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Senior Data Engineer
Microsoft Redmond, WA
$125k-163k (estimate)
Full Time | Software & Cloud Computing 0 Months Ago
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Microsoft is Hiring a Senior Data Engineer Near Redmond, WA

Microsoft runs on trust. Earning and keeping that trust has never been more important.
In Customer Security and Trust (CST), program managers, engineers, analysts, investigators, data scientists, attorneys, and business professionals are responsible for some of the most exciting projects at Microsoft focused on protecting our customers.
- We actively partner with law enforcement and security organizations around the globe to disrupt bad actors who are using malware, phishing scams, IP abuse, tech support fraud, and other means to target our customers.
- We ensure that governments who are requesting data from Microsoft in support of their criminal investigations through legal orders follow due process, striking a balance between fighting cybercrime and protecting customer data.
- We provide solutions to demonstrate that Microsoft is in compliance with cybersecurity practices in support of government and industry customers.
Our CST Engineering team is growing. We are looking for a Senior Data Engineer to join our team and help deliver on our vision of creating a safer digital experience for every person and organization on the planet, which in turn, promotes trust in Microsoft.
As part of the CST Engineering team, you will be hands-on building products from inception to launch and everything in-between.
The successful candidate will have a strong sense of teamwork, personal integrity, accountability, and the ability to understand business functions and requirements, translating to innovative working applications while navigating competing priority tradeoffs
Responsibilities
- Leads collaborations with appropriate stakeholders across product groups and uses understanding of tradeoffs and project costs to recommend appropriate data requirements.
- Applies in-depth knowledge of the business to design a data model that is appropriate for the project and translates business requirements into design specification documents to model the flow and storage of data across multiple data pipelines.
- Identifies multiple, complex data sources and builds advanced code to extract raw data from identified upstream sources using query languages, tools, or machine learning algorithms, while assuring accuracy, validity, and reliability of the data across the pipeline.
- Uses and contributes to the development of advanced and reusable modification techniques and operations.
- Collaborates with others to identify opportunities to optimize data tools used to transform, manage, and access data across teams. Ensures the effectiveness and placement of performance monitoring protocols across multiple data pipelines.
- Leads root cause analysis in response to detected problems/anomalies to identify the reason for alerts and implement advanced solutions that prevent recurring points of failure.
- Anticipate the need for data governance and works with designated committees to ensure that data modeling and data handling procedures are compliant with applicable laws and policies across responsibilities in the data pipeline.
- Uses technical expertise of existing tools' strengths and limitations to improve data tools used to transform, manage, and access data across the organization
- Leads the negotiation of complex agreements with partners and system owners to align on project delivery, data ownership between both parties, and the shape and cadence of data extraction for a complex product
- Embody our culture (https://careers.microsoft.com/us/en/culture) and a demonstrated commitment to the company's core values (https://www.microsoft.com/en-us/about/corporate-values) , including a commitment to high ethical standards, unquestioned integrity, and a commitment to advancing the company's diversity & inclusion commitments.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related field AND 4 years of experience in business analytics, data science, software development, data modeling and/or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3 years of experience in business analytics, data science, software development, data modeling and/or data engineering work OR equivalent experience.
- Experience with a combination of tools/tech including but not limited to: C#, SQL Server, and Python.
- Experience working across the data stack on a variety of complex projects, while providing technical and thought leadership.
- 3 years of experience in the areas of Graph databases, and Big Data or Hyper Scale processing offering in Azure.
- 4 years of experience in the BI/Analytics space using a combination of tools/tech including but not limited to NoSQL, PowerBI, Kusto, Azure Synapse Analytics, Data Explorer, Cosmos, App Insights, and Snowflake (or similar).
- Experience developing best practices on designing components of the data model for a functional area of a project.
- The successful candidate must be a U.S. Citizen.
Preferred Qualifications:
- Technical expertise of existing tools' strengths and limitations to improve data tools used to transform, manage, and access data across the organization.
- Excellent attention to detail with desire to learn and master new technologies.
- Ability to organize, schedule work and communicate effectively in a fast-paced environment, while maintaining confidentiality.
- Collaborate effectively with product management, program management, engineers, and stakeholders.
- Excellent analytical and critical thinking skills
- Ability to Interprets laws and works with engineers to understand and develop data modeling and data management, access, visualization procedures that ensure compliance with applicable laws, and policies across the whole data pipeline
- Experience with microservices architectures and container technologies, such as docker and Kubernetes.
- Expertise in the areas of CI/CD, Continuous testing, and site reliability.
- Working experience in AI/ML Ops.
- Ability to influence without authority and thrive in an ambiguous environment.
#CELA
Citizenship Verification: This position requires verification of US Citizenship to meet federal government security requirements.
Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 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 $145,800 - $238,600 per year.
Microsoft has different base pay ranges for different work locations within the United States, which allows us to pay employees competitively and consistently in different geographic markets (see below). The range above reflects the potential base pay across the U.S. for this role (except as noted below); the applicable base pay range will depend on what ultimately is determined to be the candidate's primary work location. Individual base pay depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time.
At Microsoft certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role. Benefits/perks listed here may vary depending on the nature of employment with Microsoft and the country work location. U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others. U.S.-based employees also receive up to 10 paid holidays, accrue up to 15 paid vacation days, and receive up to 80 hours paid sick time (front-loaded) per calendar year.
Our Commitment to Pay Equity
We are committed to the principle of pay equity - paying employees equitably for substantially similar work. To learn more about pay equity and our other commitments to increase representation and strengthen our culture of inclusion, check out our annual Diversity & Inclusion Report. ( https://www.microsoft.com/en-us/diversity/inside-microsoft/annual-report )
Understanding Roles at Microsoft
The top of this page displays the role for which the base pay ranges apply - Data Engineering IC4.
The way we define roles includes two things: discipline (the type of work) and career stage (scope and complexity). The career stage has two parts - the first identifies whether the role is a manager (M), an individual contributor (IC), an admin-technician-retail (ATR) job, or an intern. The second part identifies the relative seniority of the role - a higher number (or later letter alphabetically in the case of ATR) indicates greater scope and complexity.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form (https://careers.microsoft.com/us/en/accommodationrequest) .
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Software & Cloud Computing

