed batch and streaming systems, establishing engineering standards, and leading the team responsible for reliable platform operation.
Location: Washington, DC, United States
Salary: $179,000–$203,000 annually, paid bi-weekly.
Company
is an AI-first technology startup developing a fleet-scale approach to building the next generation of nuclear reactors.
What you will do
- Build and operate the company’s cloud data engineering platform from the ground up.
- Make technical decisions covering data models, tooling, pipelines, deployment, and engineering standards.
- Develop production data pipelines and turn them into reusable components, testing standards, and code review practices.
- Recruit, supervise, mentor, and develop a team of data engineers while owning delivery and technical quality.
- Implement data quality, automated testing, data contracts, lineage tracking, monitoring, access controls, PII handling, retention, and audit practices.
- Partner with business units to gather requirements, define technical specifications, and manage cloud infrastructure costs.
Requirements
- Bachelor’s degree and at least 8 years of related experience, or an equivalent combination of education and experience.
- At least 3 years of experience supervising data engineers and developing engineering staff.
- Experience designing, building, and operating production data platforms in a cloud environment.
- Experience with SQL and at least one general-purpose programming language, such as Python.
- Knowledge of distributed data processing, data modeling, and batch and streaming systems.
- Experience with infrastructure as code, version control, code review, automated testing, data quality, observability, and cloud cost management.
Nice to have
- Experience establishing data infrastructure where little or no prior capability existed.
- Experience with AWS data services, Airflow, Dagster, Prefect, dbt, Iceberg, Terraform, CDK, CloudFormation, GitHub Actions, Kafka, Flink, or Spark Structured Streaming.
- Experience with geospatial data or Palantir.
- Ability to work independently and collaborate effectively in a decentralized organization.
Culture & Benefits
- AI-first working model incorporating AI, technology, and the Nuclear Operating System into daily work.
- Purpose-driven environment focused on building new nuclear energy infrastructure.
- 401(k) with company match.
- Medical, dental, and vision plans.
- Generous vacation policy and holidays.
- Export-control compliance may limit consideration of certain applicants.
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