Senior Software Engineer | Azure Data Analytics Job at Microsoft Corporation (Vancouver)

Senior Software Engineer, Data Platforms and Services - Minecraft

At Mojang Studios, the creators of Minecraft, we are on a mission to build a bet...

Location

United States , 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.

Job Responsibility

Build and operate scalable data services and APIs powering personalization, analytics, and player insights across Mojang
Own end-to-end cloud infrastructure (Azure + Terraform + CI/CD) for reliable, repeatable deployments across environments
Ensure production reliability (ICM/DRI ownership, monitoring, incident response) for critical data systems and services
Drive performance, cost efficiency, and security compliance across data pipelines, services, and infrastructure
Build and maintain shared C++ telemetry libraries used across gameplay systems and services.

Fulltime

Senior Data Software Engineer (Python & PySpark) - Vice President

The Senior Data Software Engineer is a senior level position responsible for est...

Location

Singapore , Singapore

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field
7+ years of experience in data engineering, with a strong focus on Python and big data technologies
Proven expertise in designing and implementing large-scale data processing solutions using PySpark
Extensive experience with distributed computing frameworks like Apache Spark
Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT principles
Proficiency in SQL and experience with various relational and NoSQL databases
Experience with cloud platforms (AWS, Azure, GCP) and their data services (e.g., S3, ADLS, Google Cloud Storage, Redshift, Snowflake, BigQuery, Databricks)
Familiarity with workflow orchestration tools (e.g., Apache Airflow, Azure Data Factory, AWS Step Functions)
Experience with version control systems (e.g., Git)
Excellent problem-solving, analytical, and communication skills.

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Fulltime

Senior Software Engineer - Data Science

Microsoft’s Azure Data engineering team is leading the transformation of analyti...

Location

Spain , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, or related technical discipline AND proven experience in industry software engineering experience
Substantial experience in programming experience as data scientist
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Design and develop world-class experience for new big data cloud offering
Plan, schedule and deliver quality software incrementally
Review changes to product codebase and provide constructive feedback that align with industry best practices
Maintain and operate cloud online services
Passion and experience for building great developer experience and user experience of modern analytics systems
Have a deep desire to work collaboratively, solve problems with teams across the world and celebrate successes
Embody our culture and values

Fulltime

Senior Software Engineer, Data Platform

We are seeking a senior software engineer to help grow our data platform as Stra...

Location

United States , San Francisco

Salary:

180000.00 - 200000.00 USD / Year

Strava

Expiration Date

Until further notice

Requirements

3+ years of experience developing data-intensive software using languages like Python, Scala, Java, Go, or Ruby
Ability to evaluate and adopt new technologies as business needs evolve
Comfortable reading and reasoning about SQL queries in data pipeline contexts (e.g., dbt models)
Understanding how transformations impact downstream systems
Hands-on experience working with distributed data processing tools (e.g., Spark, Flink, Kafka) on production datasets
Understanding of tradeoffs and appropriate use cases for data processing tools
Experience building or maintaining data pipelines using cloud data warehouses (e.g., Snowflake, BigQuery, Redshift), Data lakes (e.g., Iceberg, Hudi) or similar solutions
Understanding of performance optimization and cost considerations
Understand the underlying infrastructure needed to serve production data platforms (e.g., Kubernetes, AWS, GCP, Azure)
Experience deploying and managing data infrastructure components like clusters, storage systems, and compute resources

Job Responsibility

Collaborate with people across teams and functions that hold deep curiosity for data
Work with hefty data systems at the global scale of Strava, supporting functions including analytics, AI/ML, engineering, and finance
Help strengthen our infrastructure as we grow
Deliver value more through software, leaning into tooling and automation rather than repetitive toil
Grow your expertise in the steadily evolving technologies and ecosystem of data
Building scalable software solutions to existing data problems utilizing modern data technologies
Writing high quality and reliable code that supports our end user experience
Understanding that data security and privacy is of utmost importance
Holding empathy for the users of our platform to truly understand the challenges we address for them
Fostering an inclusive and motivating team culture to help everyone achieve their best

Fulltime

Senior Azure Data Engineer

Parexel is looking for changemakers who are driven by curiosity, passion, and op...

Location

Canada , Remote

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

Minimum of 7 years of experience in software development
Minimum of 2 years of experience in cloud computing
Proficiency with Cloud Platform, Azure, DataBricks, Azure Data Factory, Azure Dev Ops, and SQL
Python and Power BI are preferred
Bachelor of Science in Computer Science, Engineering, or related technical field is required
Solid knowledge of SDLC and medallion architecture
Excellent problem-solving and analytical skills
Impeccable communication skills

Job Responsibility

Using Microsoft Azure data PaaS services, design, build, modify, and support data pipelines leveraging DataBricks and PowerBI in a medallion architecture setting
Create prototypes to validate proposed ideas and solicit input from stakeholders
Collaborate with Team Leads to define/clarify business requirements, estimate development costs, and finalize work plans
Run unit and integration tests on all created code – Create and run unit and integration tests throughout the development lifecycle

What we offer

Health, Vision & Dental Insurance
Tuition Reimbursement
Vacation/Holiday/Sick Time
Flexible Spending & Health Savings Accounts
Work/Life Balance
401(k) with Company match
Pet Insurance
Opportunity to work on innovative projects at the forefront of the industry
Collaborative and inclusive work environment that values your expertise
Professional advancement and development opportunities

Fulltime

Senior Software Engineer | Data Integration Platform

Microsoft’s Azure Data engineering team is leading the transformation of analyti...

