Data Engineer San Francisco, CA - Remote

Swishanalytics; San Francisco (CA); Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative startup is seeking a Senior Data Engineer to join a passionate team focused on predictive sports analytics. In this remote role, you'll architect low-latency analytics systems and build cutting-edge data products that enhance the sports betting experience. If you're excited about working with real-time data and have a strong background in Python, SQL, and data engineering, this is the perfect opportunity for you. You'll be at the forefront of developing solutions that drive insights for consumers and enterprises alike, all while enjoying the flexibility of a remote work environment.

Qualifications

• 5+ years of experience writing production level code in Python.
• Proficiency in SQL and building end-to-end ETL pipelines.

Responsibilities

• Architect low-latency, real-time analytics systems.
• Build new sports betting data products and integrate complex datasets.

Skills

Python

SQL

Data Science

Machine Learning

Web Scraping

Kubernetes

Airflow

ETL Pipelines

Shell Scripting

Sports Betting Knowledge

Education

BS/BA in Mathematics

BS/BA in Computer Science

Tools

MySQL

AWS

Git

Job description

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

1. Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
2. Build new sports betting data products and predictions offerings
3. Integrate large and complex real-time datasets into new consumer and enterprise products
4. Support production systems and help triage issues during live sporting events
5. Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements

1. BS/BA degree in Mathematics, Computer Science, or related STEM field
2. Minimum of 5+ years of demonstrated experience writing production level code (Python)
3. Proficiency in Python and SQL (preferably MySQL); minimum of 5 years of experience
4. Demonstrated experience with Airflow
5. Demonstrated experience with Kubernetes
6. Experience building end-to-end ETL pipelines
7. Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
8. Experience with web scraping and cleaning unstructured data
9. Knowledge of data science and machine learning concepts
10. Knowledge of sports betting
11. Must have knowledge and understanding of NBA OR NFL and the ability use your knowledge of the sport to inform your work with complex datasets

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 employer’s discretion, this position may require successful completion of background and reference checks.