Sr. Data Engineer

Tipico USA Technologies

Hoboken, NJ, USA Remote

Full time

Data + Analytics

Mar 21

Tipico is an energetic, passionate, bold tech company, and we love sports! Tipico has recently expanded to the US market, establishing offices in Hoboken, New Jersey and Denver, Colorado. We are driven by our core values: passionprogress and trust. Our goal is to build the best possible mobile sports betting product in the industry, in order to amplify the emotions of millions of sports fans every day. Let’s Make This Interesting ™

Note: This job is located in our Denver and Hoboken location.

Job Description

Do you have a passion for data? Are you up to date with the best practices and emerging trends in the development and upkeep of data environments? Does working in a collaborative environment make you contemplate leaving your current role?

If so, you are in the right place! We are looking for someone who will take responsibility and pride in their work while addressing the reporting and data analysis needs of the stakeholders. The Sr. Data Engineer will work with other engineers in the team while ensuring technology alignment and development standards.

This position requires someone who has a proactive, innovative, and solution-orientated work approach. A person who is a team player with a hands-on approach, that thrives in a fast-paced challenging environment.

The Sr. Data Engineer will report directly to the Data Engineering Manager and work together with rest of the data engineers, BI analysts, and product teams. The position holder ensures this is done by doing the following: 

  • Creates and maintains both batch (ETL) and real-time data pipelines and architecture
  • Ensures all data provided by Data Platform is of the highest quality and is delivered in a timely manner and in line with agreed SLAs
  • Assembles large and complex data sets that meet functional and non-functional business requirements
  • Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
  • Builds 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
  • Collaborates 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
  • Takes 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
  • Open to continuous learning individually and with the Team
  • Thrives working in a fast-paced and challenging environment
  • Comfortable with being challenged / seeking challenge
  • Willing to work flexible hours if needed


  • 5+ years in Data Platforms / Datawarehouse / BI experience
  • Must have experience in successfully implementing data-centric applications, such as data warehouses, operational data stores, and data integration projects
  • Strong analytical and problem-solving skills that balance with creative approaches
  • Must have experience with large-scale production databases and SQL
  • Must have experience with one or more cloud data services: AWS services such as S3, Athena, EC2, RedShift, EMR, EKS, RDS and Lambda
  • Direct experience with data modeling, ETL/ELT development principles, cloud development, and data warehousing concepts
  • Must have experience with one or more big data & new data technologies such as TalendNIFI, Airflow, Glue, Kafka
  • Knowledge in working with time-series/analytics databases such as Elasticsearch
  • Understanding of containerization and orchestration technologies like Docker/Kubernetes
  • Must be able to take ownership of projects with a high level of attention to detail and priority
  • Ability to learn new and complex concepts quickly
  • Excellent communication skills. Ability to effectively communicate with both technical and non-technical audiences
  • Highly collaborative in working teammates and stakeholders
  • Team player with a hands-on approach and attitude
  • Must be comfortable with on call rotation and weekend support when required

Additional Information

Nice to have: 

  • Familiarity with Marketing tooling and/or CRM systems is preferred
  • Familiarity with using business intelligence tools such as PowerBI, Domo, Tableau, Looker
  • Knowledge about and / or experience with sports betting
  • Background in digital companies, online, gambling, gaming, e-commerce, marketing, or mobile apps.
  • Familiarity with one scripting language, preferably Python

What's in it for you:

  • You will be a part of one of the newest and up and coming USA online iGaming and sports betting companies in the market
  • Work in a new and young business with high growth potential 
  • Build your own success story together with us 
  • Work with self-organized, self-responsible and entrepreneurial employees 
  • 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!
  • Competitive salary, 401k match, unlimited PTO, Medical, Vision, Dental Benefits, Unlimited PTO and more!

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