Job description
Company Description
Job Description
The Senior Data Engineer works on a team of Data Engineers and Administrators building and modernizing our data platform. The current platform utilizes SQL Server Enterprise on Google Cloud Platform (GCP), as well as Snowflake and Python. This role is highly involved in the evolution of the platform to modern data warehousing technologies. The ideal candidate has experience with large data sets, hands on experience with cloud data warehousing, and a strong desire to continue learning and solving problems.
Primary Job Duties:
- Responsible for end to end project ownership
- Design high performance, resilient, efficient data pipelines
- Become a subject matter expert in the data layer with deep understanding of entire pipeline
- Play a key role in data architecture and design discussions
- Design and develop high-volume, low-latency applications for mission-critical systems, delivering high-availability and performance
- Follow established processes and be a champion for best practices and continuous improvement.
- 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 and code are in compliance with specifications
- Design solutions with a dev-ops mindset
- Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review
- Perform other duties as assigned
Qualifications
- 4+ years of experience implementing commercial data warehouses and data marts
- 2+ years of experience with cloud data warehouse (BigQuery, Snowflake, Redshift )
- 1+ year of experience in Python
- Experience working with APIs
- 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
Additional Information
All your information will be kept confidential according to EEO guidelines.
Communication Methods Used:
- Slack
- Video calls
- Emails
Technical Requirements (for remote workers):
In order to successfully work remotely, supporting our patients and providers, we require a minimum of 5 MBPS for Download Speed and 3 MBPS for the Upload Speed. This should be acquired prior to the start of your employment. The best measure of your internet speed is to use online speed tests like https://www.speedtest.net/. This gives you an update as to how fast data transfer is with your internet connection and if it meets the minimum speed requirements. Work with your internet provider if you have questions about your connection. Employees who regularly work from home offices are eligible for expense reimbursement to offset this cost.
