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2 дня назад

Senior Data Engineer (Business Intelligence)

88 900 - 168 300$
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
Senior Data Engineer (Business Intelligence): Designing data models, ETL pipelines, semantic models, and dashboards for unified data platforms with an accent on dimensional modeling, scalable data integration, and business analytics. Focus on building cloud-based data solutions, analyzing complex business requirements, and solving data-driven problems across multiple business domains.

Location: Chicago, United States; hybrid workstyle aligned to an hirify.global office, with up to 20% travel.

Salary: $88,900–$168,300 annually, plus discretionary bonus eligibility.

Company

hirify.global provides professional services to middle-market clients globally.

What you will do

  • Create and maintain dimensional and 3NF data models aligned with business requirements.
  • Design and develop ETL pipelines that consolidate multiple source systems into unified data platforms, including source-to-target mappings, business rules, and transformations.
  • Develop semantic models, reports, and dashboards based on business requirements.
  • Facilitate requirements sessions and conduct data analysis to identify data needed for business objectives.
  • Collaborate with clients and team members across regions in office, virtual, and independent work settings.

Requirements

  • Bachelor’s degree or equivalent experience in Math, Computer Science, Information Systems, Finance, Accounting, Economics, or Analytics.
  • At least 3 years of experience designing data models across multiple subject areas and business domains.
  • At least 3 years of experience designing and developing business intelligence solutions.
  • At least 3 years of experience designing and developing scalable data pipelines to ingest, transform, and load data from multiple sources into data lakes and data warehouses.
  • Proficiency in SQL and experience with Python or Scala.
  • Experience with major cloud platforms such as Microsoft Azure, AWS, or GCP; data platforms such as Fabric, Databricks, or Snowflake; and Git, DevOps, CI/CD, and version control.
  • Experience with BI visualization tools such as Power BI, QuickSight, or Tableau.
  • Strong written and verbal communication, critical thinking, and problem-solving skills.
  • Team-oriented, with the ability to work independently and in virtual teams; willing and able to travel up to 20%.

Nice to have

  • Experience conducting solution or technical assessments.
  • Experience with dbt, Spark, and big data technologies.
  • Knowledge of Databricks.
  • Working knowledge of information management tools such as Collibra, Informatica, Talend, Alation, or Purview.

Culture & Benefits

  • Hybrid workstyle combining flexibility with in-person connection, aligned to an hirify.global office.
  • In-person collaboration is used when it supports clients, teams, development, or relationship-building; some roles may be virtual or primarily on-site based on requirements.
  • Competitive benefits and compensation package.
  • Equal employment opportunity and reasonable accommodation are provided.
  • hirify.global does not intend to hire entry-level candidates who require sponsorship now or in the future, including F-1 visa holders.

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