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Senior Software Development Engineer (Scala, Data Warehouse, Spark) - Remote

Work from home Full-time role Hiring

Job TitleSenior Software Development Engineer (Scala, Data Warehouse, Spark) - Remote Location(s)US Remote - MA

About Us

Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health. Find your future at Revvity We are looking for a talented Senior Software Development Engineer (Scala, Data Warehouse, Spark) to join our Signals Software Team, building a product we call the Signals Data Factory. The Signals Data Factory is a product which specializes in taking in many different forms of scientific data, transforming it to a structured format for analytics, and making it searchable (using Elasticsearch) and analyzable via a variety of interfaces. Its current use spans from early in the drug-discovery process to analyzing active clinical trial data. If you are looking to join a team of talented software engineers and to delivering amazing, high impact features our customers use to improve lives everywhere, this is a great opportunity.

  • The working hours for this position will be EST

You Will:

  • Create highly performant and scalable services primarily in Scala FP
  • Work on a medium to large data warehouse for scientific data, that’s also AI/ML ready
  • Work on a medium to large data transformation engine capable of processing petabytes of data to the warehouse
  • Work with AWS services and cloud technologies
  • Collaborate with fellow team members on priorities, technical specifications, design reviews, code reviews, implementation, testing and troubleshooting

Basic Qualifications:

  • 5+ years of Software Development experience
  • 2+ years Experience with Scala versions 2 or 3, and related libraries such as Zio
  • 2+ years Experience developing Data Warehouses using databases such as Delta Lake and Postgres

Preferred Qualifications:

  • Bachelors Degree is preferred
  • Skilled with database performance in RDS Postgres, Deltalake or other relational databases
  • Skilled with Elasticsearch queries and performance
  • Experience with data transformation in Spark Scala or Dask python
  • Experience with cloud application performance at one of the top 3 providers
  • Architecting and performance analysis skills
  • Strongly driven – ability to clarify product requirements into technical specifications, and deliver solid code in a highly distributed and fast-moving environment
  • Excellent communication skills
  • Strong problem-solving skills
  • Ability to mentor other engineers and testers

#LI-CL What do we offer? We provide competitive and comprehensive benefits to our employees. Below are some highlights of our benefits:

  • Medical, Dental, and Vision Insurance Options
  • Life and Disability Insurance
  • Paid Time-Off
  • Parental Benefits
  • Compassionate Care Leave
  • 401k with Company Match
  • Employee Stock Purchase Plan

Learn more about Revvity’s benefits by visiting our Bswift page. Log-In instructions are provided towards the bottom of the Bswift page.

  • For benefit-eligible roles only. Part-time and temporary roles may not be eligible for all benefits listed. Please reach out to your recruiter for more information.

Revvity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic or status protected by applicable federal, state, and/or local laws. If you are an applicant with a disability that requires reasonable accommodation to complete any part of the application process or are limited in the ability—or unable to use—the online application system and need an alternative method for applying, you may contact [email protected]. Apply tot his job Apply To this Job

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