Senior Data Engineer

Privia Health

September 9, 2020

The Senior Data Engineer works on a team of Data Engineers and Administrators supporting a data platform centered around what is today a SQL Server Enterprise data warehouse. This platform holds clinical, financial, and population health data for our 6M+ patients, and serves business critical needs for our product and analytics teams. Our warehouse is an integral part of Privia’s results oriented culture, having leveraged our platform to achieve industry-best revenue cycle awards and earned ongoing benefits from 1- and 2-sided risk performance.

Primary Job Duties:

  • Lead projects end-to-end as an individual contributor
  • Design and develop high-volume, low-latency applications for mission-critical systems, delivering high-availability and performance
  • Is an activist for best practices and champions them on the team
  • Mentor junior developers and delegate work where appropriate
  • Contribute in all phases of the development lifecycle
  • Deliver timely, well written, well designed, testable, efficient code
  • Ensure designs are in compliance with specifications
  • Designs with a dev-ops mindset
  • Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review
  • Perform other duties as assigned

Minimum Qualifications:

  • 4+ years of experience implementing commercial data warehouses and data marts
  • 1+ years’ experience in Python
  • Experience working with APIs
  • Experience with cloud technologies (AWS, GC, Kafka, Spark, Kensis )
  • Hands-on proficiency with SQL, SSIS, and ETL jobs, including stored procedures
  • A track record of shipping quality software
  • A strong desire to learn new technologies
  • A strong belief in automated testing
  • Experience with Agile SDLC
  • Must comply with HIPAA rules and regulations
  • Must be willing and able to communicate with the team via webcam, webconf, and phone.
  • Must have access to private, quiet work space with high-speed internet to effectively work remotely

Interpersonal Skills & Attributes:

  • Ability to work collaboratively in a multi-location, cross-functional team with a wide range of experience levels
  • Excellent communication skills (verbal and written) necessary to effectively interact with data engineering staff, product owners, and stakeholders
  • Able to manage competing priorities
  • Excellent analytical and problem solving skills
  • Strong attention to detail and problem-solving skills
  • Adaptable and flexible

Communication Methods Used:

  • Slack
  • Video calls
  • Emails

Physical Demands:

The physical and mental demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee must be able to sit or stand at a computer workstation for long periods of time, perform computer tasks including keyboarding, possess near visual acuity for operating a computer, and communicate verbally with others in person, via video-conference, and via phone. The employee must be able to understand and follow detailed instructions, perform complex or varied tasks, make decisions, maintain a fast pace of work, and work under pressure.

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