Member of Technical Staff, Infrastructure Data & Analytics Job at Microsoft Corporation (Multiple Locations)

Member of Technical Staff - Data Infra - MAI Superintelligence Team

Help build the world’s most advanced multimodal dataset at Microsoft AI. We are ...

Location

United States , Mountain View

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR equivalent experience
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 12+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 15+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR equivalent experience
4+ years experience with data governance, data compliance and/or data security
Passionate about the role of data in large-scale AI model training
Thrive in a highly collaborative, fast-paced environment
Have a high degree of expertise and pay close attention to details

Job Responsibility

Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video)
Own and maintain critical data infrastructures, including spark, ray, vector databases, and others
Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models
Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation
Embody our culture and values

Fulltime

Member of Technical Staff, Data Infrastructure

We're looking for a Data Engineer to build and scale the data infrastructure tha...

Location

Salary:

240000.00 - 290000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of industry experience in data engineering
Strong knowledge of Python
Experience with data quality, deduplication, and cleaning at scale
Comfortable working with cloud storage (S3) and managing large datasets
Experience building and maintaining ETL/CDC pipelines at scale
Strong SQL skills and experience with multiple database systems (Postgres, columnar databases like ClickHouse/Redshift)
Humility and open mindedness

Job Responsibility

Build and own pipelines for the creation, curation, and processing of large-scale multimodal datasets, including vector database (LanceDB) management and query optimization for ML metadata
Build and own ETL and CDC streams from Postgres and ClickHouse to analytics warehouses
Build standardized data transformation layers using dbt to replace ad-hoc SQL queries and create maintainable data models for business analytics
Manage production databases (Postgres, ClickHouse) and optimize for performance and reliability

Member of Technical Staff - Data Engineer

As Microsoft continues to push the boundaries of AI, we are on the lookout for i...

Location

United States , New York

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work
OR equivalent experience
4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL
Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc
3+ years experience with data governance, data compliance and/or data security
2+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc
2+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking
Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience
Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security

Job Responsibility

Build scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases
Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform products and services
Ship high-quality, well-tested, secure, and maintainable code
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
Enjoy working in a fast-paced, design-driven, product development cycle
Embody our Culture and Values

Fulltime

Data Quality Lead Analyst

The Data Quality Lead Analyst is a strategic professional who stays abreast of d...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

5-8 years software experience preferred
High proficiency in MS Excel, Python, SQL for Data analysis
Ability to create BI tools such as Qlikview and/or Tableau views for analysis
Problem Solving - Evaluates moderately complex and variable issues with substantial potential impact
Good analytical skills to filter, prioritize and validate potentially complex and dynamic material from multiple sources
Outstanding written and oral communication, influencing and presentation skills
A self-starter with ability to independently manage work and drive multiple deliverables concurrently
Strong subject matter expertise regarding technology application control disciplines and technology infrastructure knowledge
Demonstrated capability and maturity to work in an individual capacity
Demonstrates experience in managing teams and managing integrated internal audit and assurance delivery

Job Responsibility

Devises methods for identifying data patterns and trends in available data sources
Defines strategies to drive data quality measurement, produce data quality dashboards and reports, and implement data quality strategies to effectively govern data and improve data quality
Works with data quality partners and Technology teams to identify and implement data quality tools
Identify critical data elements, data quality rules, thresholds, and other business requirements
Mentors junior analysts
Applies in-depth understanding and knowledge of how business integrates within the sub function
Contributes to the development of new techniques and processes and for the aligned business
Integrates subject matter and industry expertise within a defined area
Responsible for own work to support business teams in assigned area
Build data quality assessments and measurement of critical data utilized by Citi strategic systems and processes

Fulltime

New

Member of Technical Staff - Data Platform

If you are excited by the challenge of designing distributed systems that proces...

