Data Engineer, Product Analytics

Facebook; Seattle (WA); On-site; USD 173,000 - 242,000; Full time

Job summary

An established industry player is seeking a skilled Data Engineer to drive innovative data solutions across a vast array of applications. In this pivotal role, you will collaborate with talented teams to design and implement scalable data architectures, ensuring data quality and security while tackling complex analytical challenges. Your expertise will help shape product development and influence strategic decisions that impact billions of users worldwide. Join a world-class data engineering community dedicated to your growth and the future of data-driven solutions. This is an exciting opportunity to make a significant impact in a dynamic environment.

Benefits

Bonus

Equity

Comprehensive Benefits

Flexible Work Hours

Career Development Opportunities

Qualifications

• 7+ years of experience working with data in roles like data engineer or analyst.
• Strong knowledge of SQL, ETL processes, and data modeling techniques.

Responsibilities

• Design and build scalable data models and visualizations for various products.
• Collaborate with cross-functional teams to address data needs and insights.
• Optimize existing data processes and mentor team members.

Skills

SQL

ETL

Data Modeling

Python

Data Analysis

Data Visualization

Education

Bachelor's degree in Computer Science

Master's or Ph.D degree in a STEM field

Tools

Data Infrastructure

Data Governance Tools

Job description

Summary:

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide. In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community. You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.

Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Required Skills:

Data Engineer, Product Analytics Responsibilities:

1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.
2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
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 Service Level Agreements for all data sets in allocated areas of ownership.
5. 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.
6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.
8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.
9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
10. Influence product and cross-functional teams to identify data opportunities to drive impact.
11. Mentor team members by giving/receiving actionable feedback.

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent.
2. 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.
3. 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others).

Preferred Qualifications:

1. Master's or Ph.D degree in a STEM field.

Public Compensation:

$173,000/year to $242,000/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].