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5 дней назад

Senior Data Engineer (Databricks)

155 000$
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 (Databricks): Building enterprise-grade ETL/ELT pipelines, data models, warehouses, and lakehouse environments with an accent on Python, SQL, Azure, and Databricks. Focus on transforming large-scale data, implementing governance and quality controls, and optimizing secure, scalable data infrastructure.

Location: Hybrid work in Atlanta, Georgia, or Washington, DC; on-site support is required. Preference is given to candidates located in Atlanta or with prior CDC experience. U.S. citizenship or a Green Card is required, and the ability to obtain Public Trust is mandatory.

Salary: $155,000 per year

Company

hirify.global delivers outsourced services and workforce solutions across North America.

What you will do

  • Design, implement, and maintain enterprise-grade ETL/ELT pipelines using Python and SQL.
  • Build and optimize data models, warehouses, and Databricks lakehouse environments.
  • Ingest, clean, validate, and transform large-scale data from APIs, flat files, relational sources, and unstructured systems.
  • Implement data quality, metadata management, governance, security, and compliance controls.
  • Deploy, monitor, troubleshoot, and improve Azure data solutions using logging, alerting, and CI/CD practices.
  • Document data architecture, pipeline logic, and operational procedures while collaborating with data scientists, operational leaders, and infrastructure architects.

Requirements

  • 8+ years of experience in data engineering, software engineering, or database architecture.
  • 6+ years of experience with Python and SQL, including scalable ETL/ELT pipelines.
  • Experience with Azure data ecosystems such as Azure Data Factory and modern processing frameworks such as Databricks.
  • Knowledge of relational and NoSQL databases, data modeling, schema design, governance, security, and compliance.
  • Bachelor’s degree in computer science, engineering, information systems, or a related quantitative field.
  • Must be able to work on-site in Atlanta or Washington, DC, be a U.S. Citizen or Green Card holder, and obtain Public Trust.

Nice to have

  • Experience supporting data engineering initiatives in government-related environments.
  • Experience collaborating with data scientists and analysts on evolving data models.
  • Knowledge of IT infrastructure practices, data access methodologies, advanced security practices, governance policies, and compliance frameworks.
  • Azure Data Engineer Associate certification.

Culture & Benefits

  • Direct-hire W-2 employment.
  • Medical, dental, and vision coverage options.
  • Spending accounts, life insurance, and voluntary benefit plans.
  • Participation in a 401(k) plan.

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