3 дня назад
Data Engineer (Databricks)
98 614 - 202 850$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Databricks) (Azure/Databricks): Building secure data exchanges, scalable ETL pipelines, data lakes, warehouses, and ML pipelines for a federal emergency management platform with an accent on Delta Sharing, Spark optimization, data quality, and cloud-native architecture. Focus on designing performant end-to-end data architectures, preparing data for data science and MLOps, and translating complex stakeholder needs into scalable solutions.
Location: Fully remote within the United States, with up to 10% travel to the DC Metropolitan area for client meetings. Work from foreign locations and access through foreign IP addresses are prohibited.
Salary: $98,614–$202,850 annually
Company
is a global advisory and technology services provider helping clients solve complex challenges through consulting and technology.
What you will do
- Enable secure, scalable data exchange with federal clients and external partners using Databricks Delta Sharing.
- Design and develop Azure-based data pipelines and ETL routines for relational, API, semi-structured, and unstructured data.
- Profile, transform, validate, and assure the quality of data used across analytics and machine learning workflows.
- Build and optimize data lakes, feature stores, data warehouses, BI dashboards, and ML pipelines.
- Engage with clients, government stakeholders, vendors, analysts, developers, and end users to define data and reporting requirements.
- Support Agile delivery, rapid prototypes, backlog refinement, sprint execution, and mentorship of junior resources.
Requirements
- Bachelor’s degree and 5+ years of experience in data engineering, data security practices, data platforms, and analytics.
- U.S. citizenship, U.S. residence, and authorization to work in the U.S. are required.
- All work must be performed in the United States; candidates must have lived in the U.S. for three full years out of the past five.
- Ability to obtain and maintain a federal public trust clearance or equivalent background investigation.
- At least 3 years of Databricks platform expertise and 4+ years of ETL pipeline development, including Delta Lake, Delta Sharing, Apache Spark, and distributed computing.
- Advanced Python, expert SQL, Azure services, data architecture, MLOps, Git-based version control, CI/CD, DevOps, and Terraform experience.
Nice to have
- Professional or specialty Databricks certifications.
- Experience with Scala, Tableau, Power BI, or similar visualization tools.
- Emergency management domain knowledge.
Culture & Benefits
- Collaborative, cross-functional work with data engineers, developers, analysts, designers, and business stakeholders.
- Fully remote work within the United States with limited client travel.
- Work on a modular, cloud-native platform supporting emergency management services.
- Equal opportunity workplace with reasonable accommodations available throughout the employment process.
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