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INSPYR Solutions
San Francisco, CA, United States
Title: Senior Data Engineer Location: Remote Duration: 6 -12 months Compensation: $80- $90 an hour Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. Description/Comment We are seeking a skilled and motivated Data Engineer to join our dynamic team. As a Data Engineer, you will play a crucial role in designing, develop
Job Source: INSPYR SolutionsSwish Analytics
San Francisco, CA, United States
Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passi
Job Source: Swish AnalyticsAffinity.co
San Francisco, CA, United States
Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into their team's network of opportunities. Reporting to the Engineering Manager, you'
Job Source: Affinity.coKnewin
Foster City, CA, United States
The Data team leverages data from our autonomous vehicles and operations to determine autonomy and service readiness. We provide the foundation for strategic decision-making at Zoox. You will develop and implement the next generation of our data pipeline to ensure visibility into our business as we scale toward the launch of an autonomous mobility
Job Source: KnewinWorkday
San Francisco, CA, United States
The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / met
Job Source: WorkdayPave
San Francisco, CA, United States
Why join Pave? At Pave, our vision is simple - Make Compensation Fair. How are we going to get there? By building the most intelligent compensation platform, powered by the largest real-time compensation dataset on earth. We partner with our customers to help them build and retain world-class teams through planning, communicating and benchmarking t
Job Source: PaveSentry
San Francisco, CA, United States
Bad software is everywhere, and we’re tired of it. Sentry is on a mission to help developers write better software faster, so we can get back to enjoying technology. With more than $217 million in funding and 90,000 organizations that believe we’re on to something, we're building performance and error monitoring tools that help companies like Disne
Job Source: SentryYeah! Global
San Francisco, CA, United States
Note: This position might offer visa sponsorship for the right candidate. One of our client is on the hunt for a Senior Data Engineer to bolster fundamental data models and infrastructure. You’ll be instrumental in fortifying our real-time and data annotation pipelines, analytics warehouse, MLOps, real-time monitoring, and business intelligence re
Job Source: Yeah! GlobalSan Francisco, CA, United States
Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description The Swish Analytics team is seeking Senior Data Engineers to have direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings. We're a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Duties
Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
Build new sports betting data products and predictions offerings
Integrate large and complex real-time datasets into new consumer and enterprise products
Develop production-level predictive analytics into enterprise-grade APIs
Support production systems and help triage issues during live sporting events
Contribute to the design and implementation of new, fully-automated sports data delivery frameworks
Requirements
BS/BA degree in Mathematics, Computer Science, or related STEM field
Minimum of 5+ years of demonstrated experience writing production level code (Python)
Proficiency in Python and SQL (preferably MySQL); minimum of 5 years of experience
Demonstrated experience with Airflow
Demonstrated experience with Kubernetes
Experience building end-to-end ETL pipelines
Experience utilizing REST APIs
Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
Experience with web scraping and cleaning unstructured data
Knowledge of data science and machine learning concepts
Knowledge of sports betting. An understanding of US-based sports including the NFL, NBA, MLB, NHL, Tennis, College Football/Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets
Salary: $127,500 - 172,500
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employers discretion, this position may require successful completion of background and reference checks.
Senior Data Engineer jobs in San Francisco, CA, United States
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