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Senior Data Engineer

TalentOS AI LLCVienna, VA🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationVienna, VA, United States
SQLETLDatabricksJavaPythonAzureSystem Design

Job description

Job Title: Senior Data Engineer

Location: Hybrid@ Vienna, VA or Pensacola, FL

Experience Level: 10+ years

Second round interviews onsite

Responsibilities:

  • Design, develop and maintain data pipelines and workflows
  • Collaborate with stakeholders to ensure data solutions align with business needs and goals
  • Design and build robust data pipelines for data collection, connection, and storage
  • Develop and maintain APIs and integrations to support secure, reliable data exchange across internal and external systems
  • Support and enhance mortgage data platforms and data pipelines across the lending technology ecosystem
  • Develop and enforce data engineering policies and best practices to ensure data integrity
  • Ensure data quality and performance at scale
  • Ensure high performance and scalability of data systems
  • Help with the collection, connection, and storage of data
  • Lead efforts to optimize existing data workflows and ensure system reliability
  • Build working relationships with team members and subject matter experts
  • Lead small projects and initiatives, taking a leadership role in planning and execution
  • Mentor and guide junior data engineering team members

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
  • 5-7 years of experience in data engineering
  • Complete knowledge and understanding of business area/specialization
  • Advanced knowledge of programming languages (Python, Java, SQL)
  • Experience with data management and processing tools
  • Experience with data integration and processing tools
  • Experience with cloud services (Databricks, Azure, etc.)
  • Advanced problem-solving skills
  • Advanced communication, collaboration skills and the ability to manage multiple priorities effectively
  • Advanced skill in data system design and solid understanding of data warehousing, ETL processes, and big data technologies
  • Advanced knowledge of data engineering principles, technologies, and architecture

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