Location

Canada , Vancouver

Salary:

114400.00 - 203900.00 CAD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
3+ years of professional experience delivering customer facing, globally available, online services with 24/7 support and meeting defined SLAs
The ability to meet Microsoft, customer, and/or government security screening requirements is required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Leads by example within the team to produce extensible, maintainable, well-tested, secure, and performant code that adheres to design specifications
Applies metrics to drive code quality and stability
Leads discussions for, owns the architecture of a products/solutions, and creates proposals for architecture by testing design hypotheses and develop complex design specifications
Owns or collaborates with other engineers on the architecture of solutions, with minimal technical oversight
Upholds Microsoft standards of security, privacy, and other compliance requirements and expectations
Drives the refinement of products through data analytics and makes informed decisions in engineering products through data integration
Applies best practices to build code based on well-established methods and secure design principles
Leveraging internal experimentation infrastructures, drives experiments that determine the impact of changes
Acts as a designated responsible individual (DRI) and guides other engineers by developing and following the playbook, working on-call to monitor a system/product/service for degradation, downtime, or interruptions

Fulltime

Senior Azure Data Engineer

We are seeking an experienced Azure Data Engineer with Databricks expertise to j...

Location

Poland , Warszawa

Salary:

150.00 - 180.00 PLN / Hour

Cyclad Sp. z o.o.

Expiration Date

Until further notice

Requirements

Minimum 3+years' hands-on experience with Azure Data Factory and Databricks (modern features, including Unity Catalog and 2025 capabilities)
At least 5+ years' experience in data engineering or backend/full-stack software development
Solid software engineering background: writing unit tests in Python, proficient with Git, and CI/CD pipelines
Strong SQL skills and experience structuring and modelling data in both relational and non-relational formats
Experience with data transformation tools, Spark, and real-time analytics solutions on Azure
Strong verbal and written communication skills in English

Job Responsibility

Design, build, and deploy scalable data pipelines using Azure Databricks and the Azure Analytics stack
Curate structured, semi-structured, and unstructured data by creating efficient, cost-effective, and scalable pipelines
Create and maintain robust data pipeline architecture ensuring data quality, reliability, and scalability
Assemble and manage large, complex datasets to meet functional and non-functional business requirements
Identify, design, and implement process improvements, including automation and optimization of data delivery
Work with real-time and streaming analytics solutions where applicable
Collaborate closely with Product Owners, Scrum Masters, architects, and data leadership to ensure timely, high-quality delivery
Align with Data Engineering chapter standards, processes, and best practices
Apply solid software engineering practices, including unit testing, CI/CD, and version control
Troubleshoot complex data-related issues and perform root cause analysis

What we offer

Private medical care with dental care (covering 70% of costs) + rehabilitation package.
family package option possible
Multisport card (also for an accompanying person)
Life insurance
Flexibility and international environment

Fulltime

Senior Software Engineer-Azure Hardware Health Service

Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the...

Location

Taiwan , Taipei

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
The ability to meet Microsoft, customer, and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Job Responsibility

Develop and operate large scale, low latency, and high throughput cloud services
Drive and Lead highly complex and mission critical solutions that involve multiple Azure Services across global regions
Define and measure the success/impact of requested analytics & reporting features via quantitative measures
Contributes to data analysis and feedback integration for product engineering decisions, acting as a Designated Responsible Individual (DRI) for monitoring and restoring system functionality within the Service Level Agreement (SLA) timeframe. Participates in live service operations, and supports telemetry data integration for system behavior insights, with a focus on performance, reliability, and safety
Collaborates with diagnostics and hardware-facing teams to consume diagnostic signals and health insights that improve failure detection and serviceability workflows
Supports the identification of dependencies and design documentation for product features, learns about system interactions and back-end dependencies, and contributes to architectural processes under guidance
Produces code to test hypotheses for technical solutions and assists with technical validation efforts. Collaborates on quality assurance plans, augments test cases, and integrates automation into testing, while understanding the implications of security and compliance in system architecture
Ensures compliance with security, privacy, safety, and accessibility standards, leverages developer tools for code creation and debugging, contributes to automation in production and deployment, and proactively seeks knowledge to improve product availability, reliability, efficiency, and performance at scale
Understands and applies Microsoft’s responsible AI practices to ensure systems meet our commitments to our customers
Collaborate effectively with remote teams in global locations to ensure architectural alignment and feature delivery

Fulltime

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Senior Software Engineer | Azure Data Analytics

Job Description

Job Responsibility

Requirements

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