Data Engineer, Analytics

Meta; Salem (OR); Remote; USD 212,000 - 236,000; Full time

Job summary

A leading technology company in Oregon is seeking an experienced professional to design and implement data warehousing activities and collaborate with cross-functional teams. The ideal candidate should have a bachelor's degree in a related field and at least five years of experience working with big data, ETL design, and Python programming. This position allows for telecommuting from anywhere in the U.S.

Benefits

Bonus

Equity

Comprehensive benefits

Qualifications

• Bachelor's degree or equivalent experience in a related field.
• Five years of relevant work experience required.
• Experience in big data and data warehouse ecosystems.

Responsibilities

• Design and implement data warehousing activities.
• Collaborate with engineers and product managers.
• Optimize data pipelines and visualizations.

Skills

Big data ecosystem knowledge

Custom ETL design

Schema design

SQL proficiency

Data analysis skills

Python programming

Education

Bachelor’s degree in Computer Science or related field

Seven years of experience as equivalent

Job description

Overview

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.

Responsibilities

1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.




2. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.




3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.




4. Define and manage SLA for all data sets in allocated areas of ownership.




5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.




6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.




7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.




8. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.




9. Influence product and cross-functional teams to identify data opportunities to drive impact.




10. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.




11. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.




12. Telecommute from anywhere in the U.S. permitted.

Minimum Qualifications

1. Requires a Bachelor’s degree (or foreign degree equivalent) in Computer Science, Engineering, Computer Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field, and five years of work experience in the job offered or in a computer-related occupation.




2. Alternatively, the employer will accept seven years of work experience in the job offered or a computer-related occupation as equivalent to the Bachelor\’s degree and five years of work experience.




3. Any suitable combination of education, training, or experience is acceptable.




4. Requires five years of experience in the following:



5. 1. Features, design, and use-case scenarios across a big data or data warehouse ecosystem


6. 1. Custom ETL design, implementation, and maintenance


7. 1. Schema design and dimensional data modeling


8. 1. Writing SQL statements


9. 1. Analyzing data to identify deliverables, gaps, and inconsistencies


10. 1. Managing and communicating data warehouse plans to internal clients, AND


11. 1. Python.

Compensation

Public Compensation: $212,275/year to $235,400/year + bonus + equity + benefits

Industry

Industry: Internet

Equal Opportunity

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].