Technical Lead - Analytics Engineer
Rush Street Interactive — Estonia; Malta; Serbia
Rush Street Interactive (NYSE: RSI) is a market leader in online casino and sports betting, currently operating real-money gaming with our brands: BetRivers.com, PlaySugarHouse.com, and RushBet.co. We’re building bridges between online, social and land-based gaming businesses to create amazing, integrated experiences that keep players in the game.
The Analytics Engineering Technical Lead will define and own the modeling architecture, standards, and technical direction within RSI’s cloud-native Data Platform. This role is accountable for ensuring that analytics-ready data is reliable, scalable, and aligned to long-term business needs across growth, operations, and risk.
You will lead the design and governance of core data models in Snowflake and dbt, establishing best practices that enable high-quality, self-service analytics without sacrificing trust or performance. As a hands-on technical leader, you will set standards for modeling, testing, documentation, and deployment while mentoring other Analytics Engineers and raising the overall technical bar of the team.
This role partners closely with Data Engineering, Analytics, and business stakeholders to translate evolving requirements into durable data products. You will help balance speed and governance, prioritize platform investments, and ensure our data foundation scales with the business.
Our modern data stack includes Snowflake, AWS, Python, Airflow, and dbt.
What You'll Do:
- Lead the design, development, and lifecycle management of curated datasets, dbt models, and analytics data marts aligned to business domains and metrics.
- Establish and evolve standards and best practices for dbt modeling, testing, documentation, and code organization to support long-term scalability.
- Ensure analytical datasets are accurate, reliable, and trusted, serving as a single source of truth for business, product, and stakeholders.
- Embed data quality checks, documentation, and governance directly into analytics pipelines.
- Partner closely with Product, Data Engineering and Analytics teams to translate business requirements into well-modeled, performant data products.
- Mentor and support Analytics Engineers through technical guidance, design reviews, and knowledge sharing.
- Continuously improve and modernize analytics workflows by introducing automation, tooling enhancements, and AI-assisted development where appropriate.
- This role includes technical leadership and mentoring responsibilities for the team, including other Analytics Engineers.
What You'll Bring:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related quantitative discipline.
- Technical Leadership: Proven experience defining technical direction, standards, and architectural decisions within analytics engineering or curation teams.
- Data Modeling Expertise: Deep understanding of dbt, data marts, dimensional modeling, and self-service BI enablement.
- Data Engineering Background: 7+ years of experience in data warehousing or development; 5+ years of experience in hands-on data engineering using SQL and Python.
- Cloud Infrastructure: Proficiency with cloud platforms (AWS, GCP, or Azure), including containerization (Docker/Kubernetes).
- Tooling & Orchestration: Experience with tools like dbt, Airflow, S3, REST APIs, and large-scale DWHs (Snowflake, Redshift, BigQuery, etc.).
- Change Management: Skilled at leading cross-functional data initiatives and driving adoption of new tools and standards.
- People Leadership: Experience mentoring and guiding distributed teams across time zones.
- Communication: Strong written and verbal English skills with the ability to collaborate across technical and business functions.
- Able to travel occasionally both domestically and internationally #LI-HYBRID #LI-PROMOTE
This role is intended to be filled within our Estonia, Serbia, or Malta hiring hubs, and the ranges below apply to those locations. In limited cases where a qualified candidate cannot be identified within these hubs, we may consider other European locations. Where this occurs, compensation will reflect factors such as local market conditions, the candidate's skills and experience, and the scope and level of the role, and we will provide the applicable pay range for that location before proceeding to interview.
- Comprehensive compensation
- Work-life balance initiatives
- Autonomy – we embrace personal freedom and responsibility
- Creativity – we are open to new ideas of how we can be better
- Growth – we want you to develop personally as well as professionally
- Top-notch professionals who are passionate about what they do
- People-oriented environment and supportive atmosphere
As a rapidly growing company in an emerging industry, you’ll have a huge impact on our product and our company. We like proactive team members and strive to have a company of self-disciplined professionals who enjoy collaboration, having fun, and of course, achieving together what others believe to be improbable. We are dedicated to treating everyone with respect and to support your professional and personal growth.
Rush Street Interactive is an equal opportunity employer and committed to a diverse and inclusive workplace. All qualified applicants will be considered for employment without regard to race, national origin, ancestry, sex, sexual orientation, sexual identity and expression, marital status, family status, lifestyle, age, culture, religion, military and veteran status, citizenship, or disability.
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Rush Street Interactive uses AI-assisted tools at select stages of the hiring process to enhance efficiency, consistency, and communication. AI does not make hiring decisions - final decisions are made exclusively by our recruiting and hiring teams.
Rush Street Interactive participates in E-Verify for U.S.-based positions. As required by federal law, we provide the following notices to all prospective U.S. employees:
E-Verify Participation Notice (English/Spanish)
Right to Work Notice (English/Spanish)