Lead Data Engineer

7 days ago


Reston, Virginia, United States PRI Technology Full time

Role: Lead Data Engineer (FULL-TIME/PERMANENT)

About PRI Technology:

We are a leading technology company that specializes in data engineering and analytics. Our team is passionate about building innovative solutions that drive business growth and success.

Job Summary:

We are seeking an experienced Lead Data Engineer to join our team. As a Lead Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and ETL processes critical to support business operations and analytics.

Responsibilities:

  1. Take ownership of the entire data engineering lifecycle, including design, implementation, performance tuning, and monitoring
  2. Manage and work with our database managed service provider to manage and monitor our evolving database requirements
  3. Design, develop, and maintain scalable data pipelines and ETL processes critical to support business operations and analytics
  4. Optimize and tune data systems for high performance and reliability
  5. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions
  6. Implement and manage data storage solutions in cloud environments (AWS, Azure, Google Cloud)
  7. Ensure data quality and integrity through rigorous testing and validation
  8. Continuously evaluate and integrate new technologies and tools to improve data processing capabilities
  9. Manage distributed scheduled tasks on individual servers to a centralized ruleset
  10. Work with our development team and database MSP to modernize the backup and recovery strategy for 3-4 SQL servers across different cloud environments
  11. Support the addition of new tenants on our production data platform

Qualifications:

  1. Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field from a top-tier university
  2. 4-5 years of relevant professional experience in data engineering
  3. Strong programming skills in SQL and Python
  4. Proficiency in database administration
  5. Proven experience migrating on-prem data and associated processes to cloud platforms (AWS, Azure, Google Cloud)
  6. Demonstrated ability to design and implement efficient and reliable data pipelines and ETL processes
  7. Strong problem-solving skills and ability to troubleshoot complex data issues
  8. Excellent communication skills and ability to work collaboratively in a team environment
  9. A proactive mindset with a willingness to take ownership and drive projects to completion. Strong organizational skills along with a desire to continually be challenged
  10. Experience with monitoring, CI/CD, Load Balancing, and Testing tools (e.g. Redgate, Datadog)

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