Senior Data Engineer

Hybrid in Vienna, VA, US • Posted 7 hours ago • Updated 2 hours ago
Contract Independent
Contract W2
6 Months
No Travel Required
Hybrid
Depends on Experience
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Fitment

Dice Job Match Score™

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Job Details

Skills

  • Big Data
  • Cloud Computing
  • Collaboration
  • Communication
  • Computer Science
  • Conflict Resolution
  • Data Collection
  • Data Engineering
  • Data Integration
  • Data Management
  • Data Quality
  • Data Warehouse
  • Databricks
  • Extract, Transform, Load
  • Information Systems
  • Java
  • Leadership
  • Management
  • Microsoft Azure
  • Microsoft Exchange
  • Mortgage
  • Problem Solving
  • Programming Languages
  • Python
  • SQL
  • Scalability
  • Storage
  • Systems Design
  • Technical Support
  • Workflow

Summary

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91174524
  • Position Id: 9125974
  • Posted 7 hours ago

Company Info

About TalentOS AI LLC

Our services at Talent on Staffing are designed to support organizations of all sizes in finding professionals with the right skills, experience, and cultural fit. We partner with businesses to understand their workforce needs and deliver tailored talent solutions that drive growth.

We offer comprehensive recruitment services, IT and Non-IT staffing, permanent hiring, contract staffing, and workforce advisory support. Our HR solutions are focused on helping organizations meet critical talent demands efficiently and compliantly.

As a trusted staffing partner, we aim to be a catalyst for both clients and candidates, enabling success in today's dynamic and evolving world of work.

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Contact the job poster
KS

Krishna Singam

Recruiter @ TalentOS AI LLC

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