Data Engineer - Metairie, United States - Kuraray America , Inc.

Description

Inclusively is partnering with a professional sports team to hire a Data Engineer.

ABOUT INCLUSIVELY:

Inclusively is a digital tech platform that connects candidates with disabilities, who may benefit from workplace accommodations, to inclusive employers.

This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD).

Applicants with one or more of these conditions are encouraged to apply; Inclusively does not require applicants to disclose their specific disability.

What you will be doing:
Engage and collaborate with business analysts to find opportunities, understand requirements, and translate requirements into technical data science solutions
Design, engineer and maintain analytical tools and models using statistical or data science approach, apply tried-and-true techniques, and develop custom algorithms as needed by the business problem
Collaborate with data scientists and business analysts to design, test and implement robust automated and/or batch machine learning solutions
Build and maintain data sources and ETL/ELT processes across business operations, such as social media data, digital and text message data, live traffic data, weather data,

Help ensure database integrity by building and maintaining resilient data processes, and assist with architecting data storage solutions to efficiently store and retrieve information.

Collaborate with business analysts to ensure operational and business metric health by monitoring key decision points, and provide actionable insights instantaneously to business analysts and key business decision makers
Execute data mining and investigate adversarial trends, identify behavior patterns, and respond with agile logic changes
Communicate results of analyses to business analysts, managers and executives
Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team
Other projects and duties as assigned

What you'll bring:
Bachelor's degree in in Computer Science, Data Engineering, Machine Learning, Statistics, Applied Mathematics, Economics, or a related field with focus on computer science, data science, or programming
Strong Microsoft SQL programming and administration skills along with an understanding of database design and data collection methodology, including the underlying relational and dimensional data models
Experience in building modern ETL/ELT processes (preferably in Python) to centralize and organize data, and strong understanding of XML and JSON file structures
Understanding of how to utilize cloud based solutions such as those offered by Snowflake and MicrosoftAzure
3-5 years' experience applying data science to real business problems
Minimum 3 years practical experience and ability to implement data science pipelines and applications in a general programming language such as Python
Minimum 3 years practical experience and knowledge of relational databases, such as SQL
Minimum 3 years practical experience and knowledge of data visualization tools, such as Tableau
Knowledge of modern data engineering frameworks, such as dbt
A knowledge of, and passion for finding, the newest and most innovative engineering techniques—the type of programmer who loves refactoring and reading about new frameworks
Understanding of algorithms for classification, regression, clustering, and anomaly detection
Ability to handle high pressure situations while still being attentive to the detail and excellent work product required
Must have high level of interpersonal skills to handle sensitive/confidential situations and information
Ability to comprehend and debug complex systems integrations
Ability to extract meaningful business insights from data and identify the stories behind the patterns
Excellent communication and organization skills, distilling complex analysis and concepts into concise business-focused takeaways
Creativity to engineer novel features and signals, and to push beyond current tools and approaches
Highly analytical person with strong problem-solving and self-directed learning skills, and exceptional attention to detail
Highly self-motivated individual with excellent teamwork spirit
Experience within the sports industry is not required, but is a plus
Submitting a business case study from your past working experience is highly recommended

Working Conditions:
Typical office environment
Must be able to sit and work at a computer 80% of the day
Working schedule/hours will ebb and flow with NFL/NBA schedule, and will include working some late hours, holidays, nights, and weekends

What we offer:
Medical, Dental and Vision Insurance options
401K with employer contributions
Paid parental leave
PTO and paid holidays
Wellness Program

Job Type:
Full-time


Benefits:
401(k)
Dental insurance
Health insurance
Paid time off
Vision insurance

Schedule:
Monday to Friday

Work Location:
In person

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