Bally's Corporation is a global casino-entertainment company with a growing omni-channel presence.
It currently owns and manages 15 casinos across 10 states, a golf course in New York, a horse racetrack in Colorado, and has access to OSB licenses in 18 states.
It also owns Bally's Interactive International, formerly Gamesys Group, a leading, global, online gaming operator, Bally Bet, a first-in-class sports betting platform, and Bally Casino, a growing iCasino platform.
With 10,600 employees, the Company's casino operations include approximately 15,300 slot machines, 580 table games and 3,800 hotel rooms.
Upon completing the construction of a permanent casino facility in Chicago, Bally's will own and/or manage 15 casinos across 10 states.
Bally's also has rights to developable land in Las Vegas post the closure of the Tropicana.
Its shares trade on the New York Stock Exchange under the ticker symbol "BALY".
Well, what about the team?
We're looking for a Senior Data Developer with strong leadership capabilities and the ability to drive innovation in a greenfield space.
This isn't your typical platform maintenance role - we're building entirely new applications and pipelines, so we need someone who can operate autonomously, challenge the status quo, and prototype and build beyond existing tools or stacks.
As part of our forward-thinking Data Engineering team, you'll be at the forefront of developing new batch and streaming solutions that power business-critical applications.
You'll collaborate with product owners, architects, and engineers across disciplines to shape our future-facing data capabilities - including those that don't yet exist.
We're seeking someone who combines deep Python expertise, strong software development principles, and modern data architecture know-how, with the confidence and clarity to lead technical decisions in ambiguous or early-stage environments.
So, what will you be doing?
- Leading the design and development of new data applications and pipelines from scratch - with minimal constraints on tools or tech stack.
- Building and optimizing scalable batch and streaming data pipelines using modern data frameworks and software engineering best practices.
- Creating prototypes and PoCs to validate ideas and guide product and architectural decisions.
- Applying solid software engineering fundamentals (modularity, reusability, TDD, CI/CD) to data-centric problems.
- Working closely with data architects, machine learning engineers, and stakeholders to design elegant and scalable data solutions.
- Driving technical discussions, mentor engineers, and help shape long-term data strategy.
- Taking ownership of data reliability, pipeline observability, and performance optimization.
And what are we looking for?
Advanced Python Engineering Skills:
- Deep experience building data services and tools in Python (not just scripts).
- Strong knowledge of Python design patterns, modular architecture, dependency injection, and packaging best practices.
- Familiarity with Python based web frameworks, FastAPI, or similar frameworks is a plus.
- Expertise in building resilient, maintainable batch and real-time data pipelines.
- Proven experience with tools like Apache Spark, Apache Beam, or Airflow.
- Experience working with streaming technologies (Kafka, Pulsar, Flink, or similar).
- Experience deploying and scaling solutions in cloud environments (AWS, GCP, or Azure).
- Solid understanding of data lakehouse architecture, Delta Lake, Parquet, and partitioning strategies.
Software Engineering & Leadership:
- Strong understanding of software development lifecycles, TDD, CI/CD, and version control (Git).
- Demonstrated ability to lead technical decisions, influence design patterns, and drive engineering excellence.
- Ability to prototype new solutions and evaluate trade-offs before committing to an implementation path.
Nice to Have:
- Hands-on experience with the Databricks ecosystem.
- Familiarity with data governance, access controls, and lineage tooling in modern stacks (Unity Catalog, Iceberg, etc.).
- Infrastructure-as-code experience (e.g., Terraform, CloudFormation).
- Monitoring, alerting, and observability tooling for data pipelines (e.g., Prometheus, Grafana, Datadog).
This is what you'll get
Different benefits packages are tailored to fit each location, but here's a taste of what may be on offer:
- Annual vacation
- Annual bonus
- RRSP program
- Health insurance
- Home office allowance
- Wellness allowance
DNA / Values
At Bally's Interactive, we are driven by a set of core values that we like to call our DNA.
We strive to embody our DNA and keep them at the heart of everything we do!
We are Always Ready to embrace change, adapt, and do what it takes to delight our customers.
We believe that You Make the Difference, which is what gives our players the best experience and keeps them coming back.
We are All One Team, looking out for each other, respecting diversity while connecting through a common purpose.
Our teams are Learning Every Day by showing constant curiosity and the drive to learn from successes, mistakes, new experiences, and the people around us.
At Bally's we Love to Lead by thinking differently, seeking innovation, and always looking for ways to raise our game.
At Bally's Interactive, we are committed to promoting equal opportunities in employment and working conditions.
Diversity, Equity and Inclusion are important to us, and we encourage a culture where everyone can be themselves at work.
We believe passionately that employing a diverse workforce is central to our success, this is our superpower.
We do not discriminate against employees or job applicants on the basis of race, colour, nationality, ethnic or national origin, age, sex or sexual orientation, gender reassignment, religion or belief, marital or civil partner status, pregnancy or maternity, political opinion or disability.
Flexible Working
At Bally's Interactive, we believe in the power of collaboration and working together in a shared space, as well as the benefits of working from home.
We champion hybrid working wherever we can, offering a flexible blend of working in the office 3 days a week and from home twice a week.
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