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8 часов назад

Data Engineer (Snowflake/Airflow)

95 000 - 106 000$
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 (Snowflake/Airflow): Building and maintaining scalable ETL/ELT pipelines and data solutions for government and commercial customers with an accent on Snowflake development, Apache Airflow orchestration, SQL transformations, and data quality. Focus on optimizing query performance and cloud data workflows, automating pipeline operations with Python, and solving reliability, security, and monitoring challenges.

Location: Remote, must live in the Continental US. Candidates must be US citizens or Permanent Residents. The company is based out of Washington, DC.

Salary: $95,000–$106,000 per year.

Company

hirify.global develops digital solutions and user experiences for government and commercial customers, focusing on efficiency and essential outcomes.

What you will do

  • Design, build, maintain, and deploy scalable ETL/ELT pipelines across development, test, and production environments.
  • Develop Apache Airflow DAGs, schedules, dependencies, retries, alerts, monitoring, and failure-handling workflows.
  • Build Snowflake schemas, tables, views, data-loading processes, SQL transformations, and performance optimizations.
  • Integrate data from databases, APIs, and files while maintaining consistency, lineage, quality, security, and accessibility.
  • Develop Python automation, operational documentation, validation checks, testing, and recovery procedures.
  • Collaborate on requirements, code reviews, technical design, CI/CD, troubleshooting, and continuous improvement with engineers, developers, analysts, and stakeholders.

Requirements

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or an Associate's degree plus two years of experience.
  • At least 3 years of professional experience in data engineering, data integration, ETL/ELT development, or a related technical field.
  • At least 3 years of hands-on experience with Snowflake and Apache Airflow in data engineering or pipeline development.
  • Strong SQL proficiency, including query development, data transformation, and performance optimization.
  • Experience developing, scheduling, monitoring, and troubleshooting Airflow pipelines and maintaining Snowflake data structures, transformations, and workflows.
  • Proficiency in Python or a comparable scripting language; understanding of relational databases, data modeling, integration patterns, and data quality practices.
  • Experience with Git and collaborative software development practices.
  • Strong analytical, troubleshooting, and problem-solving skills, with the ability to work independently and collaborate effectively.
  • Must live in the Continental US and be either a US citizen or Permanent Resident. Successful completion of a background check, background investigation, and standard onboarding is required; a Public Trust designation or security clearance may be required depending on agency requirements.

Nice to have

  • Experience with government contracting, healthcare, CMS, or another regulated environment.
  • Experience with AWS, Microsoft Azure, or Google Cloud Platform, including cloud storage and data ingestion tools.
  • Experience implementing CI/CD pipelines and automated testing for data workflows.
  • Knowledge of data governance, lineage, metadata management, and role-based access controls.
  • Experience with REST APIs, JSON, and structured or semi-structured data formats.
  • Familiarity with Docker.
  • Residence in a HUBZone-certified area is strongly encouraged.

Culture & Benefits

  • Remote-first work environment with a focus on impactful digital transformation.
  • Health care, dental, vision, and life insurance may be offered.
  • 401(k), paid time off, holidays, and other legally required paid leave may be offered.
  • Work supports government and commercial customers and requires compliance with applicable security, privacy, governance, and regulatory requirements.

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