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3 дня назад

Senior Software Engineer II (Data Pipelines)

155 000 - 180 000$
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
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Описание вакансии

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TL;DR
Senior Software Engineer II (Data Pipelines) (Python/Airflow/dbt): Building and optimizing automated data ELT pipelines and the Polaris marketing intelligence platform with an accent on workflow orchestration, scalable architecture, and data reliability. Focus on designing reusable dbt and Airflow patterns, optimizing PostgreSQL and BigQuery performance, and leading data security, governance, and CI/CD practices.

Location: Remote within most states in the United States, with some exclusions. Office hubs are available in Los Angeles, Chicago, and New York.

Salary: $155,000–$180,000 annually, plus benefits.

Company

hirify.global develops Polaris, a marketing intelligence and operational data platform that provides a shared marketing data foundation, insights, and CRM capabilities.

What you will do

  • Lead complex data engineering projects and serve as a technical leader for pipeline automation and workflow orchestration.
  • Design, implement, maintain, and optimize reliable ELT pipelines using Airflow, dbt, and Google Cloud data products.
  • Manage a large portfolio of dbt models, including macros, reusable DRY patterns, and dbt tests.
  • Architect scalable data solutions, reusable patterns, integrations, and deployment documentation.
  • Monitor and troubleshoot pipeline performance while improving delivery speed, quality, security, governance, and compliance.
  • Mentor engineers, collaborate with cross-functional teams, and participate in Agile ceremonies and continuous improvement.

Requirements

  • 7+ years of software development experience with extensive Python, SQL, and data pipeline experience.
  • Expertise building and automating ETL/ELT pipelines with Airflow and DAG-based workflow management.
  • Deep experience with dbt models, macros, tests, PostgreSQL, and BigQuery, including query optimization for performance and cost.
  • Experience with Google Cloud Platform, Kubernetes, Terraform, API integrations, software architecture, and advanced data formats including Parquet, Avro, Hive, and JSONL.
  • Familiarity with version control, GitHub Actions, CI/CD, test-driven development, Agile methodologies, and business intelligence tools such as Looker.
  • Must be authorized to work in the United States; immigration sponsorship is not available.

Nice to have

  • Experience with Airbyte for data ingestion.
  • Experience with monitoring and logging tools such as Prometheus and Grafana.

Culture & Benefits

  • Remote work flexibility within most US states, with optional access to office hubs and in-person collaboration.
  • Unlimited paid time off and an extended winter holiday break.
  • 100% paid parental leave.
  • 401(k) matching and medical, dental, vision, life, pet, and disability insurance.
  • Annual Class Pass credits and an inclusive, non-discriminatory workplace.

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