Senior Software Engineer (AdTech)

 

 

A bit about us   

Genius Sports is at the forefront of the sports technology landscape, delivering real-time data and innovative digital solutions that connect sports, brands, and fans worldwide. From data capture to distribution, we are an integral partner to sports leagues and federations—including the NFL, English Premier League, FIBA, and NCAA—ensuring that critical data and cutting-edge products reach millions of users.  

If you want to be part of a passionate global team shaping the future of sports entertainment, then come join us. We foster an environment where creativity, collaboration, and continuous learning drive innovation for our partners and end-users.   

About the Role  

We are looking for a Senior Software Engineer who is hungry to learn continuously and take ownership of the tools and products that they work on in accordance with best practices for Agile Software Development. We believe that a good engineer can move from one project to another and can learn new skills effortlessly if they are motivated by what they do. Don't let the language or framework you know now be a barrier to applying for the role you would like!  

We will lean on your technical expertise and your pragmatic approach to problem solving; working in a team that prioritizes the principles of Agile delivery and continuous improvement. You will have a Data-driven, evidence-based mentality, comfortable with the principles of continuous experimentation and validation. 

Key Responsibilities 

• Design, develop, and maintain scalable and robust data pipelines for extraction, transformation, and loading (ETL) of large datasets.
• Optimize data processing jobs and database queries for maximum performance and efficiency.
• Implement and manage data storage solutions, including data warehouses, data lakes, and other distributed systems.
• Write clean, maintainable, and efficient code for data ingestion, processing, and analysis.
• Troubleshoot and debug data pipeline issues, ensuring data quality and integrity.
• Stay up-to-date with emerging data engineering technologies, tools, and best practices.
• Mentor and support other team members in data engineering principles and practices.

Qualifications  

• Proficiency in Java, Python, Kotlin, or Scala.
• Experience with big data technologies such as Spark, Hadoop, and Kafka.
• Familiarity with workflow orchestration tools like Apache Airflow.
• Experience with streaming data platforms like Kafka, Pulsar, Flink
• Experience with building data pipelines and assets, deployed on AWS services such as EMR, EMR Serverless, and AWS Glue
• Experience with relational and NoSQL databases.
• Familiarity with version control systems (e.g., Git).
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a team.
• Strong communication skills.

Preferred Qualifications  

• Experience working with big data technologies (e.g., Spark, Hadoop, Flink).
• Knowledge of modern data pipelines and orchestration tools (e.g., Airflow, Dagster).
• Familiarity with Agile development methodologies.
• Experience with data quality and testing frameworks.

What’s in it for you?   

As well as a competitive salary and annual leave allowance, our benefits include health insurance, skills training and much more, depending on the location. We also offer a host of softer benefits, including many social events throughout the year such as summer and winter holiday parties, monthly team building events, sports tournaments, charity days and wellbeing activities.    

The base salary range for this role is $175,000 - $230,000. There are a number of factors which affect what the specific pay offer would be for this role, including location, seniority, and relevant educational and working experience. This is base salary only – all full-time roles will also be eligible to take part in Genius benefits and some roles may be eligible to take part in a variable compensation plan. For more details on the compensation and benefits package, please get in touch with our Talent team.  

How we work:   

Genius will be returning to the office 4 days a week, and this will give you the opportunity to work collaboratively face-to-face with colleagues in our New York office.   

Our employees are empowered to stretch the boundaries of what’s achievable, always reaching further and pushing the edges to see what gives. We collaborate, we innovate, and we celebrate. We will continue to grow as an organization and continue to invest in our highly talented and diverse team of Geniuses.     

Genius Sports Group is proud to be an equal opportunities employer. We recognize and celebrate the benefits that a diverse and inclusive workforce brings to our business, our customers and our staff. We welcome and will consider all applications regardless of age, different abilities or disability, gender reassignment, marriage, pregnancy, maternity, race or nationality, religion or belief, sex and sexual orientation (and any other applicable status). Please let us know when you apply if you need any assistance during the recruiting process due to a disability.