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Data Engineer (Python)

112 597 - 152 811$
Формат работы
remote (только USA)/hybrid
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/ETL): Building and maintaining data pipelines and analytical data solutions for a federal customer business intelligence platform with an accent on structured and unstructured data processing, ETL, and data reliability. Focus on automating data ingestion, designing API-first solutions, validating complex datasets, and delivering scalable analytics capabilities.

Location: Hybrid or remote within the United States; offices listed in Boston, MA and Philadelphia, PA

Salary: $112,597.33–$152,810.66 per year

Company

hirify.global delivers technology and professional services that simplify government operations and solve complex challenges for federal customers.

What you will do

  • Develop and maintain data pipelines that store, manage, and provision data for consumers.
  • Build reliable data extraction and processing code for structured and unstructured sources.
  • Automate data ingestion and implement ETL, testing, and validation processes.
  • Apply API-first design, continuous integration, version control, and automated testing practices.
  • Translate complex and evolving requirements into documented data solutions with program managers and engineers.
  • Collaborate in an Agile/Scrum cross-functional team with product, engineering, UX, and other specialists.

Requirements

  • Must be a US citizen and able to obtain a Public Trust Clearance.
  • 7+ years of IT experience designing, managing, and solving for large, complex datasets and data models.
  • Experience developing pipelines from multiple structured and unstructured data sources.
  • Proficiency with ETL processes, data manipulation, and testing using Python, R, SQL, or SAS.
  • Knowledge of big data analysis and storage technologies, relational databases such as PostgreSQL, Git, Agile practices, and CI/CD pipelines.
  • Ability to communicate technical concepts to non-technical audiences and translate requirements into data strategies.

Nice to have

  • Experience creating and consuming APIs.
  • Experience with DHS and DHS standards.
  • Extensive Python experience.
  • Experience with Tableau or Power BI visualizations and Shell scripting on Linux.

Culture & Benefits

  • Collaborative environment focused on innovation, customer service, and teamwork.
  • Professional growth through learning opportunities.
  • Health, dental, and vision insurance.
  • Life insurance, 401(k), and flexible spending accounts.
  • Paid time off and state and federal holiday observance.

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