Company DescriptionFounded 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 DescriptionThe Data Engineer is responsible for developing, constructing, testing and maintaining Tipico’s data platform and pipelines. This is achieved by ensuring the infrastructure is reliable and a high level of data quality is maintained. The Data Engineer will report directly to the VP of data or team lead and work together with rest of the data engineers, BI analysts, and product teams. This person will:Create and maintain both batch (ETL) and real-time data pipelines and architecture Ensure all data provided by Data Platform is of the highest quality and is delivered in a timely manner and in line with agreed SLAs Assemble large and complex data sets that meet functional and non-functional business requirements Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies Collaborate with stakeholders including data architects, Executive, Product, Data, and IT team members from the beginning to the delivery of a project Build a scalable, modern, and trusted data eco system, making sure it is responsive, available and in line with business requirements Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, as well as cloud-based), distributed/elastic environments, and downstream applications and/or self-service solutions Think of new ways to help make our data platform more scalable, resilient, and reliable and then work across our team to put your ideas into action Take part in sprints, workloads, and deliverables through agile methodologies. Manage quality assurance, verification of accuracy and consistency of data – specifically KPI measures sent to the business Provide expert level advice to data engineers to deliver high quality data pipelines and ETL flows. Review design and code produced by other engineers QualificationsEducationBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceExperience Experience working in an online, gaming, or fast-moving industry required 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 Designing technical solutions and teaching team members. SkillsExcellent Verbal and written Communication skills 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 LanguageFluent in English, Oral and written – essential Functional/Technical CompetenceStrong experience with large-scale production databases and SQL Solid understanding of cloud data services: AWS services such as S3, Athena, EC2, RedShift, EMR, EKS, RDS and Lambda Proficient with one or more big data & new data technologies such as DBT, 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 Personal CharacteristicsExemplifies our values – Trust, Passion and Progress Proactive, agile, innovative and solution orientated work approach with strong sense of ownership and accountability for his’s/her’s 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 InformationWhat'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 range for this role is $140-150k