Data Engineer

Lensa; Denver (CO); Remote; USD 177,000 - 197,000; Full time

Job summary

Lensa is promoting a Data Engineer position with Meta Platforms Inc., a leader in technology. The role involves designing data pipelines, analyzing requirements, and developing tools that support business insights. This full-time role offers competitive compensation and the ability to telecommute within the US.

Qualifications

• 3 years experience in data engineering or related roles.
• 3 years experience in analyzing large volumes of data.
• 36 months experience in data warehousing architectures.

Responsibilities

• Design, build, and launch data pipelines to generate business insights.
• Analyze user needs and software requirements.
• Develop software and data solutions for data-driven decisions.

Skills

Data modeling

Data warehousing

HTML

Data analysis

Education

Master’s degree in Computer Science or a related field

Job description

2 days ago Be among the first 25 applicants

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for META.

Summary

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

Required Skills

Data Engineer Responsibilities:

• Design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product.
• Analyze user needs and software requirements to determine workability and to offer support for end users on data usage.
• Design, architect, and develop software and data solutions that help product and business teams make data-driven decisions.
• Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouse plans.
• Design, develop, test and launch new data models and processes into production, and provide support.
• Leverage homegrown extract, transform, and load (ETL) framework as well as off-the-shelf ETL tools, as appropriate.
• Interface closely with data infrastructure, product, and engineering teams to build and extend cross platform ETL and reports generation framework.
• Identify data infrastructure issues and drive to resolution.
• Telecommute from anywhere in the US permitted.
  
  

Minimum Qualifications

Minimum Qualifications:

• Requires Master’s degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, or a related field and 3 years of experience in the job offered or in a related occupation.
• Requires 36 months of experience in the following:
• Internet technologies including HTML
• Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies
• Data warehousing architecture and plans
• Dimensional data modeling
• Schema Design
  

Public Compensation

$177,406/year to $196,900/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].

If you have questions about this posting, please contact [e-mail]

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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