Swish Analytics

Data Engineer - Trading Analytics

Posted 2 Days Ago

San Francisco, CA

Junior

Sports

The Role

The Data Engineer will enhance Trading Analytics by ensuring accurate data ingestion and reporting. Responsibilities include developing reports and dashboards, maintaining data integrity, identifying quality issues, integrating real-time datasets, and building predictive analytics APIs.

Summary Generated by Built In

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

Swish Analytics is seeking a Data Engineer to support our Trading Analytics team. The person in this role will ensure that client data is accurately ingested and reported to key stakeholders. They will work closely with the Trading team and Software Engineering team to troubleshoot client streams and monitor the accuracy of results in real-time. 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:

Advance data engineering aspects of Trading Analytics, enabling faster and better trading decisions and reducing the reliance on manual reporting
Lead Trading team and customer based reporting, as well as on-demand data needs for Swish.
In conjunction with Trading Analytics Manager, the Data Engineer will develop impactful and accurate reports, dashboards, and other data visualizations.
Maintain data integrity and ongoing quality of delivered reports.
Identify data quality issues and work with Data Science, Data Engineering, and Software Engineering teams to resolve challenges.
Integrate large, complex real-time datasets into new consumer and enterprise products.
Develop production-level predictive analytics into enterprise-grade APIs.
Contribute to the implementation of fully-automated sports data delivery frameworks.

Requirements:

BS degree or higher in Computer Science, Data Science, Data Analytics or similar major
Minimum of 1 year of experience writing production level code.
Proficiency in Python (pandas, NumPy).
Proficiency in SQL (preferably MySQL).
Experience utilizing REST APIs.
Experience in SQL database management, shema design, index structuring.
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.

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.