Data Engineer, Analytics

Lensa; Trenton (NJ); Remote; USD 220,000 - 236,000; Full time

Job summary

A leading technology company seeks a Data Engineer who will design and implement data systems essential for decision-making. The position requires expertise in data modeling, ETL, and data visualization, with a focus on collaboration and optimization. This mid-senior level role offers a competitive salary and benefits within a dynamic and inclusive environment.

Qualifications

• 3 years of experience in data engineering roles.
• Proficiency with custom ETL design and implementation.
• Familiarity with big data ecosystem features.

Responsibilities

• Design and implement data warehousing activities.
• Collaborate with cross-functional teams for data insights.
• Optimize data processing pipelines and visualizations.

Skills

Data Engineering

SQL

Python

ETL

Data Modeling

Education

Master's degree or foreign equivalent in Computer Science or related field

Job description

1 day ago Be among the first 25 applicants

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, Analytics Responsibilities:

• Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
• Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
• Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
• Define and manage SLA for all data sets in allocated areas of ownership.
• Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
• 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.
• Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
• Influence product and cross-functional teams to identify data opportunities to drive impact.
• Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
• Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
• Telecommute from anywhere in the US permitted.
  
  

Minimum Qualifications

Minimum Qualifications:

• Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Systems Engineering, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and three years of work experience in the job offered or in a computer-related occupation.
• Requires three years of experience in the following:
• Features, design, and use-case scenarios across a big data ecosystem
• Custom ETL design, implementation, and maintenance
• Object-oriented programming languages
• Schema design and dimensional data modeling
• Writing SQL statements
• Analyzing data to identify deliverables, gaps, and inconsistencies
• Managing and communicating data warehouse plans to internal clients
• MapReduce or MPP system and
• Python.
  

Public Compensation

$220,720/year to $235,400/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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