Data Engineer, Analytics

Lensa; Redmond (WA); On-site; USD 46,000 - 134,000; Full time

Job summary

A leading company is seeking a Data Engineer, Analytics in Redmond, WA. The role involves architecting and deploying data models, performing analysis for insights, and collaborating with product teams on data-driven projects. Ideal candidates will have a degree in Computer Science or a related field, along with programming skills in Python or Java.

Qualifications

• Currently pursuing a relevant degree.
• Programming knowledge in Python or Java.
• Knowledge of SQL and database systems.

Responsibilities

• Architect, implement and deploy new data models and data processes.
• Perform data analysis to generate business insights.
• Interface with Engineers and Product Managers to understand data needs.

Skills

Data modeling

Data analysis

Python

Java

SQL

Database systems

Education

Bachelor's or Master's degree in Computer Science, Mathematics or related field

Job description

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Lensa is the leading career site for job seekers at every stage of their career. Our client, META, is seeking professionals in Redmond, WA. Apply via Lensa today!

Summary

Are you passionate about Facebook’s product, analytics and technology? The Analytics, Data Engineering team is looking for fast-moving analytics candidates and data junkies who want to make an impact. Our data warehouse team works very closely with Product Managers, Product Analysts and Internet Marketers to figure out ways to acquire new users, retain existing users and optimize user experience - all of this using massive amounts of data. In this role, you will see a direct link between your work, company growth, and user satisfaction. You will work with some of the brightest minds in the industry, and you'll have the opportunity to solve some of the most challenging business problems on the web and mobile Internet, at a scale that few companies can match.

Required Skills

Data Engineer, Analytics Responsibilities:

• Architect, implement and deploy new data models and data processes in production
• Perform data analysis to generate business insights
• Interface with Engineers, Product Managers and Product Analysts to understand product goals and data needs
• Build data expertise and own data quality for allocated areas of ownership
• Manage data warehouse plans for a product or a group of products
• Support critical data processes running in production
  
  

Minimum Qualifications

Minimum Qualifications:

• Currently has, or is in the process of obtaining, a Bachelors or Masters degree in Computer Science, Mathematics, or related technical field
• Programming knowledge in Python or Java
• Knowledge of SQL
• Knowledge of database systems
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  
  

Preferred Qualifications

Preferred Qualifications:

• Experience thriving in a fast-paced work environment
• Curious, self-driven, analytical and excited to play with data
• Experience in collaborating with individuals and organizations
  
  

Public Compensation

$46.63/hour to $134,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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