Назад
Company hidden
6 дней назад

Senior Software Engineer (Data Analytics)

105 700 - 149 275$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
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
Senior Software Engineer (Data Analytics): Modernizing enterprise reporting and analytics solutions across cloud data warehouses, data pipelines, semantic layers, and legacy reporting systems with an accent on report migration, data lineage, governance, and performance. Focus on designing scalable technical solutions, reconciling legacy and modern outputs, validating data accuracy, and leading reporting architecture improvements.

Location: Remote - Nationwide, United States. Applicants must be authorized to work for any employer in the U.S.; visa sponsorship, including CPT/OPT sponsorship, is not available.

Base salary: $105,700–$149,275 per year, with potential participation in a bonus program.

Company

hirify.global provides financial services focused on helping customers achieve financial freedom and supporting financial well-being.

What you will do

  • Lead discovery, assessment, consolidation, modernization, migration, and decommissioning of enterprise reports.
  • Transform legacy reports into modern reporting and analytics solutions while preserving functional accuracy.
  • Translate business reporting requirements into scalable technical designs, data models, transformation logic, and implementation plans.
  • Design and optimize data pipelines, queries, semantic layers, datasets, and reporting structures.
  • Define reconciliation, regression, performance, and user acceptance testing approaches.
  • Lead design reviews, code reviews, troubleshooting sessions, governance activities, and mentoring for engineers.

Requirements

  • 5+ years of relevant experience in software engineering, enterprise reporting, business intelligence, data warehousing, or data analytics.
  • Bachelor’s degree in computer science, information technology, engineering, data analytics, or a related field, or equivalent professional experience.
  • Hands-on experience with cloud data warehouses, data analytics platforms, relational databases, advanced SQL, and query optimization.
  • Experience with reporting architecture, data pipelines, semantic models, metadata management, data lineage, and legacy report analysis.
  • Ability to troubleshoot complex data discrepancies and reconcile outputs across legacy and modern platforms.
  • Must be authorized to work for any U.S. employer; visa sponsorship is not available.

Nice to have

  • Experience with Power BI, Amazon QuickSight, or comparable business intelligence and visualization tools.
  • Experience with AWS services such as S3, Lambda, Step Functions, IAM, and CloudWatch.
  • Experience with dbt, Airflow, CI/CD pipelines, version control, or AI-based development tools.
  • Knowledge of data governance, master data management, enterprise security controls, or large-scale business intelligence modernization.

Culture & Benefits

  • Remote work in a flexible and inclusive environment, with reliable high-speed wired internet and a suitable home workspace required.
  • Medical, dental, vision, and life insurance.
  • 401(k) plan with company matching contributions of up to 6%.
  • Paid time off, company holidays, floating holidays, paid volunteer time, and parental and disability leave programs.
  • Tuition reimbursement of up to $5,250 per year and access to inclusion-focused Business Resource Groups.

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 →