below marketmost similar roles pay hereabove market
This role pays more than
74%
of similar roles. Most pay
$149,500–$178,175
— the blue band above.
At the midpoint, this role pays about
$177k
versus about
$164k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
694 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 651 roles with salary data.
The Senior Software Engineer joins the Data and Insight team within the Search Foundation organization to build scalable data analytics platforms. This role involves designing and owning optimal data processing architectures for new pipelines, dashboards, and metrics while processing petabyte-scale logs from Bing and MSN. You will build core datasets, fault-tolerant pipelines, and data anomaly detection systems to provide real-time insights and support grounding business needs. Key responsibilities include optimizing compute and storage systems, ensuring data compliance, and collaborating with data scientists. You will utilize a hybrid technology stack including Azure, Spark, Flink, Kafka, EventHub, HDFS, and Azure Blob. Proficiency in C, C++, C#, Java, JavaScript, or Python is required, along with experience leveraging AI technology for coding, testing, and data validation.
What does a Software Engineer earn?
Median $197400 from 2576 postings across 150 companies.
Design and own optimal data processing architectures for new analytics pipelines and dashboards.
Build scalable, fault-tolerant pipelines to process petabyte-scale data using Spark or Flink.
Develop core datasets and implement data anomaly detection and quality checks.
Optimize pipelines for ideal compute and storage systems to guarantee high-quality SLA datasets.
Manage data compliance and governance standards across all data assets.
Integrate AI technologies into coding, testing, and data validation processes.
Develop end-to-end data assets in collaboration with data scientists and product managers.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 4+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python (or equivalent experience).
6+ years of experience in one or more coding languages (C#, C++, Java) (preferred).
6+ years of experience in backend service development (preferred).
2+ years of experience in batch or streaming data processing to process PiB level data (preferred).
Domain expertise in Spark or Flink to handle PiB level data every day (preferred).
Experience with data pipeline performance optimization (preferred).
Experience with data process technologies like Spark, Flink, and message queues like Kafka or EventHub (preferred).
Experience with data storage technologies like HDFS or Azure blob (preferred).
LLM
Semantic Search
Vector Indexes
C#
C++
Java
Python
JavaScript
Rust
ASP.NET
Distributed Systems
Information Retrieval
DiskANN
Functional Programming
M365
C
Middleware
Java
Python
Go
C++
C#
Kubernetes
Docker
RESTful APIs
CI/CD
Linux
Oracle Cloud Infrastructure
Distributed Systems
GitHub Copilot
Codex
Claude Code
Infrastructure Automation
Service Observability