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2 дня назад

Data Engineer (Python) - Remote USA

81 499 - 167 644$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
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
Data Engineer (Python) (Data Engineering): Building and supporting reliable data pipelines, database solutions, APIs, and reporting integrations across PostgreSQL, Databricks, SQL, Python, and AWS QuickSight with an accent on data quality, security, and operational reliability. Focus on developing scalable data-processing workflows, optimizing database performance, integrating cloud reporting services, and collaborating on CI/CD and infrastructure as code.

Location: Remote within the United States only; the candidate must reside in the United States, be authorized to work there, and perform all work from the United States. Foreign access and personal VPN connections are prohibited.

Salary: $81,499.00–$167,644.00 annually for full-time employment.

Company

hirify.global is a mission-driven advisory and technology services provider that delivers secure solutions for complex client challenges.

What you will do

  • Design, develop, test, and maintain data pipelines and transformation workflows using Python, SQL, Databricks, and cloud technologies.
  • Develop and optimize PostgreSQL database objects, queries, data models, and data-access patterns.
  • Build DataConnect reporting integrations with AWS QuickSight and Databricks.
  • Develop REST API services and reusable components for secure data access and system integration.
  • Create data-quality checks, validation jobs, monitoring, alerts, and operational documentation.
  • Collaborate with data scientists, analysts, senior engineers, and DevOps on testing, CI/CD, infrastructure as code, deployment, security, and Agile delivery.

Requirements

  • Bachelor’s degree and at least 3 years of software development or data engineering experience.
  • At least 2 years of experience developing data pipelines or data-processing solutions with SQL and Python or a comparable language.
  • Hands-on PostgreSQL experience and strong knowledge of relational databases and SQL.
  • Experience with cloud-based data platforms and version-controlled development workflows.
  • Must be able to obtain and maintain a Public Trust clearance.
  • Must reside in the United States, have authorization to work in the United States, and have lived there for three full years out of the last five years.

Nice to have

  • Databricks, Spark, Airflow, AWS data services, or similar data pipeline and orchestration experience.
  • AWS QuickSight datasets, dashboards, or reporting integration experience.
  • REST API development, TypeScript, CI/CD, GitHub Actions, or Terraform experience.
  • Knowledge of data governance, metadata, lineage, secure data sharing, Agile, or test-driven development.

Culture & Benefits

  • Full-time remote work within the United States.
  • Mission-driven environment focused on improving lives and solving complex challenges.
  • Collaborative work with engineers, data scientists, analysts, and DevOps specialists.
  • Equal opportunity workplace with reasonable accommodations available.

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