Jobs · Engineering · Texas

Software Engineer - Customer Delivery

Verily Health · Dallas, TX · 6 days ago
EngineeringFull-time

About the role

Verily Health is a data platform and technology company dedicated to advancing precision health through AI-enabled solutions. The Verily Me team builds technology for patients/participants that enhance engagement and provide personalized experiences.

Responsibilities

  • Work closely with the development team to design, develop, and deliver new software features across the Verily tech stack.
  • Come up with ideas to technical design problems, compare options, and propose solutions.
  • Develop using industry-standard tools including GitHub, Google Cloud, Go, Docker, and Terraform.

Qualifications

  • Minimum Qualifications: BA/BS degree in Computer Science, Electrical Engineering, or equivalent practical experience in software development. 3 years experience as a software developer in an industry setting. Ability to work independently and collaborate effectively. Expertise in building software and systems on any of: GCP, AWS or Azure (GCP preferred).
  • Preferred Qualifications: Demonstrated experience with Go, Java, Python, and/or SQL. Proficiency in Apache Beam and its associated technologies for data ingestion and processing. Solid understanding of ETL principles and best practices. Experience with designing and implementing scalable data processing pipelines with Bioquery or other analytics-oriented databases. Education or exposure to healthcare or life sciences, with emphasis on HL7 FHIR.

Compensation

The US base salary range for this full-time position is $112,000 - $126,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

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