Software Engineer, Data Migration
Quick summary
- Work type
- On-site
- Location
- WAORCA
- Salary
- $106,000–$209,000 / yr
- Posted
- 13 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays less than 52% of similar roles. Most pay $126,800–$197,287 — the shaded band above. At the midpoint, this role pays about $158k versus about $162k for comparable roles.
Based on 240 similar postings.
Employer
About MongoDB
MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.
MongoDB currently has 287 open roles on FindRole.
Listed pay typically runs $126,500–$209,000 across 104 roles with salary data.
Most-posted roles
- Enterprise Account Executive, Growth 12
- Solutions Architect 9
- Enterprise Account Executive 8
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At a glance
TL;DR · Software Engineer, Data Migration
Join MongoDB's Code Generation and Data Migration team as a Software Engineer in North America, where you will design and build high-performance data systems that enable real-time migration from legacy relational databases to MongoDB. Your day-to-day involves crafting sophisticated orchestration layers and robust integration points using Java, Spring Boot, Kafka, Debezium, and React, ensuring the scalability and reliability of our services. You'll collaborate closely with AI researchers and product management to develop cutting-edge products that solve complex customer challenges by modernizing their data ecosystems. Ideal candidates have 2+ years of experience in backend systems or distributed platforms, a strong background in computer science fundamentals, and hands-on experience with Java, streaming data platforms like Kafka, and relational databases such as Postgres or MySQL.
Skills
What you'll do
- Design and optimize data structures and algorithms for the generative AI platform.
- Build high-performance backend services that integrate advanced AI capabilities.
- Develop robust integration points using Java, Spring Boot, Kafka, and Debezium.
- Identify and resolve performance bottlenecks in distributed systems and data flow.
- Participate actively in code reviews to ensure adherence to best practices.
- Collaborate with product management and researchers on the product roadmap.
What we're looking for
- 2+ years of experience in backend systems, distributed systems, or core platform development.
- Strong background in Java ecosystem, including Spring Boot and Kafka.
- Experience with streaming data platforms like Apache Kafka and CDC tools such as Debezium.
- Hands-on experience with relational data modeling and SQL databases (Postgres, MySQL).
- Understanding of algorithms, data structures, memory management, and performance tuning.
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