S'INSCRIRE

Offres d'emploi

Trouvez des postes près de chez vous, sur site, hybrides ou à distance.
  • Emplois similaires à : Remote Staff Analytics Engineer - US (Remote)
XX
Remote Staff Software Engineer - Stats and AnalyticsGrabJobs • New York, New York, United States
Postuler Maintenant
XX

Remote Staff Software Engineer - Stats and Analytics

GrabJobs
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity. StackAdapt is the no. 1 performing programmatic advertising platform helping brands accelerate customer engagement and acquisition. This state-of-the-art platform is where some of the most progressive work in machine learning meets cutting-edge user experience. Ranking the highest in performance by G2 Crowd for the fourth time, were one of the fastest growing companies in Canada and ranks 6th in Deloittes Technology Fast 50 ranking and 23rd in Fast 500 in North America. Were seeking a Staff Engineer to help lead our growing backend engineering team. Our real-time advertising bidding system handles over 3,000,000 requests per second and stores several terabytes of data every day. Our technologies include Go, Ruby on Rails, Aerospike, Redis, Elasticsearch, Kafka, RocksDB, Redshift, ScyllaDB, GraphQL and others. Were not afraid to test and try new technologies. About the Team:
The Stats & Analytics team at StackAdapt is responsible for managing the end-to-end data lifecycle, from ingesting diverse data types such as engagement events (impressions, clicks) and conversion data (purchases, website visits) to distributing this data across critical downstream services like reporting, billing, bidding, and analytics. We also ensure that this data is accessible for offline use, supporting data warehousing, client reporting, and custom dashboards. Our team tackles complex distributed system challenges, focusing on scalability, performance, reliability, and data consistency. We leverage a modern tech stack that includes Golang for high-performance services, TiDB for scalable SQL databases, Redshift and Snowflake for data warehousing, Kafka for real-time streaming, Elasticsearch for powerful search and analytics, and HDFS for distributed storage. If youre passionate about solving large-scale data problems and working with cutting-edge technologies, the Stats & Analytics team offers an exciting opportunity. Watch our talk at Amazon Tech Talks:
https://www.youtube.com/watch?v=lRqu-a4gPuU StackAdapt is a Remote First company, we are open to candidates located anywhere in North America for this position.
\n What youll be doing: Working with team of engineers focused on building StackAdapt’s stats and analytics offering
Build deep understanding and expertise in multiple different databases that house petabytes of data
Architect scalable low-latency backend systems and data pipelines. Write code as needed to support the team.
Lead and mentor a team of talented engineers within the backend distributed systems team
Make a positive impact on the teams productivity and growth
Promote software development best-practices and conduct rigorous code reviews
Rigorously identify and solve technical challenges
Conduct interviews to attract and identify potential high performing candidates
Balance and prioritize projects to maximize efficiency and ensure company objectives are achieved Well be reaching out to applicants that have: Experience with working with large datasets
Experience with real-time analytics services
Proven track record of delivering results and leading growing, high-impact teams
At least 5 years experience of software development in distributed systems, architecting scalable microservices and data pipelines in a successful high-growth technology company
At least 1 year of leadership experience, including all the responsibilities listed above
A strong understanding of computer science fundamentals, data structures, and algorithms
Up to date knowledge and experience in the latest technologies, tools, and frameworks
Experience with Go and high performance databases is a plus StackAdapters enjoy: Highly competitive salary
RRSP/401K matching
3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
Access to a comprehensive mental health care platform
Full benefits from day one of employment
Work from home reimbursements
Optional global WeWork membership for those who want a change from their home office
Robust training and onboarding program
Coverage and support of personal development initiatives (conferences, courses, etc)
Access to StackAdapt programmatic courses and certifications to support continuous learning
An awesome parental leave policy
A friendly, welcoming, and supportive culture
Our social and team events! \n StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. About StackAdapt Weve been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. Weve been awarded: Ad Age Best Places to Work 2024
G2 Top Software and Top Marketing and Advertising Product for 2024
Campaign’s Best Places to Work 2023 for the UK
2024 Best Workplaces for Women
and
in Canada
by Great Place to Work® 1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
LI-Remote
  • New York, New York, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.