Data Engineer IV

Data Engineer IV — RL PSO - Customer Experience
As a Data Engineer at Meta Reality Labs' Customer Experience (CX) team, you will be part of a global team that unlocks the power of customer feedback and insights to drive business improvements. Your background and experience in building scalable data pipelines, designing robust data architectures, and creating insightful self-service dashboards will provide visibility into the health of our key business metrics, enabling us to deliver insights that enhance customer experiences. You will also play a key role in enabling AI-driven analytics and automation capabilities across the team—leveraging large language models, machine learning workflows, and intelligent tooling to accelerate insight generation and operational efficiency. Additionally, you will contribute to the development of data governance policies, data quality standards, and data visualization best practices, ensuring the accuracy, reliability, and actionability of our data assets.

We're seeking a data engineer with a strong technical background in data engineering and AI enablement, combined with functional expertise in customer experience insights—specifically in customer support and operations. To excel in this role, you'll need to be passionate about data, adept at managing multiple projects simultaneously, and thrive in a fast-paced environment. You should also possess excellent organizational and presentation skills, be able to build and maintain strong relationships with internal partners and stakeholders, and demonstrate a proven ability to work effectively within cross-functional teams.

Data Engineer IV Responsibilities

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Data Engineering & Architecture — 40%**
Design, develop, integrate, launch, and maintain scalable data pipelines (batch and streaming) that support multiple use cases across PSO
Build and optimize ETL/ELT workflows, data models, and data warehouse architectures to facilitate efficient development of data artifacts
Implement data quality frameworks including validation, monitoring, alerting, and lineage tracking to ensure data reliability
Develop and manage orchestration workflows (e.g., Airflow, Dataswarm) for scheduling and dependency management of data pipelines
Optimize query performance, pipeline efficiency, and storage costs across large-scale data infrastructure

Analytics & Visualization — 20%
Create interactive and dynamic data visualizations that communicate complex insights to stakeholders
Work with various data sources—including customer interactions, feedback, behavioral data, and operational logs—to integrate and build reports that identify pain points and trends
Develop and track key performance indicators to measure the effectiveness of customer experience initiatives

AI Enablement & Automation — 40%
Enable AI/ML-powered analytics by building and maintaining feature pipelines, curated datasets, and model-ready data assets
Leverage large language models (LLMs) and generative AI tools to automate data workflows, accelerate insight generation, and enhance self-service capabilities for stakeholders
Develop and maintain prompt engineering frameworks, AI-assisted reporting tools, and intelligent automation solutions that scale team productivity
Partner with engineering and data science teams to integrate AI/ML model outputs into dashboards and operational workflows
Evaluate and implement emerging AI tools and techniques to continuously improve the team's analytics and data engineering capabilities
Cross-Functional Partnership
Work closely with customer service and operations, product, and engineering teams to integrate data insights into business decisions and drive customer experience improvements
Champion data literacy and AI enablement across the organization through documentation, training, and best practice sharing

Minimum Qualifications
8+ years of experience doing quantitative and operational analyses in a customer support/service, e-commerce, or order management organization
Strong data engineering skills: experience designing and building production-grade data pipelines, data models, and ETL/ELT processes at scale
Proficiency in SQL (complex queries, performance tuning, window functions) and at least one programming language (Python preferred)
Experience with data warehousing platforms (e.g., Hive, Presto, Spark, Snowflake, or BigQuery)
Experience with workflow orchestration tools (e.g., Airflow, Dataswarm, or equivalent)
Experience with data visualization tools such as Tableau, Looker, or equivalent for creating self-service dashboards
Demonstrated experience with data quality frameworks, data governance, and data modeling best practices (dimensional modeling, star/snowflake schemas)
Hands-on experience with AI/ML enablement—such as building feature pipelines, working with LLM-based tools, or implementing AI-assisted analytics workflows
Analytics experience manipulating large datasets to formulate insights and drive solutions
Track record of operating independently, managing ambiguity, and delivering results
Strong communication skills with experience articulating issues to both technical and non-technical audiences
Cross-functional experience, including leading or influencing change through data-driven insights

Preferred Qualifications
Experience with generative AI tools and frameworks (e.g., prompt engineering, RAG architectures, LLM APIs, or AI agent workflows)
Familiarity with version control (Git), CI/CD for data pipelines, and infrastructure-as-code practices
Experience with streaming data technologies (e.g., Kafka, Spark Streaming)
Knowledge of metadata management, data cataloging, and data lineage tools
Background and knowledge of CX/CS operations and metrics
Familiarity with customer support platforms (e.g., Salesforce)
Experience with digital analytics tools (e.g., Google Analytics, Adobe Analytics)
Experience with scripting for automation (Python, Bash) and building internal tooling
Familiarity with agile development methodologies
Experience working in the high-volume consumer electronics industry
Experience working with operations functions, preferably in the customer experience or customer support operations space

This posting is for a contract assignment with Tundra Technical Solutions to provide services to Meta

The pay range that Tundra in good faith reasonably expects to pay for this position is $100/hour - $110/hour.

Tundra’s benefits offering includes optional medical, dental, vision, retirement benefits, up to 15 Days PTO per annum and a New Child Benefit.

We would like to thank you for your interest in this opportunity. However, only candidates under consideration will be contacted.

Tundra Technical Solutions is a global workforce and technology delivery firm, ranked by Staffing Industry Analysts as one of the largest in North America. At Tundra, we aren't just hiring top talent at the world's most recognizable brands; we are pioneers of social recruitment.

This post is for a contract assignment. Assignment duties and duration are subject to business needs and requirements. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics.

California Notice: Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.

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Meta and Tundra Technical Solutions, its recruiting services provider, use software with artificial intelligence and automated processing features to assist with recruiting for this role, including sourcing and reviewing applications. A recruiter or hiring manager decides which candidates advance.

The Meta CWX Program is enabled by a cutting-edge software platform called TalentNet that leads the contingent labor world for technology innovation. The software platform leverages Machine Learning and Artificial Intelligence to make sure the right people end up in the right job.

At Meta, we are constantly iterating, solving problems, and working together to connect people all over the world. That’s why it’s important that our workforce reflects the diversity of the people we serve. Hiring people with different backgrounds and points of view helps us make better decisions, build better products, and create better experiences for everyone.

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