Location

United States , Mountain View; Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience
Proficiency in Python, Scala, Java, or Go
Deep Distributed Systems Knowledge: Demonstrated technical understanding of massive-scale compute engines (e.g., Apache Spark, Flink, Ray, Trino, or Snowflake)
Experience architecting Lakehouse environments at scale (using Delta Lake, Iceberg, or Hudi)
Experience building internal developer platforms or "Data-as-a-Service" APIs
Strong background in streaming technologies (Kafka, Azure EventHubs, Pulsar) and stateful stream processing
Experience with container orchestration (Kubernetes) for deploying data applications
Experience enabling AI/ML workloads (Feature Stores, Vector Databases)

Job Responsibility

Core Platform Engineering: Design and build the underlying frameworks (based on Spark/Databricks) that allow internal teams to process massive datasets efficiently
Distributed Systems Architecture: Modernize our data stack by moving from batch-heavy patterns to event-driven architectures
Unstructured AI Data Pipelines: Architect high-throughput pipelines capable of processing complex, non-tabular data (documents, code repositories, chat logs) for LLM pre-training, fine-tuning and evaluations datasets
AI Feedback Loops: Engineer the high-throughput telemetry systems that capture user interactions with Copilot
Infrastructure as Code: Treat the data platform as software. Define and deploy all storage, compute, and networking resources using IaC (Bicep/Terraform)
Data Reliability Engineering: Move beyond simple "validation checks" to build automated governance and observability systems
Compute Optimization: Deep-dive into query execution plans and cluster performance. Optimize shuffle operations, partition strategies, and resource allocation

Fulltime

Lead Data Engineer – MarTech

We are seeking a hands-on and visionary Data Engineering Lead to drive the desig...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering
At least 2 years in a technical team lead or staff engineer capacity
Demonstrated experience owning data architecture end-to-end — from ingestion to modeling and serving
Experience in MarTech/Growth/CRM domains or adtech ecosystems is a major plus
Strong collaboration skills
comfortable working across multiple teams and stakeholders including Engineering Manager, Product Owner, and Data leadership
Passion for building impactful systems that fuel marketing performance and customer engagement
Core Technologies: Databricks (Spark, ML, Delta Lake)
Apache Airflow (ETL orchestration)
AWS Data Stack – S3, Redshift, Glue, Lambda, Step Functions, Athena

Job Responsibility

Provide technical leadership in designing, building, and maintaining robust and scalable data pipelines
Own architectural decisions for the data infrastructure that powers our CDP and marketing data stack, ensuring scalability, quality, and performance
Partner with the MarTech Engineering Manager and Product Owner to shape the technical roadmap, contribute to backlog refinement, and ensure timely delivery of products
Translate business goals (e.g., audience targeting, personalization, attribution) into scalable data solutions and architecture
Mentor and up-skill team members through code reviews, architecture sessions, and knowledge sharing
Define and enforce technical standards and best practices around data modeling, orchestration, CI/CD, observability, and performance
Partner with ML, Gen AI, and Data teams to integrate real-time personalization, behavioral targeting, and predictive analytics

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
A collaborative environment with an opportunity to explore your potential and grow
A range of locally relevant benefits

Fulltime

Member of Technical Staff, AI Multimodal

At Microsoft AI, we are on a mission to train the world’s most capable AI fronti...

Location

United Kingdom , London

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work
OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work
OR equivalent experience
Expertise in multimodal Research with a strong publishing track record
Proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects
Strong analytical skills, attention to detail, and a commitment to data-driven decision-making
Experience and/or in-depth understandings about large-scale distributed systems
Ability to work collaboratively in a fast-paced, innovative environment

Job Responsibility

Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not
Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis
Innovate and iterate over ideas, prototypes, and product
Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback
Advance the AI frontier responsibly
Embody our culture and values

Fulltime

Member of Technical Staff, AI Multimodal - MAI Superintelligence Team

At Microsoft AI, we are on a mission to train the world’s most capable AI fronti...

Location

Switzerland , Zürich

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work
OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work
OR equivalent experience
Expertise in multimodal Research with a strong publishing track record
Proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects
Strong analytical skills, attention to detail, and a commitment to data-driven decision-making
Experience and/or in-depth understandings about large-scale distributed systems
Ability to work collaboratively in a fast-paced, innovative environment

Job Responsibility

Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not
Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis
Innovate and iterate over ideas, prototypes, and product
Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback
Advance the AI frontier responsibly
Embody our culture and values

Fulltime

Member of Technical Staff, Infrastructure Data & Analytics

Microsoft Corporation

Location:
United States , Multiple Locations ▼
Mountain View
San Francisco Bay area
New York City metropolitan area

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 13, 2026

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