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10 часов назад

Sr Data Engineer (Azure)

141 800 - 173 300$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Georgia/Washington
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
Sr Data Engineer (Azure/data platforms): Building enterprise-scale cloud data solutions and pipelines for operational reporting, analytics, governance, automation, and AI-driven capabilities with an accent on Azure services, data modeling, and scalable integrations. Focus on designing batch, near-real-time, and API-based workflows, implementing data quality and lineage practices, and improving reliability through CI/CD, testing, monitoring, and observability.

Location: Remote within Washington, Oregon, Idaho, Arizona, Texas, Georgia, South Carolina, North Carolina, California, or Virginia. Washington residents within a reasonable driving distance of Tukwila must work from headquarters on Tuesdays and Wednesdays; candidates outside the commute distance in approved states may work remotely.

Salary: $141,800–$173,300 target annual pay range; full annual pay range of $110,100–$204,900. Performance-based compensation incentives may also be available.

Company

hirify.global is a member-focused financial institution serving 1.5 million members and managing more than $30 billion in assets.

What you will do

  • Design, develop, test, debug, and document complex cloud-native data solutions and integration services.
  • Build and support batch, near-real-time, and API-based data workflows and enterprise data pipelines.
  • Implement data governance, metadata management, master data, data quality, lineage, and data curation practices.
  • Develop scalable data products supporting reporting, analytics, automation, and AI-enabled capabilities.
  • Improve engineering excellence through CI/CD, automated testing, code reviews, coding standards, monitoring, and observability.
  • Collaborate with architects, product owners, governance, security, platform engineering, and business teams while mentoring data engineers.

Requirements

  • Bachelor’s degree in computer science or a related discipline, or equivalent experience.
  • At least 5 years of functional data engineering experience and 4 years of experience with Python, Scala, Java, or SQL.
  • Experience with cloud platforms such as Azure, AWS, or GCP and modern data platforms including Azure Synapse, Azure Databricks, Redshift, BigQuery, or Snowflake.
  • Experience with ETL/ELT, SQL, data modeling, data warehousing, ODS, data lakes or lakehouses, and cloud integration tools such as Azure Data Factory.
  • Experience with Azure services including Azure SQL, Cosmos DB, Event Hubs, Azure Storage, Azure Functions, Container Apps, or API Management.
  • Experience with Azure DevOps or GitHub, Git workflows, pull requests, code reviews, and branching standards.

Nice to have

  • Financial services knowledge, including banking, lending, deposits, payments, risk management, and related regulations.
  • Experience building AI-ready data products or supporting AI agent architectures.
  • Experience with GitHub Copilot, Azure OpenAI, Azure AI Search, Copilot Studio, AI Foundry, MCP integrations, or related AI technologies.
  • Knowledge of MDM, metadata, data quality, lineage, cataloging, and governance tools such as Alation, Collibra, Azure Purview, or Informatica MDM.
  • Experience with test-driven development, unit testing, integration testing, performance testing, and technical presentations.

Culture & Benefits

  • People-focused, purpose-driven work supporting members and communities.
  • 401(k) company match of up to 3% plus a 4% annual employer contribution.
  • Medical, dental, and vision coverage with family contributions.
  • Paid time off, a PTO exchange program, and hirify.global Cares volunteer time off with donation matching.
  • Tuition reimbursement and opportunities to mentor engineers and contribute to technical excellence.

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