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META
Washington, DC, 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: METANoblis
Reston, VA, United States
Responsibilities Noblis is expanding its data development team to support a wide variety of client needs focused on electronic fraud . The successful candidate will work collaboratively with the Noblis Lead Data Analytics architects and data scientist s to design and implement analytics, data ETL, data QA, and a variety of operational needs to sup
Job Source: NoblisMicroStrategy Services Corp.
Tysons Corner, Virginia
Job Description Job Summary: We are seeking a highly motivated Data Analytics Engineer to join our team. As a Data Analytics Engineer, you will be responsible for designing, developing, and implementing natural language processing (NLP) and AI-based solutions to enhance our products and services. You will work collaboratively with cross-functiona
Job Source: MicroStrategy Services Corp.Money Fit by DRS
Reston, VA, United States
Hello! Are you ready to Work from Home and transform your career? If you have great consulting skills and know you can consistently delight our customers and help grow our accounts, Modus is the perfect fit for you. Our high performance team helps our clients to build awesome solutions to accomplish their goals and vision. Are you interested in wor
Job Source: Money Fit by DRSISTITUTO MARANGONI
Reston, VA, United States
Responsibilities *** This position is for upcoming work. When there is a position available we will evaluate resumes, and reach out to qualified candidates*** Noblis is expanding its data development team to support a wide variety of client needs focused on electronic fraud. The successful candidate will work collaboratively with the Noblis Lead D
Job Source: ISTITUTO MARANGONIDemo - Maximus
Reston, VA, United States
Job Summary The Sr. Engineer - Data Analytics Technology is a key contributor to the successful delivery of analytic solutions They are experienced in data, analytics, and data science development and implementation, data architecture, data visualization and communication, ETL/ELT layers, and performance tuning. With an emphasis on effective colla
Job Source: Demo - MaximusRELX INC
Washington, DC, United States
Are you keen to develop your Product Management career? Are you passionate about advancing the mission of colleges and universities? Would you enjoy working on our cutting-edge products? About our Team With innovative products designed to support the entire faculty lifecycle, Interfolio from Elsevier enables academic leaders to effectively advance
Job Source: RELX INCMoney Fit by DRS
Laurel, MD, United States
Are you a Software Engineer / Data Analytics who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then being dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly t
Job Source: Money Fit by DRSWashington, DC, 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 Washington, DC, United States
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