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2 дня назад

Senior Data Engineer (Databricks/AWS)

130 000 - 135 000$
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

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TL;DR
Senior Data Engineer (Databricks/AWS): Building and optimizing ETL pipelines, data marts, and lakehouse architectures for enterprise analytics, reporting, and business intelligence with an accent on scalable data processing, data modeling, and cloud-native platforms. Focus on designing medallion architectures, tuning SQL and pipeline performance, integrating downstream systems, and maintaining governed data products.

Location: Duluth, Georgia, United States

Salary: $130,000–$135,000 per year

Company

hirify.global is a large financial services company recognized as a leading workplace for employee excellence and diversity.

What you will do

  • Design, develop, and maintain scalable ETL processes and data architecture for analytics, reporting, dashboards, and business intelligence.
  • Own the end-to-end development and maintenance of data marts, metadata, data models, and data products.
  • Develop and enhance lakehouse and medallion architectures in Databricks and AWS environments.
  • Integrate data solutions with applications and downstream systems while maintaining code artifacts in version control.
  • Participate in Agile and Scrum processes and use AI tools such as GitHub Copilot for prototyping and development.
  • Mentor junior engineers through best-practice guidance, code reviews, and effective Jira usage.

Requirements

  • Bachelor’s degree in Information Technology, Computer Science, Engineering, or equivalent practical experience.
  • At least five years of IT experience with strong hands-on experience in data engineering and enterprise data solutions.
  • Advanced Databricks experience, including notebooks, workflow and job orchestration, data operations, infrastructure as code, cluster management, and scalable data processing.
  • Experience with AWS services including S3, EC2, Lambda, and IAM.
  • Strong Python and SQL programming skills, including advanced SQL query tuning and performance optimization.
  • Advanced database modeling knowledge with IBM DB2, Databricks, MongoDB, and SQL Server, plus experience with data governance platforms such as Collibra.

Nice to have

  • Experience with Kafka, AWS Kinesis, Power BI, Tableau, data virtualization, Kubernetes, or Terraform.
  • Experience creating test data for lower environments and using GitHub Copilot, Claude Code, or similar AI tooling.
  • Knowledge of Palantir and experience working with analysts and business stakeholders.

Culture & Benefits

  • Health, dental, and vision insurance from day one.
  • 401(k) plan with an employer match.
  • Vacation, sick, holiday, and volunteer time off.
  • Life and disability insurance, plus flexible spending and health savings accounts.
  • Professional development, tuition reimbursement, and company-sponsored social and philanthropy events.
  • Employment sponsorship is not available now or in the future.

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