Назад
Company hidden
12 часов назад

Data and Analytics Engineer 2 (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data and Analytics Engineer 2 (AI): Developing databases, queries, reports, dashboards, and analytical tools across modern and legacy data environments with an accent on AI technologies, Lakehouse architecture, AWS, APIs, SSIS, and Microsoft T-SQL. Focus on supporting data modernization, integrating analytics platforms with enterprise systems, troubleshooting production issues, and maintaining data quality.

Location: On-site at the Financial Center in Pittsburgh, Pennsylvania; candidates must be local or willing to relocate to the area. Employment-based visa sponsorship is not available, and candidates must be legally authorized to work in the United States.

Company

hirify.global is a financial corporation providing banking and business services through technology-enabled data and analytics solutions.

What you will do

  • Develop and test databases, queries, views, reports, dashboards, and other analytical solutions.
  • Collect, analyze, and share data to improve business metrics, customer experience, and business results.
  • Design reporting and analysis tools that improve reporting, planning, forecasting, and operational efficiency.
  • Support data conversions, imports, exports, and integrations between internal and external systems.
  • Troubleshoot analytics tools and production issues, track performance, and assist with application tuning.
  • Document data models, solutions, implementations, metadata, issues, and enhancement requests.

Requirements

  • Bachelor’s degree or equivalent relevant experience; two years of commensurate experience may substitute for an associate degree, or four years may substitute for a bachelor’s degree.
  • At least three years of related technical experience, including experience supporting a major business intelligence or data warehousing system.
  • Expert skills in data analysis and data mining.
  • Hands-on experience with AI technologies such as MCP or RAG, Lakehouse architecture, cloud platforms, APIs, SSIS, and Microsoft T-SQL.
  • Strong analytical, organizational, interpersonal, multitasking, and customer service skills.
  • Legal authorization to work in the United States is required; employment-based visa sponsorship is not provided.

Culture & Benefits

  • Work as part of the Technology business unit on cross-functional data-centric projects.
  • Collaborate with Business Information and Data Analysts to understand customer needs.
  • Follow corporate data policies, regulatory requirements, compliance procedures, and risk management standards.
  • Receive general guidance on new projects while exercising judgment within the scope of the role.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →