Microsoft Logo

Microsoft

Data Engineer

Posted Yesterday
Remote
Hiring Remotely in United States
102K-219K Annually
Junior
Remote
Hiring Remotely in United States
102K-219K Annually
Junior
Designs, develops, and maintains secure, scalable data pipelines, curated datasets, and data products supporting analytics and AI. Uses PySpark, SQL, Microsoft Fabric, Azure Synapse, dimensional modeling, and lakehouse architectures. Ensures data quality, governance, security, monitoring, performance, and production reliability while applying software engineering and DevOps practices. Partners with analysts, engineers, data scientists, and business stakeholders to translate requirements into trusted data solutions and improve platform efficiency.
The summary above was generated by AI
Overview

MCAPS-Core accelerates customer outcomes and business growth. By uniting product, engineering, marketing, sales, customer success, and partners around a common customer mission, we help customers realize value faster and turn innovation into measurable business impact. Through deep technical expertise and differentiated go-to-market execution, we win competitively, capture market share, and scale repeatable growth motions. We differentiate through value creation - delivering world-class, AI-powered customer experiences that accelerate adoption, strengthen loyalty, and create sustainable competitive advantage, driving growth that outpaces the market.

MCAPS-Core Data & Applied AI (DAAI) is a centralized data and AI organization driving Microsoft's transformation through enterprise data platforms, advanced analytics, AI-powered solutions, automation, and governance. Our mission is to turn data into intelligence and intelligence into action, empowering teams across Microsoft to accelerate decision-making, increase productivity, and deliver exceptional customer outcomes through innovative customer-zero solutions.

MCAPS-Core DAAI is seeking a Data Engineer to design and build the scalable data foundations, pipelines, and data products that power analytics, AI, and business insights across Microsoft. This role combines strong data engineering and software engineering skills to deliver reliable, high-quality solutions that integrate enterprise data and enable trusted, actionable insights. The ideal candidate is a hands-on engineer who enjoys solving complex data challenges, building reusable and automated solutions, and partnering across engineering, analytics, data science, and product teams to deliver measurable business impact.

Candidates who live within 50 miles of Microsoft's Redmond campus will be required to work in the office 3 days per week. 

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, develop, test, and maintain secure, scalable data pipelines and processing solutions supporting UDP and enterprise analytics workloads.
  • Develop data engineering solutions using PySpark, SQL, Spark notebooks, and distributed data processing technologies across Microsoft Fabric and Azure Synapse environments.
  • Build and maintain curated data models and reusable datasets, applying sound dimensional modeling, data transformation, and data architecture practices.
  • Implement automated data quality, validation, monitoring, and production support capabilities to ensure reliable and trustworthy data products.
  • Optimize data pipelines and processing workloads for performance, scalability, reliability, and efficient resource utilization.
  • Apply engineering best practices including source control, code reviews, testing, CI/CD, documentation, and maintainable development patterns.
  • Implement appropriate security, privacy, access controls, and data governance requirements when processing sensitive enterprise and customer data.
  • Troubleshoot data pipeline, transformation, and production issues, performing root-cause analysis and implementing durable fixes.
  • Partner with analysts, engineering teams, and business stakeholders to translate reporting and analytics requirements into well-designed data solutions, communicate progress and technical tradeoffs, and resolve data issues.
  • Contribute to the continuous improvement of the UDP engineering platform by identifying opportunities to simplify pipelines, improve data architecture, increase reuse, and reduce operational complexity.

Other

  • Embody our culture and values.

Qualifications
Required/minimum qualifications 
  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) 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 2+ years experience in business analytics, data science, software development, data modeling, or data engineering
    • OR equivalent experience.
Other Requirements
  • 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.
Additional or preferred 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 5+ years experience in business analytics, data science, software development, data modeling, or data engineering
    • OR equivalent experience.
  • 1+ year(s) experience with data governance, data compliance and/or data security.
  • 3+ years of experience in data or analytics engineering, building and supporting production data solutions.
  • Experience developing Apache Spark/PySpark notebooks for large-scale data ingestion, transformation, enrichment, and processing.
  • Experience with Azure Synapse Analytics or similar distributed data platforms, including secure ETL and data-processing workloads.Proficiency in SQL and dimensional data modeling, transforming complex source data into curated datasets optimized for analytics and Power BI.
  • Experience building reliable production data pipelines, including validation, error handling, performance optimization, monitoring, and troubleshooting.
  • Ability to translate business and reporting requirements into scalable data solutions and collaborate across data engineering, BI, analytics, and architecture teams.
  • Hands-on experience with Microsoft Fabric Data Engineering, including Lakehouses, notebooks, Delta tables, OneLake, and SQL analytics endpoints.
  • Experience designing medallion/lakehouse architectures across raw, curated, and consumption-ready data layers.Understanding of enterprise data security and governance, including identity-based access, environment separation, and handling of sensitive data.
  • Experience with software engineering and DevOps practices for data solutions, including Git, code reviews, testing, CI/CD, and deployment across development, UAT, and production.
  • Experience using AI-assisted development tools and reusable AI skills to improve data engineering productivity, code quality, testing, and troubleshooting.

Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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.

Similar Jobs

Yesterday
Remote or Hybrid
District of Columbia, USA
128K-167K Annually
Mid level
128K-167K Annually
Mid level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3 • Infrastructure as a Service (IaaS)
Build and maintain scalable batch and streaming data pipelines for payments, ledger, transaction, and blockchain data. Own ingestion from databases, files, APIs, and onchain sources; develop incremental dbt models; orchestrate workflows in Dagster; and implement data quality, freshness, reconciliation, monitoring, deduplication, and late-data handling. Partner with engineering, analytics, data science, and risk teams to support reliable reporting and machine-learning features.
Top Skills: AirbyteAirflowApache BeamBigQueryCdcClickhouseDagsterDataflowDatastreamDbtDebeziumEvmFivetranFlinkGCPGcsKafkaMeltanoPub/SubPythonRustSftpSnowflakeSolanaSQL
Yesterday
Remote or Hybrid
179K-225K Annually
Mid level
179K-225K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Design, build, and support scalable cloud data platforms, pipelines, and applications. Collaborate with Agile teams, product managers, software engineers, analysts, and data scientists. Develop distributed data solutions using Python, Spark, SQL, Databricks, Snowflake, and relational or NoSQL databases. Establish reusable engineering patterns, data security controls, and operational practices while mentoring colleagues and communicating technical concepts to stakeholders.
Top Skills: AirflowAWSCassandraDagsterDatabricksDynamoDBEmrGlueGCPJavaAzureMongoDBMonte CarloNosql DatabasesPythonRedshiftRelational DatabasesScalaSnowflakeSparkSplunkSQL
Yesterday
In-Office or Remote
123K-165K Annually
Mid level
123K-165K Annually
Mid level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Build and operate reliable data pipelines and models supporting risk monitoring, compliance screening, regulatory reporting, and audit evidence. Work with large-scale on-chain and internal data using SQL, Python, cloud data warehousing, Airflow, dbt, and AI. Responsibilities include data quality checks, alerting, runbooks, on-call ownership, blockchain data modeling, backfills, access controls, peer reviews, and collaboration with engineering, compliance, analytics, and risk teams.
Top Skills: Apache AirflowBlockchainCloud Data WarehouseDbtPythonSQL

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account