Data Engineer at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Mar, 26

Salary

234700.0

Posted On

25 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Azure Data Factory, Databricks, Spark, ETL, ELT, CI/CD, Machine Learning, Python, SQL, Data Governance, Data Security, Data Compliance, Data Lake, Synapse, Power BI

Industry

Software Development

Description

Overview With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world. The Customer Experience Architecture (CXA) organization leads the design of our AI-enabled integrated Customer Success and Support motions across CE&S and drives the implementation requirements across end-to-end customer experience architectures, improving the quality and experience KPIs across CE&S. The CE&S Business Intelligence (BI) Team is responsible for delivering data-driven decision-making and self-serve analytics to optimize customer experience and support operations across Microsoft's assisted and self-service support surfaces. We build and manage data platforms and data flows, oversee data and measurement governance, develop Machine Learning (ML) models, manage support-critical data tools, and provide both core and business-specific analytics resources and guidance. We are seeking a goal-driven Data Analyst with extensive experience in delivering data-driven decision making & self-serve analytics to optimize customer experience and support operations across Microsoft’s assisted and self-service support surfaces. In this role, you will lead and collaborate closely with high-impact data analysts and strategic customers to solve complex problems. You will communicate trends and innovative solutions to stakeholders and work cross-functionally with engineering teams, product teams, and program management to deploy business solutions. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and implement scalable, secure, and high-performance data pipelines using Azure Data Factory, Databricks, and Spark. Develop optimized ETL/ELT workflows for large-scale data ingestion and transformation. Implement CI/CD for data solutions, automated testing, and monitoring for data quality and reliability. Collaborate with data scientists and product teams to deliver integrated analytics and ML solutions. Ensure compliance with data governance, security, and privacy standards across all data assets. Embody our culture and values Qualifications Required/minimum qualifications 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. Additional or preferred qualifications 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. 2+ years experience with data governance, data compliance and/or data security. 5+ years of experience in enterprise-scale data engineering and architecture in production environment used at enterprise scale. 5+ years of demonstrated experience working in a data intensive environment and translating business needs into data requirements (experience with Microsoft Azure stack, SQL, Python, Synapse, Power BI, Fabric, Machine Learning and AI) Strong proficiency in Python and SQL; experience with Spark/PySpark. Hands-on experience with Azure Data Lake, Synapse, Databricks, Fabric, Data Factory, Cosmos DB Familiarity with CI/CD, containerization (Docker/Kubernetes), orchestration tools. Knowledge of data governance, security, and performance optimization for large datasets Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Attention to detail and commitment to delivering high quality Initiative and passion for finding solutions to hard problems at scale and operationalizing them Demonstrated ability to work in ambiguous situations and across organizational boundaries. 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. Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

Design and implement scalable data pipelines and develop optimized ETL/ELT workflows. Collaborate with data scientists and product teams to deliver integrated analytics and machine learning solutions.