SALARY

$125k-163k (estimate)

POST DATE

03/24/2023

EXPIRATION DATE

04/16/2023

WEBSITE

microsoft.com

HEADQUARTERS

NASHVILLE, TN

SIZE

>50,000

FOUNDED

1975

TYPE

Public

CEO

JAMES OKEEFE

REVENUE

>$50B

INDUSTRY

Software & Cloud Computing

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About Microsoft

Microsoft is a Washington-based technology company that develops, manufactures, licenses, and sells personal-computer software apps and electronics systems.

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The job skills required for Senior Data Engineer include Attention to Detail, Collaboration, Project Delivery, Communicates Effectively, Critical Thinking, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Senior Data Engineer job description and responsibilities

The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.

03/09/2022: Billings, MT

The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.

01/05/2022: Melbourne, FL

Create architecture for real-time, big data applications with minimal maintenance effort.

03/23/2022: Benton Harbor, MI

Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.

01/22/2022: Greenville, MS

Provides successful deployment and provisioning of data solutions to production or other required environments.

01/12/2022: Dothan, AL

Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Engineer jobs

Apply for an entry-level data engineer role and gain experience.

02/06/2022: Providence, RI

Earn a bachelor’s degree related to data engineering and begin working on projects.

02/16/2022: Denver, CO

Consider pursuing additional professional engineering or big data certifications.

03/06/2022: Raleigh, NC

Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.

01/24/2022: Abilene, TX

Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.

01/02/2022: New York, NY

Step 3: View the best colleges and universities for Senior Data Engineer.

Butler University
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