Founded in Europe in 2004, Tipico is now a licensed U.S. Sportsbook operating in New Jersey, Iowa, Ohio, and Colorado. Renowned in Germany and globally, Tipico offers online betting across 30 sports. Guided by values such as innovation and inclusion, Tipico focuses on creating top-notch mobile sports betting and casino products. Recently recognized as the No. 1 rated casino app in the U.S., Tipico is dedicated to enhancing gaming excitement for millions daily. Join us in redefining excellence in online entertainment!
Please note: this role is located in our Hoboken, NJ office; we work off a hybrid model and come into the office 2 days per week.
Job Description
We are seeking a highly skilled and motivated Senior Data Engineer to join our dynamic team. In this crucial role, you will be instrumental in fostering a data-driven culture across our organization, enabling departments to leverage data comprehensively and facilitating data teams in building models, AI, and machine learning solutions. Your expertise will drive the development and maintenance of our state-of-the-art cloud-based data platform, which is central to powering our globally recognized brand. Key Responsibilities:
Build and maintain highly scalable and robust data management systems tailored to specific business needs and challenges.
Ensure systems meet business requirements and industry practices for data integrity, security, and accessibility.
Build, maintain, develop, test, deploy and enhance our data pipelines and systems
Collaborate with data team and stakeholders including data architects, Executive and Product from the beginning to the delivery of a project
Ensure the highest quality of data is made available throughout the entire organization and systems meeting our SLAs
Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience
Experience working in an online, gaming, or fast-moving industry
7+ years of work experience in data engineers and data platforms
Must have experience in successfully implementing data-centric applications, such as data warehouses, operational data stores, and data integration projects
Experience with SQL, ETL, data modeling, and Python
Experience working with terabyte to petabyte scale data
Functional/Technical Skills
Proven track record in data engineering with large scale production data platforms, showcasing successful project deliveries.
Proficiency in SQL database design and multiple programming languages such as Python or Java.
Extensive experience with major cloud data platforms such as AWS and Google Cloud.
Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
Proficient with one or more big data & new data technologies such as DBT, Apache NiFi, Airflow, Kafka
Knowledge in working with time-series/analytics databases such as Elasticsearch
Understanding of containerization and orchestration technologies like Docker/Kubernetes
Familiarity with Marketing tooling and/or CRM systems is preferred
Familiarity with using business intelligence tools such as Domo, Superset or other similar tooling
Skills
Excellent Verbal and written Communication skills; must be fluent in English
Strong analytical and problem-solving skills that balance with creative approaches
Ability to take ownership of projects with diligence and consistency in carrying out tasks with a high level of attention to detail and priority
Collaborative, able to engage in interactive discussions with the rest of the team and able to communicate technical concepts clearly and concisely
Personal Characteristics
Exemplifies our values – Trust, Passion and Progress
Proactive, agile, innovative and solution orientated work approach with strong sense of ownership and accountability for his/her work and impact on business
Thrives working in a fast-paced and challenging environment
Ability to think outside of the box, be innovative, adaptable, identify continuous improvement areas and come up with creative solutions to challenges
Detail-oriented and organized.
Strong work ethic and ability to work in a collaborative environment.
Ability to multitask and prioritize.
Adaptability and flexibility
Constructively challenges with positive arguments
Comfortable with being challenged / seeking challenge
Additional Information
What's in it for you:
Work in a new and thriving industry with high growth potential.
Competitive salary and performance bonus.
Medical, Dental, and Vision Insurance.
401k employer matching.
Unlimited PTO with 15 paid holidays.
100% paid parental leave.
Professional training and development opportunities.
Gym reimbursement.
Free workout classes at Prime Cycle in Hoboken, NJ.
1-year free Apple Fitness+ subscription.
Work in an environment with a start-up feeling, backed-up by a leading European sports betting house. We are a high-volume business and are taking off in the US!
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