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Data Engineer
$114k-140k (estimate)
Full Time 0 Months Ago
Save

Tipico - North America is Hiring a Data Engineer Near Denver, CO

Company Description

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 Denver, CO 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 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 
  • 3-5 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!

Salary for this position is $100k - 120k & annual performance bonus

Job Summary

JOB TYPE

Full Time

SALARY

$114k-140k (estimate)

POST DATE

05/13/2023

EXPIRATION DATE

06/19/2024

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

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A data engineer prepares data for analytical or operational uses.

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Data engineers simplify complex data structure and prevent the reduplication of data.

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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

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Oil changes are an essential component of preventative maintenance.

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A data engineer should be aligned with a data scientist’s needs while creating a data system.

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Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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