Data Engineer, Product Analytics - Meta
Remote, OR
About the Job
As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match.
RESPONSIBILITIES
Data Engineer, Product Analytics Responsibilities:
MINIMUM QUALIFICATIONS
Minimum Qualifications:
PREFERRED QUALIFICATIONS
Preferred Qualifications:
RESPONSIBILITIES
Data Engineer, Product Analytics Responsibilities:
- Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
- Identify the data needed for a business problem and implement logging required to ensure availability of 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 in a meaningful way
- Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
- Design, build and launch new data models and visualizations in production, leveraging common development toolkits
- Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
- Support existing processes running in production and implement optimized solutions with limited guidance
- Define and manage SLA for data sets in allocated areas of ownership
MINIMUM QUALIFICATIONS
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 2+ years of work experience in data engineering
- Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
PREFERRED QUALIFICATIONS
Preferred Qualifications:
- Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy
- Experience working with terabyte to petabyte scale data
Source : Meta