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7 дней назад

Sr. Databricks Consultant (Public Trust)

175 000 - 250 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr. Databricks Consultant (Public Trust): Designing and optimizing scalable Databricks data platforms, ETL/ELT pipelines, and machine learning workflows with an accent on performance, cloud integration, governance, and security. Focus on tuning clusters and data pipelines, implementing compliant lakehouse architectures, and delivering advanced analytics solutions for customer environments.

Location: Arlington, Virginia office or remote within the United States; travel to customer sites may be required.

Salary: $175,000–$250,000 per year

Company

hirify.global delivers technology solutions in data and AI, cybersecurity, and enterprise transformation for defense, intelligence, and federal civilian agencies.

What you will do

  • Design, build, and maintain scalable ETL/ELT pipelines in Databricks.
  • Optimize Databricks workflows and clusters for performance and cost efficiency.
  • Integrate Databricks with AWS, Azure, or GCP cloud platforms.
  • Implement data governance, security, and compliance standards.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality datasets and insights.
  • Troubleshoot data infrastructure issues and drive continuous improvement.

Requirements

  • Active Public Trust clearance required.
  • US citizenship required by contract.
  • Production experience with Databricks and hands-on experience building and managing ETL/ELT pipelines.
  • Strong proficiency in Python and/or SQL, Apache Spark, data modeling, data quality, and performance tuning.
  • Knowledge of data lakehouse architecture, cloud data platforms, CI/CD, and Git.
  • Bachelor’s degree in Computer Science, Information Security, or a related field, or equivalent experience.

Nice to have

  • Master’s degree or PhD in Computer Science, Data Science, or a related field.
  • Experience with MLflow, Delta Lake, Unity Catalog, streaming technologies, and infrastructure as code.
  • Background in data security, compliance, DevOps/MLOps, consulting, or customer-facing work.
  • Experience with Tableau, Power BI, Looker, project management, or Agile methodologies.

Culture & Benefits

  • Work supporting professional services and managed cybersecurity programs.
  • Mission-driven environment focused on innovation, accountable delivery, and professional development.
  • General employee benefits are provided.

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