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Senior Data Engineer (Azure Databricks)

117 600 - 161 700$
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

Текст:
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TL;DR
Senior Data Engineer (Azure Databricks/Big Data): Building and optimizing scalable data pipelines and data-driven solutions for collecting, storing, processing, and analyzing large volumes of structured and unstructured data with an accent on Azure Databricks, SAS, SSIS, SQL, Python, Spark, and Azure services. Focus on integrating internal and external source systems, improving pipeline performance and reliability, and solving complex data processing problems through root cause analysis.

Location: Remote nationwide in the United States; occasional travel to hirify.global offices for training or meetings may be required. A dedicated, interruption-free workspace is required to protect member PHI and HIPAA information.

Salary: $117,600–$161,700 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a U.S. healthcare company providing insurance and healthcare services to people with Medicare and Medicaid, families, individuals, military personnel, and communities.

What you will do

  • Design, develop, maintain, and optimize scalable data pipelines and workflows using Azure Databricks.
  • Develop and maintain SAS programs and SSIS packages for intermediate and downstream data processing.
  • Write, optimize, and maintain complex SQL queries for data transformation and analytical use cases.
  • Design and build ETL/ELT pipelines integrating multiple internal and external source systems.
  • Select, implement, monitor, and support Big Data tools and frameworks, including troubleshooting and root cause analysis.
  • Partner with product management, SRE, software engineering, analytics, and cross-functional stakeholders to define requirements and align data architecture and outcomes.

Requirements

  • Bachelor’s degree in a science, engineering, or computing-related discipline, or equivalent practical experience.
  • 8+ years of experience designing and building production-grade batch data pipelines for data ingestion and transformation, plus 8+ years of overall experience in data engineering or related roles.
  • Strong proficiency in SQL, Databricks, Python, Apache Spark, Git, and Azure services including Synapse and Azure ADLS Gen 2.
  • Strong understanding of relational database principles, data modeling, database management, and data warehousing.
  • Strong knowledge of Big Data querying tools.
  • Experience optimizing large-scale data pipelines and ETL workflows.
  • Excellent communication and interpersonal skills.

Nice to have

  • Experience with cloud migrations and legacy modernization.
  • Experience working with Snowflake.
  • Healthcare experience and experience designing systems that protect member PHI and PII.

Culture & Benefits

  • Person-first culture focused on continuous improvement, creativity, resourcefulness, resilience, and positive impact.
  • Fast-paced, collaborative environment with support for multitasking and data-informed decision-making.
  • Work-life balance, generous PTO, paid holidays, and paid parental and caregiver leave.
  • Medical, dental, vision, life insurance, disability, and other healthcare benefits effective from day one.
  • 401(k) retirement plan with company match, annual incentive plan, well-being program, and paid volunteer time off.
  • Home employees should have internet speeds of at least 25 Mbps download and 10 Mbps upload; eligible employees in California, Illinois, Montana, and South Dakota receive a bi-weekly internet expense payment.

Hiring process

  • Interviews use HireVue technology to evaluate relevant skills and experience.
  • Applicants may be asked to provide their Social Security Number through hirify.global’s secure application process.

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