Email Alert for
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.
Dice
Menlo Park, CA, United States
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Meta Platforms, Inc. (f/k/a Facebook, Inc.), is seeking the following. Apply via Dice today! Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Data Engineer (Product Analytics): Design, model, or implement d
Job Source: DiceLadder
Palo Alto, CA, United States
About Ladder We saw a problem within the life insurance industry: getting covered took too long, involved too much paperwork, and required too many in-person meetings with salesy agents. Having lost his father at a young age, our CEO, Jamie, was determined to make it easier for people to get the coverage they needed to provide for their families.
Job Source: LadderLadder
Palo Alto, CA, United States
Ladder We saw a problem within the life insurance industry: getting covered took too long, involved too much paperwork, and required too many in-person meetings with sales agents. Having lost his father at a young age, our CEO, Jamie, was determined to make it easier for people to get the coverage they needed to provide for their families. So,
Job Source: LadderOBSERVE, LLC
San Mateo, CA, United States
About Us: Observe is a SaaS Observability product that enables businesses to investigate modern distributed applications 10x faster. Observe ingests anything with a timestamp (e.g. system and application logs, metrics, and traces), and then structures that data so that it is correlated and easy to navigate. We enable engineers to spend more time
Job Source: OBSERVE, LLCMoney Fit by DRS
San Francisco, CA, United States
Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply. Handshake is committed to providin
Job Source: Money Fit by DRSIntelliswift Software
San Francisco, CA, United States
Title - Product Analytics/Scientist Location - San Francisco, CA hybrid Duration - 12 Months Pay rate - $104.23 per hour on W2 Drive analysis on various projects for Adobe Express to improve the experience of our users. Own data analysis, visualization and communicate the outcomes/insights to various stakeholders to aid strategic decisions. Iden
Job Source: Intelliswift SoftwareHandshake
San Francisco, CA, United States
Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply. Handshake is committed to providi
Job Source: HandshakeMETA
Burlingame, CA, United States
Summary: As a Data Scientist 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, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help
Job Source: METABurlingame, CA, United States
Summary:
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.
Required Skills:
Data Engineer, Product Analytics 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 SLA 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 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.
Minimum Qualifications:
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
5+ years experience in the data warehouse space.
5+ years experience in custom ETL design, implementation and maintenance.
5+ years experience with object-oriented programming languages.
7+ years experience with schema design and dimensional data modeling.
7+ years experience in writing SQL statements.
Experience analyzing data to identify gaps and inconsistencies.
Experience managing and communicating data warehouse plans to internal clients.
Preferred Qualifications:
Preferred Qualifications:
Master's or Ph.D degree in a STEM field
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
Experience influencing product decisions with data.
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 [email protected].
Email Alert for Data Engineer, Product Analytics jobs in Burlingame, CA, United States
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.