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Lensa · 11 months ago

Data Engineer, Product Analytics

Columbia, SC

Full-time

Onsite

Senior Level

$173K/yr - $242K/yr

7+ years exp

Lensa is a job search engine that uses machine learning to match candidates to companies' skills, goals, personalities, and needs. As a Data Engineer at Meta, you will shape the future of data solutions across their applications, collaborating with various teams to optimize growth and user experience. You will tackle complex data challenges and influence product development through data-driven insights.

SoftwareHuman ResourcesGamingRecruitingVideo Games

Responsibilities

Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems

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

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

Define and manage Service Level Agreements for all data sets in allocated areas of ownership

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

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

Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources

Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts

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

Mentor team members by giving/receiving actionable feedback

Qualification

Data ArchitectureSQLETLData ModelingPythonC++C#ScalaData IntegrationData QualityMentoring

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent

7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions

7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)