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Senior Backend Engineer - Data Platforms Madrid, Spain

Revvity - San Diego, California

Posted Jun 4, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source
Seniority
Senior From the posting source

Schedule

Shift type
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Weekend work
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Company

Equity
Offered Verified - SEC 10-K source

Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Senior Backend Engineer - Data Platforms Madrid, Spain San Diego, California Revvity Signals platforms aim to revolutionize scientific research by providing advanced cloud SaaS data management and data analytics tools to researchers and professionals in the life sciences industry. If you are looking to join an international team of talented engineers, designers, and product managers, and contribute to delivering amazing, high-impact, customer-focused features, this is a great opportunity. About the Role We're looking for a Senior Backend Engineer to join our growing data platform team. In this role, you'll architect and build scalable, high-performance backend systems that power advanced analytics and data-driven decision-making across the organization. What You'll Do Design and implement cloud-native backend services for large-scale data processing and analytics Collaborate with data scientists, analysts, and product teams to turn complex business needs into elegant technical solutions Build and optimize **data models** and pipelines for performance, scalability, and reliability Drive **cost-efficient** and **secure** use of cloud infrastructure (primarily AWS) What We're Looking For (Must have) 5+ years of experience as a backend engineer, ideally in data-intensive environments Strong proficiency in Python (preferred), with additional experience in Java or Scala a plus Deep experience with AWS (preferred), Azure, or GCP, and its data ecosystem (e.g., ECS, Fargate, S3, Redshift, Lambda) Familiarity with containerization and orchestration tools (Docker, Kubernetes) Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, etc.) Strong problem-solving skills and a collaborative mindset. Excellent problem-solving skills and ability to mentor others Nice to Have Master's degree in

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Apply link not verified; last alive Jul 14, 2026.

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