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11 дней назад

ETL Software Engineer (Python)

90 360 - 201 581$
Формат работы
hybrid
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
ETL Software Engineer (Python/Elasticsearch): Building and optimizing high-performance data pipelines for a web-based search and analytics application with an accent on data extraction, transformation, loading, and relational database integration. Focus on developing Python data adapters, optimizing SQL queries and workflows, and scaling ETL processes across heterogeneous data sources.

Location: Hybrid in Chantilly, Virginia, with one to three days per week onsite. The role requires an active Top Secret clearance, SCI eligibility, and the ability to pass a CI polygraph.

Salary: $90,360.09–$201,581.46 per year.

Company

hirify.global provides advanced software, systems engineering, research, and data-processing solutions for the U.S. Federal Intelligence Community.

What you will do

  • Design, build, and optimize high-performance ETL and ELT pipelines.
  • Extract, transform, and load data from relational databases and multiple file formats.
  • Develop Python data adapters for a web-based search and analytics application.
  • Optimize SQL queries and data workflows for speed and scale.
  • Work with Elasticsearch or OpenSearch and support data integration across enterprise systems.
  • Collaborate in Agile Scrum teams using version control and collaborative coding practices.

Requirements

  • Active Top Secret clearance, SCI eligibility, and ability to pass a CI polygraph.
  • Bachelor’s degree in computer science, information systems, engineering, or a related field, or equivalent experience.
  • 5+ years of data engineering experience, including ETL/ELT pipelines, SQL optimization, and relational databases such as Oracle, PostgreSQL, MySQL, or MSSQL.
  • 3+ years of Python development focused on ETL processes.
  • Experience with Elasticsearch or OpenSearch, Git, Bash, Docker, Linux, and Agile Scrum.

Nice to have

  • Knowledge of data quality, validation, monitoring, governance, metadata management, and data lineage.
  • Experience with data warehousing, big data frameworks, and API-based enterprise data integration.
  • Strong understanding of data transformation, cleansing, and normalization.

Culture & Benefits

  • Hybrid work arrangement in Chantilly, Virginia.
  • Medical insurance cost sharing for employees and dependents.
  • Company-paid dental, vision, short- and long-term disability insurance.
  • 401(k) plan with a generous match and immediate vesting.
  • Paid leave, holidays, tuition reimbursement, training reimbursement, and life and AD&D insurance.

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